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DATA ANALYSIS

Essentials

Gain solid skills to get started in Data

Fullstack

Gain solid skills to get started in Data

Lead

Become an ace at data analysis in all its forms

DATA SCIENCE & ENGINEERING

Essentials

Gain solid skills to get started in Data

Fullstack

Master the entire data pipeline like a data scientist

Lead

Get the advanced skills of the Data Engineer

CYBERSECURITY

Essentials

Protect business infrastructure

Fullstack

Become a true ethical hacker

Training

DATA ANALYSIS

Essentials

Acquire the basic skills to analyze your data

Fullstack

Become an ace at data analysis in all its forms

Lead

Get a strategic role in managing your data

DATA SCIENCE & ENGINEERING

Essentials

Acquire the basic skills in Data

Fullstack

Control the entire data pipeline, from collection to production

Lead

Get the advanced skills of the Data Engineer

CYBERSECURITY

Essentials

Protect business infrastructure

Fullstack

Become a true ethical hacker

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Find your campus

Jedha is present throughout France and Europe. You can follow your training on site or remotely. You will be able to follow your Data and Cybersecurity training, always accompanied by a teacher and a pedagogical team.

Choose a city

All our campuses offer distance learning.

You still have the option of alternating between face-to-face and distance learning: there's no reason not to take the plunge!

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Your questions about our campuses

I have a Tech background but would like to have additional skills

Whether you are a developer, a data professional or any other expertise in Tech, sooner or later you will be confronted with data protection or security issues. Having this double skill with Cybersecurity will only make you more attractive to recruiters. Whether you have the basics with Cybersecurity Essentials, or you want to get your job in Cybersecurity with the Fullstack training.

You want to learn how to use your data without becoming too technical.

Whether you want to supervise non-technical teams or help them manage their 'business' issues, you can totally turn to this Fullstack Data analysis training. If you want to break into data, and want to keep an eye on the business side of things, this course is for you!

Can I finance the training through a third party professional?

We are Datadocked, and to this extent, you can effectively have the training financed by your company or by the OPCO of the branch to which you belong. By applying to them, you can receive total or partial funding for your training. We can advise you on the steps to take. If you have a promise of employment from your future employer, you can apply for a POEI (operational preparation for employment) to receive even more funding (company + Pôle Emploi).

When will the next sessions take place?

We invite you to look at the Campus pages or send us an email to find out about upcoming sessions on our various campuses.

What will I be able to do professionally after the courses?

Essentials Program: you will be able to manage & take part in Data issues in a company. You will be autonomous and operational, while having the skills to continue in this path of Data Science.

Fullstack Program: you will know in depth all the domains that a Full-Stack Data Scientist must know. You will be able to collect data from any source, structure it and analyze it for the needs of your problem. You will be able to use your skills in code, Machine Learning and Big Data to create and put complex algorithms into production. Thus, you will be able to solve complex and varied problems in Data Science in companies. During your training, you will have several advanced projects to carry out - accompanied by your teachers - that you will then be able to present to a recruiter or a potential client. You will also have a very solid foundation in Data Engineering, to learn how to manage your infrastructures and deploy your applications.

Lead Program: after this 3rd training course, you will have a highly valued combination of skills, the double hat Data Scientist / Data Engineer. The objective is twofold. First, you will be able to build your own data pipeline and build a solid infrastructure to manage all the data generated and managed by the company. You will then be able to make the Data Scientist's modelling available to the whole company, its customers and internal players: this is the production phase.

Can I attend the online bootcamp?

All our bootcamps can be taken 100% online, 100% on site or alternating the two, the choice is yours!

What are the prerequisites for this program?

To maximize your learning experience, we require students to have basic knowledge of SQL, statistics, and Python programming. If you have already taken the Data Essentials program, you will be able to go directly to the Fullstack Data Analysis bootcamp. If not, you will simply have to take a 15-minute test.

Are 40 or 70 hours enough to have the basics in Cybersecurity?

Our Cyber Security Essentials programme has been built to provide you with the complete basics in Cyber. The idea is that you get an overview of what is being done in Ethical Hacking. You will learn the basics in Infrastructure, Networking, but also in Pentesting. Thanks to the excellent tutelage by your teachers and through the practice of numerous exercises, you will be able to perform your first Pentest. You can apply or ask for the syllabus before making an appointment with the admissions team to ask all your questions about the programme.

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Are there any pre-requisites to join these programs?

Essentials Program: the idea of this program is to democratize Data Science. That's why no technical prerequisites are required to join. We assume that our students have an appetite for the discipline and a basic knowledge of mathematics.

Fullstack program: to join the program, you need to have some knowledge of programming, mathematics and have notions of SQL database management and Machine Learning. If you don't have any of these skills, we recommend that you start with our Essentials program to learn the basics. Feel free to contact our admissions team to assess your level.

Lead Program: This program is designed for people who already have strong data science and modeling skills. To successfully complete this program, you will need the equivalent of the Fullstack bootcamp skills or about 2 years of experience in Data. Talk to our admissions team about your application.

These programs can be taken individually or as a package (Pathway).

Block 2 - Exploratory, descriptive and inferential data analysis

Process databases through descriptive and inferential statistical analysis via programming libraries such as Numpy or Pandas, to organize and clean them in order to normalize them with respect to the population under study.
Perform univariate and multivariate analyses on structured databases to identify relationships between several variables and establish statistical links between them.
Optimize statistical analysis through parallelized processing using tools such as Spark to accelerate computer processing time in order to analyze massive volumes of data (Big Data)
Present the result of a statistical analysis of structured data, massive or not, thanks to programming libraries such as Plotly or Matplotlib to synthesize this result in front of a lay public in order to facilitate the decision-making and to support their operational declensions.
Evaluation: Two case studies on real data
Assessmenttopic:
- Handling missing values and outliers from a non-massive database and then analysing them to determine and present trends through graphs.
- Analysis of a massive unstructured database (using Spark) adapted to a defined problem.

Can I aspire to a Data Analyst job after bootcamp?

Yes, this bootcamp was designed for that. We aim for excellence in our training and our job placement is 90% within 3 months, you have everything you need to break into Data. Moreover, the World Economic Forum, in its report on the future of jobs, stated that Data Scientists, Data Analysts, AI & Machine Learning Specialists are the most in-demand positions, making the opportunities in Data endless.

What is a typical day like?

Our main strength is the practical aspect of our training. In all our programmes, each module is divided equally between the study of necessary theoretical concepts - usually in the morning - and the practical application of these concepts in the afternoon. A one-hour lunch break is included in your schedule for the Saturday intensive and part-time courses. The full day is 5 hours of class time so that you are not overloaded, but you can of course stay in your room to ask questions or talk to your classmates and teachers. If you take the course part-time, the schedule is rearranged, but the programme does not change.

I saw that you also offer a Fullstack Data Science Bootcamp, which one should I choose?

It totally depends on what you want to do with your career. There are many opportunities in both programs. The main difference is whether you want to stay close to the business or the Tech side. If you really like the Tech part and are passionate about Data, then Fullstack Data Science training will fit you like a glove. If you prefer to use data in your business but your main driver is still the business itself, then the Fullstack Data Analysis bootcamp will be perfect for you. Either way, it's a great conversation to have with our team of coaches, so don't hesitate to schedule a 30-minute appointment with them. It's free!

Do you offer bank loans?

You can indeed benefit from a loan granted by our partner: Crédit du Nord. We invite you to contact the admissions team to find out the terms and conditions of the loan.

What types of profiles are accepted?

There is no typical profile! Our students have a wide range of profiles: entrepreneurs, job seekers, students, etc. All sectors of activity are also concerned.

I want to get my job in Cybersecurity

This training is designed to professionalise you in the sector. Various jobs will be accessible to you, but above all you will learn about all aspects of cybersecurity, from network and network infrastructure to post-operations, including all phases of operations, cyber-attacks and intrusion tests.

What is the real advantage of your school?

In addition to the Bootcamp format, which is intensive in the teaching we provide, we also make a point of putting into practice all the technical concepts we cover in our courses. The realization of a Data project will help you to better understand all the issues related to Data Science in various sectors, and will make you cross Data with another of your interests. Also, the particular care taken to make your bootcamp an unforgettable experience is our main mission: both in terms of pedagogy and in terms of the relationships we maintain with our students. Once you have joined our community of students and alumni, we will share exclusive resources with you, as well as invitations to our events.

Block 4 - Predictive analysis of unstructured data using artificial intelligence

Process unstructured data (image, text, audio) by creating processing functions using programming libraries such as TensorFlow or Numpy to transform them into matrices in order to make them interpretable by a deep learning algorithm
Develop adapted neural networks (classical, convolutional or recursive) by superimposing neural layers via programming libraries such as TensorFlow to analyze unstructured data in order to detect signals on the latter
Create a robust and accurate algorithm by configuring a deep pre-trained neural network to address prediction problems on massive data volumes
Create unstructured data by building adversarial neural networks to build new training bases for artificial intelligence applications
Evaluate the performance of a deep machine learning algorithm by assessing indicators on training and validation data in order to industrialize its use
Evaluation: a practical case study on unstructured data
Evaluation topic: Sentiment analysis, by developing an algorithm to determine the sentiment of a user towards a product (with the possibility of creating new data to enhance the database).

My company has been hacked and I want to know exactly what happened

It happens to all types of companies! Whether large or small, full-stack students whose companies have been hacked will be able to understand the full extent of the vulnerabilities that have been exploited, but will also be able to find safe ways to protect their infrastructure well afterwards.

In which language are the courses given?

The courses are delivered in French, with content written in English for the Fullstack & Lead programs. Why is this? You will soon realize that all the online resources and documentations of the Data tools are in English. You might as well take the plunge during your training!

However, we regularly receive English-speaking students who have a good grounding in French. Their ability to understand French easily and the fact that most of the technical terms are in English allows them to follow without problems. Do not hesitate to contact the admissions team to validate your level of French!

Are you eligible for the CPF?

Yes! Since February 2021, all our training courses (Essentials, Fullstack, Lead) are eligible for CPF. You can take advantage of your CPF balance to finance all or part of your training and receive your state-recognized "Data Science Designer-Developer" certificate.

I manage a technical team, I would like to understand it better.

When you manage a technical team, when you lead technical projects, it will always be very useful to have a solid knowledge of the environment in order to guide actions and make more informed decisions. This is true in Cyber Security, but also in all sectors of Tech. You will be all the more aware of the stakes of your project, of the challenges they have to face, but also of the workloads and required skillsets of everyone.

You want to run your own business with the right tools.

If you are already managing your business, there are many tools that will help you, as well as building dashboards to help you make the right decisions. This training will show you the right set of tools to automate your workflows and query the data: you will save a lot of time; you will not have to ask your team for the metrics you are interested in. You will see them for yourself, graphically & visually, and in real time!

How long do the Jedha trainings last?

All Jedha courses are delivered in Paris & Lyon, part-time and full-time. Here are the different durations of our courses.

Essentials

Part-time (evening or weekend courses): 40 hours of training
Full-time (Monday to Friday during the day): 50 hours of training

The reason for the difference? Because the full-time rhythm is more intense, we give the student more hours of lessons, time that he or she can use to better assimilate the concepts.

Fullstack

Part-time (evening and weekend courses): 180 hours of training
Full-time (Monday to Friday during the day): 300 hours of training

The reason for the difference? The students following the part-time training are generally people in employment. For this reason, the timetable and the curriculum have been revised to fit in with their schedules (the career module, for example, has been shortened, while the team is still present for individual coaching needs).

Lead

Part-time (weekend courses): 70 hours of training
Full-time (Monday to Friday during the day): 70 hours of training

Who are these courses for?

Data is everywhere and protecting it is essential. Whether you're in Finance, Marketing, Sales, or any other industry, you'll need to be able to leverage data management tools to address your business issues. These courses are for anyone who wants to master these skills, to get a job in Data or Cybersecurity - jobs that are in demand by all recruiters.

Where do the sessions take place?

We offer training sessions on our 2 campuses: Paris & Lyon. Do not hesitate to contact our admissions team for the exact addresses.

The business part is what drives you in your job.

There are two ways to become data experts. The first is to become very technical and learn everything there is to know about DataEngineering, AI and data analysis in general. If that's something you'd like to do, feel free to check out our Fullstack Data Science & Engineering program. But if you really like to be close to the business itself, then the Fullstack Data Analyst course is for you!

What is the completion rate of the training?

The completion rate at Jedha is 82%. This rate represents the number of people who have completed the entire Jedha course out of the total number of registrants. All duplicates, both in certificates and in registrants, have been removed. The focus is only on the personal journey, independent of the training journey.

You work (or plan to make your career) in a startup / scale up oriented Data

Artificial Intelligence is not yet on your organization's roadmap, but your organization still wants to build dashboards, understand its customers and use marketing tools to their full potential: this training is for you.

Do I have to bring my own computer?

Your main tool will be your computer! It is therefore essential that you come with your own machine. We do not provide computers so that you can feel comfortable and familiar with your own gear. We provide access to all the necessary tools and platforms you will need for the programme. To follow the Cyber Security courses, it will be useful to have a computer with 8GB of RAM, and some free storage available.

Can I be financed by Pôle Emploi?

We are also referenced on Kairos, the Pôle Emploi platform, and in their quality catalogue. It is up to your advisor to determine your eligibility for a particular training course. Depending on your motivation to take our training courses, the suitability of your professional project, and other criteria, he or she will decide on the possibility of financing by the Pôle Emploi, and we will be able to send you a quote. We can also advise you on the steps to take.

What are the benefits of joining the community?

By joining the Jedha community, you get privileged access to all our career events, workshops and conferences. Of course, you have lifetime access to the course content to work on it after the training. We have also created a Facebook group and a Slack workspace specifically for you to share best practices and tips. Career support will be your main asset during the training: helping you to get a job in Data is our main goal.

What salary will I be entitled to?

With Data Science and Data Engineering skills in short supply, companies are generally quite generous with their talent. The entry level salary for a Data Scientist ranges from €45,000 to €65,000 per year with an average of €50,000 per year according to Glassdoor. This applies to the Paris area. For a Data Analyst, you can expect a salary of €42,000 per year. The position of Data Engineer, is often paid around 48 000€ per year. All these salaries vary greatly depending on the sector of the company.

Block 1 - Building and powering a data management infrastructure

Design a robust and appropriate data architecture by creating data lakes and data warehouses to meet the storage, usage, security and protection needs of the organization
Integrate the storage and distributed computing dimension into the data infrastructure through the use of tools such as Spark or AWS Redshift in order to adapt it to Big Data management needs
Collect data from different sources (Web, internal software such as Sage / Excel or external software such as Google Analytics) via programming libraries such as Scrapy or Beautifulsoup to feed the Data Lake in order to refine the results of future analyses.

Clean and organize data in the Data Warehouse by writing extraction, transformation and loading (ETL) processes to make the data available and understandable to other business teams.
Evaluation: A case study on real data
Evaluation topic: Construction of a Cloud infrastructure hosting Big Data (web data collection, data integration in a Data Lake, cleaning and loading of data in a database such as AWS Redshift by parallelized processing if necessary via the construction of an ETL process).

I work in a company that was hacked, I would like to know what happened!

This is a story we are hearing more and more often. Whether you are a developer, a data professional, or in a support role (customer service, marketing, finance, admin), having knowledge of Cyber Security will give you the first keys to understanding what happened to your organisation. If the cyber-attack you have been the victim of is significant, we strongly advise you to take the Full Stack Cyber Security course next, in which you will have a comprehensive and technically advanced understanding of a Cyber Security project.

Can I expect professional opportunities if I "only" do the Essentials or Fullstack course?

Of course! All our programs have been designed to professionalize you as much as possible, to be as close as possible to the realities of the market. Our coaches will be there to advise you on the jobs you can take on after each of your courses.

Block #6 - Data Management Project Management

Translate business challenges into mathematical/data issues by understanding the specific needs of each data project in order to meet the organization's objectives
Mastering the most recent and adapted technologies on the market thanks to technological watch and constant practice to develop expertise. The objective is to be able to propose to business departments the most appropriate solutions to a problem and the constant improvement of data management processes already in place
Define a specification, a retroplanning and a budget in order to defend and detail a data project that meets the needs of the organization
Manage a data analysis and management project (descriptive statistical analysis, Machine Learning, Deep Learning, Big Data or not) thanks to the elaboration of adapted indicators and dashboards, in order to follow up and evaluate the action, as well as the operational declination of its results
Transmit the information extraction and data analysis process to the business units by popularizing it in order to support the implementation of a strategy and future actions.
Lead a data management project from conception to solution implementation, to see it through to completion, to be the key person with all the information on the project at all times, and to support other departments in the organisation in all activities related to the project
The evaluation: a data project designed from scratch.
Assessment topic: free. Learners can prepare the data project of their choice. This can be personal, developed by the candidate in the context of his/her professional activity, or defined by a partner company.

How many people are there?

In order to guarantee a good educational experience and to maintain a good relationship with the teachers, we keep the group size to a maximum of 15 students. When the sessions exceed 15 people, a "Teacher Assistant" system is set up to accompany you in your learning of Data Sciences.

I don't have any code experience, can I apply for these courses?

We can discuss your opportunities in Data and Cyber even if you have no programming experience. In this case, we recommend that you first take our Data or Cyber Essentials program to build a solid foundation of skills.

What are the pre-requisites for this course?

This training course is intended to be accessible to as many people as possible, which is why we do not require any technical prerequisites, but simply that you complete some prep-work once you have registered so that you can follow the course with peace of mind. Once you have registered, we will give you access to our JULIE platform, where you will find the content to prepare: Javascript, networking knowledge on the menu!

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I am self-financing, what are the payment terms?

You have the choice! We offer you the possibility to pay in 3 instalments without fees, or to spread your payment in 4 to 10 monthly instalments with our partner Pledg. You can also take out a student loan with Crédit du Nord.

Can I start a course without starting with the Essentials?

If you have the level, absolutely! Make an appointment with our admissions team who will give you a test to find out your technical level. Depending on your level, you can start directly with the Full Stack or even Lead program.

I don't come from the tech world at all, but I discovered Cyber Security and I liked it!

Intellectual curiosity is a great motivator! If you want to learn more about Cyber Security, or discover this universe fully, the Cyber Security Essentials course is perfect for you. You will learn the technical basics of this field, and get a really good opportunity to understand if you want to continue down this path or not.

Block 3 - Predictive analysis of structured data using artificial intelligence

Process structured data by creating a processing pipeline using programming libraries such as Scikit-Learn to encode, normalize and slice data in order to make it interpretable by a Machine Learning algorithm
Perform predictive analysis on a structured dataset using adapted supervised machine learning algorithms to automate tasks related to the results of the predictions of these algorithms
Develop an unsupervised machine learning algorithm to segment a database into different homogeneous groups or reduce the size of the database in order to understand observations in a granular way and allow their visualisation
Evaluate the predictive performance of machine learning algorithms by determining the influence of different variables in order to improve them and demonstrate their usefulness to business departments, in relation to the processes already established in the organization.
Evaluation: three practical case studies drawn from real cases
Evaluation topic:
- Optimization of marketing processes for prospect qualification through supervised learning algorithms
- Optimization of supervised machine learning algorithms on unbalanced databases
- Localization of geographical density zones through the development of unsupervised machine learning algorithms

Is it possible to follow the training at a distance?

Until further notice, our training courses are delivered both face-to-face and remotely.
Data Sciences is a technical discipline that requires - when you start - a certain amount of support.

All your teachers and Teachers Assistants have been trained on the tools that allow the sessions to run smoothly, whether you follow them face-to-face or remotely.

Block n°5 - Industrialization of a machine learning algorithm and automation of decision processes

Standardize the construction and computing environment of a machine learning algorithm using production tools such as MLflow and Docker to facilitate the production of artificial intelligence projects on all types of platforms
Create an application programming interface using tools such as AWS SageMaker to give all relevant business teams access to machine learning algorithm predictions at scale
Deploy a web application integrating predictive statistics algorithms (Machine Learning and Deep Learning) thanks to tools such as Flask, Heroku or AWS Sagemaker to make them usable by all business teams in order to automate their decision-making process
Evaluation: a practical case study on the deployment of a machine learning algorithm
Evaluation topic: Web dashboard, construction and production of an artificial intelligence web application

I have ZERO technical background, can I still pass this program?

If you are starting from scratch in the data field, we highly recommend our Data Essentials Bootcamp that will teach you the basics. In any case, we will assess your level with you before you register. In particular, we will test your level in statistics, Python and SQL. Don't hesitate to come and discuss with us if you want to have a better idea of your level!

Block n°2 - Management of networks and computer systems

Design a network architecture using the appropriate tools and methods and in accordance with the needs of the organization and its users in order to guarantee the general technological security of the infrastructure
Write scripts adapted to the local machine operating system, ensuring that all components interact with each other in order to be able to manipulate the organization's network in a functional and secure manner
Implement cyber defense best practices (Defense in depth, CIA Triad) by adapting documented procedures and disseminate them through appropriate communication via company channels to the teams in order to secure the organization's infrastructure
Ensure and disseminate a technological watch of systems, networks and their updates, to exploit this watch efficiently in order to apprehend potential threats, flaws and identify innovations that can be implemented in the IS

Evaluation: Resolution of a practical case in a dedicated environment "Design of secure architectures"
Evaluation topic: Case study (in a dedicated environment) of infrastructure management using bash & python scripts and written synthesis with justification of technical choices. The candidate will also be subjected to a question and answer session with an evaluator (business and technical expert)

Deliverable: Architecture implemented in the dedicated environment plus synthesis including an architecture diagram (2 pages max)

I discovered the world of data recently and I would like to explore or get hired in it.

We'd recommend beginning with our Data Essentials course to make sure you have a good handle on the basics. This course will show you how to create your first Data project and introduce you to the possibilities of this rich discipline. The next step in your progression is our Full Stack course which will allow you to become a true Data professional, master the entire Data pipeline and expand your portfolio.

What are the pre-requisites to join the Lead course?

To join the Jedha Data Lead course, you have 2 options:

You will be able to complete the Lead course in the best possible way if you take the Fullstack course beforehand. This 70-hour Lead course teaches expert-level data engineering skills and a very solid set of knowledge and requirements. The Fullstack training will give you all the keys to have this knowledge.
In order for you to take the Lead course without having taken the Fullstack course, you will need to have the equivalent skill set. You will send an application to our admissions team, who will study it before validating your registration.

For more information on all this, you can make an appointment with our admissions team.

I often manage or interact with technical teams, but I would like to understand them better...

You may not neccessarily want to get a job in Data yourself but rather learn how to be more effective in managing technical projects. Our Data Essentials course can help give you the skills to more effectively interact with Data Scientists, Data Analysts or Developers. It will give you a very good overview. Your teachers and the entire Jedha community will be able to give you the best advice on how to understand tech language and how to work together most effectively.

What are the prerequisites for this course?

You have 2 options to qualify for the Full Stack training and meet the required prerequisites

You can complete the Jedha Data Essentials training. This will allow you to follow the Full Stack programme optimally. You will master the basics of Python, SQL, and Machine Learning, allowing you to go further in your expertise in this 420-hour training.
If you have not taken the Data Essentials course or do not wish to do so, you will be required to have basic Python & SQL skills. You will be required to pass a coding challenge sent by our admissions team to ensure that you can complete the Full Stack course with confidence.

To find out more about the requirements, please contact our admissions team by applying or requesting the syllabus.

Are 40 or 70 hours enough to get the basics in Data?

The Data Essentials programme has been built to teach you the basics of Data. The idea is that you will get an overview of what is happening in Data Analysis and Data Science disciplines. You will learn the basics of Python code, Database Management, as well as Machine Learning. Accompanied by your teachers and through the practice of numerous exercises, you will be able to carry out your first Data project, from the recovery of your database to the development of your Machine Learning algorithm. Discover the Data projects that our students have done on the Jedha blog! You can apply or request the syllabus before making an appointment with the admissions team to ask any questions you may have about the programme.

Are the courses face-to-face or distance learning?

Both! You can follow all of our courses either face-to-face or remotely, and you can alternate between these two options according to your personal and professional schedule. The common denominator between face-to-face and distance learning? We guarantee you an optimal training experience. You can find all your course content on our online training platform JULIE as well as all your courses on your own video playlist.

Face-to-face: we will be delighted to welcome you to our campuses! Face to face with your teacher, in groups or independently, carry out your exercises and complete your projects in an ideal working environment.
Distance learning: Zoom, a real online classroom! You can share your screen to fix code bugs, form sub-groups in separate classrooms, raise your hand when you want to intervene, relive your online training experience as if you were in person.

We also welcome hybrid learning where you may come into the classroom some days and study remotely others. This flexibility helps to ensure your learning continues, regardless of what your schedule may throw at you!

I am a Data Analyst or Data Scientist and I would like to evolve even more in Data

As a data professional, you know very well that the needs of companies are evolving towards the management of ever larger infrastructures: both in terms of sources and volumes. The Lead training course therefore enables you to master the technologies for maintaining Data pipelines and for putting models into production.

Block n°1 - Cybersecurity project management

Analyze the cybersecurity needs of the organization, taking into account all the active measures within the organization, the various stakeholders and the predefined specifications, using the most appropriate audit methodology in order to develop an audit plan adapted to the organization and following a defined data security policy
Include the legal, regulatory and contractual context (RGPD, ISO...) in force in the environment and the sector of activity in the audit report via the use of appropriate tools in order to ensure that the whole organization remains compliant.
Evaluate the identified gaps and the tools to be put in place thanks to an updated and sharp knowledge of all technologies in order to solve the gaps and thus meet the targeted cybersecurity needs of the organization.
Develop prioritized recommendations accessible to all audiences to address the risks assessed in the audit plan, to allow the principals to anticipate the technical, time and budgetary requirements for upgrading the organization.
Manage a project to secure an organization's IS by developing appropriate indicators and dashboards to monitor and evaluate the action and the operational implementation of its results, all in compliance with the standards in force.
Lead a cybersecurity project, from the definition of the audit framework to the implementation of remediation solutions, in order to bring it to a successful conclusion, and to be the main referent having all the information on the project at all times, and to accompany all the services of the organization in all the activities related to it
Evaluation: Professional situation "Elaboration of a cybersecurity audit plan"
Assessment topic: Creation and implementation of a cybersecurity audit plan on a real or fictitious infrastructure according to a given standard, presented in front of an assessor (business and technical expert) during a remote or classroom presentation. The assessor will ask questions to the candidate in order to verify his/her level of mastery of a cybersecurity audit.

Deliverable: A detailed and publicly accessible audit plan in Word or PowerPoint format (or equivalent software) including a snapshot of the organization's infrastructure, an audit methodology including the steps in the plan, and an estimate of the time required to complete the project.

You manage (or are about to manage) a Data team

Your goal is to build an effective data team and achieve your governance objectives. Leading a successful data team is not only about technical knowledge, but also about management. That's what you'll discover in this program.

What are the pre-requisites for this course?

To maximize your learning experience, we ask that learners have some technical knowledge before registering for the bootcamp. Otherwise, it will be difficult for you to grasp all the issues. If you have no technical knowledge, we recommend that you take our Data Essentials bootcamp. Otherwise, we will assess your technical knowledge before you register with a 15-minute test. Contact our admissions team to learn more about this test.

What if I miss a class? JULIE to the rescue!

If you miss a course, don't panic! All your course content is available on your JULIE platform, including your Data Essentials, Fullstack, Lead or Cybersecurity Essentials courses. Theory, exercises, projects, you will find it all on JULIE and much more!

JULIE is also and above all a code environment integrated into the platform: you will be able to code without worrying about your computer's computing capacity. This is the real innovation of this turnkey platform! You will be able to edit and re-edit your code! Do you want to have a "guest" access to JULIE before you register? It's here.

Finally, on the private video playlist of your class, you will have all your live lessons in video format! You can review an explanation, redo an exercise you had trouble with, or go back over your lessons to prepare for the next day's class. There are many uses for this playlist.

I have a professional activity, is it compulsory to attend the training on a full-time basis?

All our training programmes can be taken part-time or full-time. So whether you are working or not, our programmes are adapted to your schedule. To find out the exact timetable, please contact the admissions team, who will be able to direct you to the most suitable programme.

Are 105 hours of training sufficient to master Data Engineering skills?

In addition to the Jedha Data Fullstack training, the objective of this Lead training is to bring you to an expert level in data, both in Data Engineering and Data Science. In this training you will learn how to build solid data infrastructures, adapted to your environment and capable of supporting a large volume of data. The idea is not only to create this infrastructure, but also to maintain it in line with the increase in the volume of data you will have.

How can I finance the Data Essentials course?

There are a number of funding options available for Data Essentials training, including

Self-financing: you can finance the training from your own funds, in several instalments without charge.
CPF: Our Data Visualisation course is eligible for the CPF also teaches you the basics of Python, database management and Machine Learning. With this CPF eligibility, you can finance your training at a lower cost
Pôle Emploi: our Data training courses are referenced by Pôle Emploi, notably in their Quality catalogue.
Customised funding: you may be eligible for special funding that benefits you, ask our admissions team any questions you may have.

I would like to become more efficient in my current job with technical skills

Today, the data that surrounds us is a real gold mine and knowing how to manage and exploit it using simple methods can really make a huge difference in efficiency whatever your role. Data is everywhere and useful for almost all careers.

I have some basic knowledge and would like to get more technical assignments in my current position.

If you think you have the equivalent of the Essentials course in technical skills, you can join the Full Stack course through our coding challenge which will assess your abilities. From non-technical jobs in marketing, controlling, finance and customer support to data analysts and data scientists, many of our alumni have made the transition to a new career in just 12 weeks of training (or 14 weeks including Essentials).

What is the typical profile or background of your students?

As you will have understood from the various objectives of our students, we have no typical profile! Whether you come from a business, artistic, agricultural, sports, journalistic, trades, legal or consulting background - it is precisely the richness of our students backgrounds that makes our community and your future network so strong!

I have no technical background, will I be able to follow this course?

One of the main objectives of this training: the democratisation of Tech and its skills! No technical pre-requisites are required to access this training. You simply need to have an interest in technology and the motivation to follow our bootcamps! You can make an appointment with the admissions team to discuss your training.

The professions: what is a Pentester's job?

The Pentester's job ? A professional who ensures the security of computer networks by means of penetration tests which consist of finding security flaws in a system and carrying out controlled attacks. Because of his missions, the Pentester must master the techniques of protection, but also of attacking the infrastructure. Thus, in the Cybersecurity department of his company, he can join the Blue Team (the one in charge of protecting the infrastructure) or the Red Team (dealing with the attack).

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I don't have a Tech background, but I want to evolve in the Data Engineering world.

If you do not have any previous skills in Data, but are interested in the more specific field of infrastructure management, there is nothing to stop you from taking the Lead training! Our main selection criterion: your motivation. However, we advise you to follow the Fullstack training beforehand or to train yourself on data management and modelling subjects to follow this training with peace of mind.

Your organization needs a vision on how to become data-driven

Transiting to a Data-driven organization requires time, dedication and methodology. We will give you all the best practices to follow depending on the maturity of your organization. At the end of your bootcamp, you will have a clear vision of what it takes to run a 100% data-driven company.

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I have ZERO technical background, can I still pass this program?

If you are starting from scratch in the data field, we highly recommend our Data Essentials Bootcamp which will teach you the basics. In any case, we will assess your level before you register for this bootcamp. In particular, we will test your level in Statistics, Python and SQL. Don't hesitate to come and discuss with us if you want to have a better idea of your level!

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What kind of Data project can be achieved at the end of this training?

As you will soon see, the applications of Data are countless and cover all types of subjects. Whether you have a personal or professional interest in a topic, now is the time to mix it with Data in this first project! Some examples of projects? Real estate price prediction, automated customer segmentation, churn rate prediction for a mobile operator, or even the prediction of legendary pokemons or the prediction of airline flight delays.

I would like to be assigned more technical tasks in my current position

Career development is very much one of the objectives of our alumni community: not solely just to obtain a technical position, but rather to evolve towards more technical tasks. This is regardless of the sector, activity or the position you hold in your organisation.

And what about the Cryptologist in all this?

Passwords hold no secrets for him. The cryptologist's job ensures the security of sensitive digital data such as passwords, bank card numbers or account identifiers. He develops coding methods based on complex algorithms. As a result, it is a highly technical job, since it involves not only cybersecurity, but also development and data science. It is a job that you will get closer to following the Fullstack Cybersecurity training, but which will require additional training.

I am currently working. How can I schedule my Bootcamp to fit around my work schedule?

This is a very important and legitimate question, especially if you want to follow a part-time course!

These part-time courses have been designed to give you the skills you need, while adapting to your work pace. In what way?

The training is not every day: time to enjoy your personal activities, to take the time to process the newly seen concepts.
The content is prioritisedso that you see the most complex concepts on more immersive training days (for example, on Saturdays from 10am to 4pm for your Fullstack training)
The teaching team remains available (as does the full-time format after all!) with the idea of accompanying you as best as possible through your various modules.

Our mission is to make Tech accessible and we understand that working and studying at the same time is the reality for many people. We make this as easy as possible so you can transfer you new skills into the professional environment in the real time.

Two of the main technologies taught: Docker and Kubernetes. What is the difference?

The debate about the difference between Docker and Kubernetes is very recurrent among people who are taking their first steps in the development world. The best way to explain their points of difference is to show how they complement each other. Indeed, Kubernetes is a complement to Docker.

A Docker training course will enable you to manage the container lifecycle, while the skills of a Kubernetes training are designed to orchestrate and manage container clusters. Using both technologies makes it easier to build, deploy and scale containerised applications.

What career opportunities will be available to me at the end of this course?

The professional objectives of our students after completing their Full Stack training are diverse: a majority wish to obtain a position in Data, as a Data Scientist or Data Analyst. Other entrepreneurial students wish to implement a Machine Learning or Deep Learning algorithm in their Tech. Other students are motivated by intellectual curiosity and wish to use these new skills in their current job in order to progress professionally.

How much work do I have to do during this course?

We never hide it, this training is dense and intense! Many technologies are taught. It all depends on the level you start from when you enter the course (if you have done the Fullstack programme before or not). Approximately 10 hours of additional work would be required, between exercises, practical cases, and Data Engineering projects to be carried out.

I will be absent one day, will I be able to make up the lessons?

We want to make sure you don't miss anything! You will be able to catch up on the lessons you have missed on JULIE! You will find our best courses in written and video format and unlimited access to them, to ensure that you can follow the courses.

I would like to become a freelancer and work remotely/flexibly

The flexibility that freelancing allows is highly appealing to many in this modern world. Now that remote working is so common in the tech industry, there are many positions where all you need is an internet connection and a computer and never need to visit an office.

Whether as Data Analyst, Data Scientist, Data Engineer, many of our students have become freelancers, alternating between various projects for all types of clients. Our alumni of course remain in the community! We regularly see them return to Jedha as freelancers, Teacher Assistants, or some even as Teachers.

Block n°3 - IS security audit

Collect public information (OSINT) on a target organization from various sources, taking into account all users of the organization's IS in order to detect human vulnerabilities in the IS
Scanning information systems with vulnerability detection tools (NMAP, NESSUS or KALI) to detect technical vulnerabilities in the IS
Perform intrusion tests by applying the most efficient methods on the different vulnerabilities detected in order to evaluate the risks incurred by the organization and to propose remediation options
Conduct social engineering intrusion tests to assess the organization's human vulnerabilities and provide appropriate and inclusive recommendations.
Document the causes of vulnerability and damage by producing an accessible intrusion report to inform business departments of the threats and risks faced by the organization.
Propose prioritized and adapted remediations to close IS security gaps in order to perpetuate the organization's security system

Evaluation : Professional situation "Intrusion test"
Assessment topic: Production of a report on a complete penetration test on a real or semi-real infrastructure (technological laboratory) with the aim of detecting flaws and proposing remedies, including a remote or face-to-face presentation to an assessor (business and technical expert). The assessor will ask questions to the candidate in order to verify his/her level of mastery of an intrusion test and the associated remediations.

Deliverable: An intrusion report including documentation of the infrastructure vulnerabilities and a suggested remediation for each vulnerability.

You want your data team to be more efficient

Managing a Data team is not the same as managing a team of developers. Delivering a Data product requires more flexibility because Data Analytics necessarily involves a more or less long research part. This is why you will learn to adapt agile methods to Data needs and ensure that you get results at the end of your project.

I saw that you also offer a Lead Data Science & Engineering Bootcamp, which one should I choose?

It totally depends on what you want to do with your career. Both programs offer many opportunities. The main difference is whether you want to stay close to Business or Tech. If you really like the technical part and you are passionate about Data, then the Lead Data Science & Engineering program will fit you like a glove. If you prefer to use data in your business but your main driver is still the business itself, then the Lead Data Analysis bootcamp will be perfect for you. Either way, it's a great conversation to have with our team of coaches, so feel free to take a 30 minute call with them. It's free!

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I want to move into a fully technical position, such as Data Analyst, or Business Analyst

The Data Essentials course is a great way to get started in data without committing to a longer course. It allows you to see what aspect of data you like best, and whether you want to continue in the industry.

Is it possible to apply for Data Engineer positions after the Lead training?

The pre-requisites of the Lead course ensure that you have the necessary skills to successfully complete the Lead course. With the newly acquired skills in this intensive training, you will be able to apply for jobs as a Data Engineer or Machine Learning Engineer.

Is the Essentials course state-approved?

At the end of your Essentials in Data course, you will obtain your partial certification as a "Data Science Designer-Developer". This diploma is well recognised by the State and will give you an additional argument to put forward to recruiters.

Can I come and work on campus outside of my course?

Of course, your campuses remain open for you! These places are not just classrooms, but a place where you can meet up with your fellow students, to see each other, work together on new projects, or simply to say hello to the Jedha team.

Opening hours of our campuses ?

Mondays, Tuesdays and Thursdays: 9.45am - 9pm
Wednesdays & Fridays: 9.45am - 7pm
Saturdays: 9.45am - 4pm

We look forward to seeing you on campus or online for your training!

What are the real differences between a Data Scientist and Data Analyst position?

This is a question that comes up very frequently and it simply lies in the fact that these two jobs are now really distinct. The difference between the Data Analyst and Data Scientist comes from the fact that they do not intervene in the same stages of the Data project. The Data Analyst, is mainly involved in data exploration: he or she is responsible for creating relevant data visualisations to guide business decisions and also for building dashboards for the business. The Data Scientist, on the other hand, is involved in the exploitation of raw data in order to create Machine Learning models. He or she will first have to clean up this data and build models that can predict phenomena.

The Data Analyst will need to have a sharp business sense, while the Data Scientist will be working on a more technical part. In this sense, the two professions are very complementary.

I am a PhD holder, and would like to learn a more technical background...

We regularly welcome PhD holders through our courses who wish to improve their practical technical skills. Past students tell us that the practical methodology of Jedha is very complementary to the academic excellence of a thesis. We have seen a number of PhD holders in biology take our Data courses, or applied mathematics.

To whom do all these professionals report?

Cryptologist, Pentester, Cybersecurity analyst, IT specialist, all report to the Head of Information Systems Security. This CISO's job The role of the CISO is to establish a global protection strategy for all the company's digital infrastructures. To do this, the CISO must have a good knowledge of the company's cyber environment, but also have a thorough understanding of the company's core business and cyber issues.

Block 4 - Design of cybersecurity defense measures

Correct system or network vulnerabilities by using the appropriate defense tools (proxy, vpn, antivirus) in order to consolidate the organization's security system and ensure its sustainability.
Correct the source code of an application using the most appropriate tools and methods in order to close web vulnerabilities, thus ensuring the sustainability of the IS and preserving it from external attacks.
Monitor the network and machine activity of an organization by implementing SIEM or EDR tools in order to improve the detection time of a breach and to reinforce the immunity of the organization to external attacks
Control the implementation of remediation procedures (organizational, technical and software) using monitoring tools adapted to all stakeholders in order to evaluate their effectiveness on the security of the IS
Define the appropriate security tools, both technical and software, in order to set up an efficient watch to maintain the integrity of the organization's IS.

Evaluation: Professional situation "Audit report explaining the reproducibility of the CVE"
Evaluation topic: Study, reproducibility of a CVE (Common Vulnerabilities and Exposures) selected from a database including the reproduction of the latter and a remediation including a remote or face-to-face presentation to an evaluator (technical expert). The evaluator will ask the candidate questions about the CVE study and the proposed remediation.

Deliverable: A CVE report explaining the reproducibility of the CVE on the given operating system and documentation of the remediation.

Do recruiters recognise Jedha's Data Essentials training?

Of course! The aim of this course is to give you a hands-on experience in the world of data. A 40-hour training course is obviously not equivalent to a 420-hour training course such as the Jedha Data Fullstack programme. Nevertheless, in this sector, recruiters recognise the data projects you carry out at least as much as the diplomas you have. Python, SQL and Machine Learning are highly sought after skills at all levels, from senior to junior, for less technical positions such as Business Analyst, Product Manager or Data Project Manager. Some of our Essentials alumni have also been able to obtain Data Analyst positions at the end of their training. Contact the admissions team by applying or requesting the syllabus to find out more about our alumni recruitments.

How do you justify these choices of tools and language? AWS? Scala and not Python?

The tools taught in the Lead course are those at the cutting edge of technology. These choices of the Jedha teaching team were motivated by the following reasons:

Why AWS? Amazon's Cloud Services are the leaders in their market! Between the wide range of tools offered and the stability of their infrastructure, AWS allows our students to learn about the technologies related to Cloud Computing

Why Spark in Scala and not Spark in Python? Spark is THE framework that will allow you to manage very large volumes of data (Big Data). As this framework was originally coded in Scala, this language makes it possible to simplify the writing of complex programs and makes them more readable.

What career support do you provide to students?

In order to guarantee the best possible professional integration for our students, we guarantee a close career follow-up in several ways:

A whole week of the Fullstack training is dedicated to career coaching: CV review, Linkedin, coaching on technical interviews specific to Data, shaping your project portfolio.
The presence of a dedicated career coach from the Jedha team to accompany you in your recruitment process and interviews, both during and after your training!
Mentoring Sessions! Special moments twice a month with the Jedha teaching team to ask all your questions about your technical or career issues.

It is thanks to all these elements that our students have an insertion rate of 80% within 3 months after the end of the Fullstack training!

What do I leave with after the training?

The bootcamp is designed for people who want to lead Data teams. At the end of the program, you will have a clear vision of the Data challenges of any organization and you will know how to address them from a strategic point of view. If your goal is to become a Data Manager or a Data Consultant, this program is a real differentiator for you.

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What are the objectives of the training?

At the end of the Lead course, the learner will be able to :

Create and manage a robust data architecture that can accommodate ever-increasing amounts of data (Big Data) in the cloud
Know how to use the most popular cloud services (AWS) to store, process and manipulate data (ETL process)
Knowing how to standardise data environments so that they can be hosted on different operating systems (Linux, Windows, Mac)
In short, having advanced data engineering skills

Is the training provided at a distance as well as face-to-face?

Yes! Since October 2020, all our training courses are taught face-to-face or at a distance. How is a session run? The teacher is present in person, and also runs a Zoom where all the students who wish to follow their training at a distance are present. We keep a maximum of flexibility in the animation of our training courses, each student is free to come in person - in the respect of the barrier gestures - or remotely, or to alternate between these 2 modes of learning.

[I already have the skills acquired in Essentials and wish to obtain a certificate recognising these skills

If you think you have the skills acquired in Essentials training, you can apply for our VAE. This validation of prior learning will allow you to obtain the partial certification of Jedha (block n°6: Data Management Project Management), recognised by the State. All the information on the VAE is described on this page. You will find there the admissibility booklet, as well as the necessary documents to constitute an application file for the VAE of Jedha. You will then have to validate this booklet. You can make an appointment with our admissions team to ask all your questions.

What level of expertise is required during the Full Stack training?

The objective of Jedha's Data Fullstack training is to bring you to a professional level in the data industry. You will master the entire Data pipeline, not only the Data Science aspects: from data collection, to the creation of state of the art Machine Learning & Deep Learning algorithms, to the production of these algorithms on a web application you will have created, you will master all the tools related to these technologies! To know everything about these tools, download the Jedha syllabus!

What are the objectives of this training?

At the end of the Full Stack training, the learner will be able to master the entire Data pipeline:

To master the Python programming language from several angles and to use it for different purposes.
Knowing how to extract data from the Web (Web Scraping), or from other sources to build your own database
Use data visualisation tools to explore this dataset, derive relevant initial analyses and create coherent hypotheses
Create complex Machine Learning & Deep Learning models to make predictions of phenomena or classify elements on input data such as numerical values, but also images, text, or sound.
Create an easy-to-use web application for any user
Implement the AI model previously built on this web application in order to provide a user with the results of its model
Knowing how to explain to a novice audience the positive or negative results of its model, the ins and outs of a group-driven data project.

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How long before the start of the session can I register?

The time taken to access the training varies according to the type of funding used by the Learner. They are as follows:

Self-financing: the Learner can register up to 24 hours before the start of the course
CPF: there must be a minimum of 11 working days between the Learner's registration and his/her entry into training
OPCO / OPCA: in the case of company funding, the Learner must be registered at least 30 days before the start of the course
Transition Pro: Transition Pro applications must be submitted at least 2 months before the start of the course

To find out more about these registration deadlines, you can make an appointment with the admissions team.

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Registration with the RS / RNCP in progress

The "Fundamentals of Data Science" and "Data Science Development Designer" certificates are currently being registered respectively in the specific repertoire and in the National Repertoire of Professional Certifications (RNCP). In the case of validation, the certified will benefit from a state-certified diploma (Bac + 4 in the case of the second one) and the applicants will be able to aspire to a financing of their training via their CPF account.

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