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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.
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.
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!
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 + PΓ΄le Emploi).
We invite you to look at the Campus pages or send us an email to find out about upcoming sessions on our various campuses.
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.
All our bootcamps can be taken 100% online, 100% on site or alternating the two, the choice is yours!
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.
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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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).
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.
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.
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!
You can indeed benefit from a loan granted by our partner: CrΓ©dit du Nord. We invite you to contact the admissions team to find out the terms and conditions of the loan.
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.
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.
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.
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.
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!
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.
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.
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!
All Jedha courses are delivered in Paris & Lyon, part-time and full-time. Here are the different durations of our courses.
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.
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).
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.
We offer training sessions on our 2 campuses: Paris & Lyon. Do not hesitate to contact our admissions team for the exact addresses.
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!
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.
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.
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.
We are also referenced on Kairos, the PΓ΄le 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 PΓ΄le Emploi, and we will be able to send you a quote. We can also advise you on the steps to take.
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.
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 β¬45,000 to β¬65,000 per year with an average of β¬50,000 per year according to Glassdoor. This applies to the Paris area. For a Data Analyst, you can expect a salary of β¬42,000 per year. The position of Data Engineer, is often paid around 48 000β¬ per year. All these salaries vary greatly depending on the sector of the company.
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.
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.
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.
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.
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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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 CrΓ©dit du Nord.
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.
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.
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.
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!
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.
To join the Jedha Data Lead course, you have 2 options:
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.
You have 2 options to qualify for the Full Stack training and meet the required prerequisites
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.
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.
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!
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.
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.
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.
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.
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.
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.
There are a number of funding options available for Data Essentials training, includingΒ
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.
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).
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!
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 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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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.
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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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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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.
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.
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.
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?
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.
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.
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.
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.
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.
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.Β
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.
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.
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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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.
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.
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.
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 ?
We look forward to seeing you on campus or online for your training!
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.
We regularly welcome PhD holders through our courses who wish to improve their practical technical skills. Past students tell us that theΒ 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.
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.
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.
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:
In order to guarantee the best possible professional integration for our students, we guarantee a close career follow-up in several ways:
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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At the end of the Lead course, the learner will be able to :
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.
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 nΒ°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.
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!
At the end of the Full Stack training, the learner will be able to master the entire Data pipeline:
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The time taken to access the training varies according to the type of funding used by the Learner. They are as follows:
To find out more about these registration deadlines, you can make an appointment with the admissions team.
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