FAQ - All your questions about our Data training courses

Admissions

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.

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.

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).

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.

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.

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.

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 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.

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.

Financing

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.

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).

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.

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 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 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.

Pedagogy

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.

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.

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

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.

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.

Logistics

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.

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.

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.

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.

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.

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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