Data Scientist Training
Fullstack

420 hours of training to become a Data Analyst or Data Scientist. Be autonomous in all aspects of a Data project and launch your career.

Certificate "Data Science Developer Designer"

Training registered with the RNCP: possibility of financing via CPF.

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Why do this Data Scientist course?

Adapt the program to your own pace

Our training is delivered in part-time and full-time so that you can follow it regardless of your schedule.

Start your career in Data

Whether you want to build your own Data startup or become a Data Analyst or Data Scientist, the Fullstack program will teach you the skills you need to succeed.

Mastering the entire data pipeline

From the extraction and collection of data to the production of your models and the deployment of your Web applications, you will have completed no less than 11 projects during your program.

Fullstack training curriculum

We start with Python and Data Analysis so that you can progress serenely in your learning afterwards. You will learn how to use Data Science libraries like Pandas and Numpy for Data Analysis or Matplotlib and Plotly for Data Visualization. We will also see the fundamental concepts of statistics and probabilities behind so that you can conduct advanced analysis. Finally, you will learn how to collaborate and manage Data projects thanks to Git and GitHub.
Data management is a crucial element in a Data project. That's why we will go directly to the Data Collection and Management module. You will learn how to collect data, especially web data, with the Web Scraping techniques and the Scrapy framework. You will then see how to store data in different types of databases (SQL or NoSQL) and how to build your first ETL processes . We will finish the module by learning how to manage Big Data with Spark, the most famous framework to manage big data. To top it off, you will learn how to do all this on AWS, the most widely used cloud platform in the enterprise.
Let's get into the data exploitation phase. You will start with Supervised Machine Learning where you will learn how to build and evaluate complex statistical models. We will then move on toUnsupervised Learning, for segmentations analysis, and you will finish with the state of the art in Artificial Intelligence: Deep Learning with the Tensorflow 2.0 framework. At the end of this module, you will know how to manage all types of structured or unstructured data.
In this module, you will be able to build extremely robust models, deploy them and use them to create fully AI-basedapplications. We will use Flask to build an API, Dash to design your dashboards, MLflow coupled with AWS SageMaker to deploy your Machine Learning model and Docker to standardize your environment. This module will teach you a more Data Engineer part needed to manage a Data project.
Your program is coming to an end, join the Jedha CV library and its community of Alumni! Time to work on your Personal Branding. Accompanied by our Talent Manager, you will learn the best practices of Linkedin visibility, to highlight your CV, your portfolio. Then, during 2 weeks, you will prepare your final project with a free theme or proposed by our partners. You will present it during your Demo Day to the community, and also to our recruiting partners! The most important project of your program!
Python & Data Analysis
Modules 1 & 2
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Data Collection & Management
Modules 3 & 4
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Machine Learning & Deep Learning
Modules 5 - 7
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Deploy your application
Module 8
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Career & Project Coaching
Modules 9 & 10
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Download the complete syllabus

Next sessions

Take your bootcamp part-time or full-time.
Keep the best training experience: in the framework of the health crisis, all our trainings are delivered remotely.

Full Time
6
Sep
30
Nov
Monday to Friday 10am - 6pm
Monday to Friday 10am - 6pm
6
available places
Only 2 places left!
Last place available !
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Full Time
6
Sep
7
Mar
Every Monday 6:30 pm - 9 pm & Saturday 10 am - 4 pm
Every Monday 6:30 pm - 9 pm & Saturday 10 am - 4 pm
6
available places
Only 2 places left!
Last place available !
Apply at
Full Time
4
Oct
11
Jan
Monday to Friday 10am - 6pm
Monday to Friday 10am - 6pm
7
available places
Only 2 places left!
Last place available !
Apply at
Full Time
20
Sep
14
Dec
Monday to Friday 10am - 4pm
Monday to Friday 10am - 4pm
4
available places
Only 2 places left!
Last place available !
Apply at
Full Time
10
Jan
1
Apr
Monday to Friday 10am - 6pm
Monday to Friday 10am - 6pm
6
available places
Only 2 places left!
Last place available !
Apply at
Full Time
6
Sep
30
Nov
Monday to Friday 10am - 6pm
Monday to Friday 10am - 6pm
6
available places
Only 2 places left!
Last place available !
Apply at
Full Time
6
Sep
7
Mar
Every Monday 6:30 pm - 9 pm & Saturday 10 am - 4 pm
Every Monday 6:30 pm - 9 pm & Saturday 10 am - 4 pm
6
available places
Only 2 places left!
Last place available !
Apply at
Full Time
4
Oct
11
Jan
Monday to Friday 10am - 6pm
Monday to Friday 10am - 6pm
7
available places
Only 2 places left!
Last place available !
Apply at
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Data training,
with many opportunities

Entrepreneurs, managers, employees, freelancers, the objective is to build professional opportunities for you.

Make an appointment
data scientist career
Data Scientist

It is a very cross-functional job, the Data Scientist takes part in all stages of the Data Science project, from data collection to analysis, including the storage of this data.

data engineer training with jedha bootcamp
Machine Learning Engineer

You'll be able to create complex Machine Learning models and then put them into production, making them available to your entire organization.

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Develop your AI project

You will have all the skills to develop your tech product. Notice to those who want to add AI in their tech-stack for their project

Where do our alumni work after the training

After our Essentials training, our alumni work as project managers, data analysts, business analysts or consultants in renowned companies. 

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The successes of our students

We are very proud of our student community and follow our alumni throughout their Data career to reach their professionnal goal.

Go to the blog
Project data
Footmatcher : Football player recommendation system
Project data
The applications of Data to finance
Project data
Applications of Data to music

A typical day of training

10:00
Course Review
We start the day by reviewing the previous day's concepts to make sure everything is in place before we start working on new content.
10:15
Course Content
Let's start the concept of the day with the teaching team who will take you step by step. You will be able to ask all your questions and progress at your own pace. 
12:00
Practice
Apply the concepts you have just seen to simple exercises. This will allow you to see the direct application cases and to grasp the technical mechanisms.
13:30
Projects
Once you have been able to practice the theoretical concepts on simple exercises, it's time for the Data challenges! You will work on more complex Data topics that will allow you to better understand what a Data project is. 
16:00
Office Hours
Two additional hours are allocated each day with the teaching assistants to review concepts or move forward on your project. This is a good opportunity to ask questions and review some of the theoretical concepts. 
18:00
Events
We offer immersive Data training and what better way to end your day than with a Data talk. Many topics are covered by companies that have very interesting cases such as Doctolib, Payfit or Spendesk.
10:00
4:30
6:30
9:00
Sunday
D
Tuesday
M
Monday
L
Wednesday
M
Thursday
J
Friday
V
Saturday
S
Presential
Revision of the theoretical courses seen the previous week and introduction of the new concepts
At home
Recommended review of the lessons seen during the week and further study of the exercises
Presential
New theoretical concepts are tackled in Data with practice on application cases
Presential
Revision of the theoretical courses seen the previous week and introduction of the new concepts
😴
🏫 Presential - Work in class with your teacher to see the theoretical concepts and work together on the exercises.
🏠 At home - It is advisable to work at home to deepen the lessons and go over the exercises to best prepare for the week.

Training costs

Payment up to 7 times without charge
Possibility of financing via the CPF
Possibility of catching up on courses
Access to our online platform JULIE
Access to our content for life
Career Coaching & Mentoring Sessions
Access to our events for life
See funding opportunities
Essentials  
1 295 €
Fullstack
5 595 €
Lead  
1 995 €
Essentials  
1 295 €
Fullstack
5 595 €
Apply at
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The most recognized data training

With an average score of 4.95/5, Jedha is ranked first in the French data training ranking. Beyond the score, this is a reflection of our desire to provide knowledge in line with the needs of students and companies.

It isa real pride to be able to accompany our students in therealization of their professional projects, to make them autonomous in Data and to see them bring value to the companies in which they work.

Their training has been able to open up new horizons,
whether it is to set up their startup in AI or to launch their career in Data.

jedha campus lyon
4.95/5
#1 France
Overall
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Curriculum
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Job Support
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Is this Data bootcamp for me?

I have Data Science skills
or I have just completed the Essentials training

I would like to become an expert
in the industry and get a job in Data

I make an appointment with the admissions team to find out everything!

Full stack jedha bootcamp