Data Analysis Fullstack

Data Analyst training - 420h

In 420 hours, learn to analyze the data produced by an organization, obtain a state-recognized certification and land your first job as a Data Analyst or Business Analyst.

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Build your future in data

Reach a professional level in Data Analysis

Leverage your business data

Compared to Data Science, Data Analysis is closer to Business. You will learn all the best practices to build analysis funnels, query data from the Data Warehouse, build dashboards and exploit low-code and no-code tools as well as Python programming to make informed business decisions.

Learn from the best

What distinguishes a good data analyst from a bad one is their ability to understand the business they work in. We have designed this program to be business oriented. You will learn to use tools that will help you solve these problems. This program has been developed by professionals whose pedagogical expertise will provide you with excellent training.

Go deeper in your own way

Our courses are offered on a part-time or full-time basis, depending on what suits you best. You will also have the option to come and take it in person, remotely or in a hybrid format, depending on your personal constraints. All of your courses will remain accessible on our learning platform so that you can consolidate all of your skills.

Become a Data Analyst in 3 months

Choose an education with a future! In 2023, companies are looking for hybrid profiles, between Data and Business, able to make sense of their data in order to make strategic decisions. At the end of your Data Analysis Fullstack training at Jedha, you will be able to:

- Collect and store your data according to the rules of the art
- Analyze your data using Python and SQL
- Use Business Intelligence and Machine Learning tools

View the Syllabus

The program of our Data Analyst training

In this module, you will learn how to leverage data in all areas of your organization. We will define each KPI (Key Performance Indicator) you need to track, whether you are in marketing, sales, product, finance or ops, using frameworks like AARRR and metrics like bounce rates, conversion rates, CPC, CPM, etc... You'll learn how to build simple landing pages and drive traffic to them using paid platforms (Google Ads, Facebook Ads, LinkedIn Ads..) and you'll leverage the power of a CRM like Hubspot to centralize your data and build dashboards that you can analyze.
Python is the most commonprogramming language in Data Analysis. As you become more familiar with Data, you will need tolearn how to code. That's why we'll look at how to write efficient code, and how to use libraries like Pandas, Numpy and Plotly. We'll start by digging into your programming fundamentals and work our way up to using functions, reviewing statistics. You will finally be able to analyze tabular data and leverage the power of APIs.
Once you know how to write Python code, you'll be able to extract data and bring it into the company's internal infrastructure. The most common way to do this is to use ETL(Extract Transform Loads) tools, APIs and Data Warehouses. Therefore, you will learn how to useETL tools like Airbyte to bring data to Big Query and automate your processes using Zapier. Finally, you will learn how to extract data from a website using data scraping techniques in Python, and with no-code tools, clean it up and store it in your data warehouse.
As a Data Analyst, you will spend a lot of time querying data from various databases and sources. It is therefore essential that you master SQL: we will deepen your level of SQL programming. You will review joins, functions, and understand table schemas in order to be able to extract all types of data and visualize them with the BI tools seen in the next module. You will also learn how to transform your data directly into your Data Warehouse thanks to DBT, a new tool that is more and more requested in companies.
Now that you know how to collect, extract and transform your data, you can visualize it and start making decisions. You'll learn how to use PowerBI and Tableau, the two most popular Business Intelligence (BI) tools on the market. Then, we'll teach you best practices for creating charts and presentations. Once you have mastered descriptive analysis, you will learn how to perform predictive analysis usingno-code Machine Learning tools like Dataiku and Previsio.io.
Business Analysis
Module 1
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Python Programming
Module 2
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ETL & Data Warehousing
Module 3
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Advanced SQL
Module 4
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BI & Predictive Analysis
Module 5
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Download the Complete Syllabus

Our next training sessions

Take your training remotely or at one of our 7 campuses in Paris, Lyon, Lille, Marseille, Bordeaux, Toulouse or Nantes.

Paris
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Oops! No bootcamp is planned in Paris soon, contact us for more information.
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Full Time
19
Jun
13
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Monday to Friday 10am - 6pm
Monday to Friday 10am - 6pm
10
available places
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Full Time
3
Apr
3
Jul
Monday to Friday 10am - 6pm
Monday to Friday 10am - 6pm
4
available places
Last place available !
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Part-time
3
Apr
9
Oct
Mondays & Saturdays | 10am - 6pm
Mondays & Saturdays | 10am - 6pm
5
available places
Last place available !
Apply
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Full Time
19
Jun
13
Sep
Monday to Friday 10am - 6pm
Monday to Friday 10am - 6pm
10
available places
Last place available !
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Full Time
3
Apr
3
Jul
Monday to Friday 10am - 6pm
Monday to Friday 10am - 6pm
4
available places
Last place available !
Apply
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Part-time
3
Apr
9
Oct
Mondays & Saturdays | 10am - 6pm
Mondays & Saturdays | 10am - 6pm
5
available places
Last place available !
Apply
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Full Time
19
Jun
13
Sep
Monday to Friday 10am - 6pm
Monday to Friday 10am - 6pm
10
available places
Last place available !
Apply
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🇫🇷
Full Time
3
Apr
3
Jul
Monday to Friday 10am - 6pm
Monday to Friday 10am - 6pm
4
available places
Last place available !
Apply
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🇫🇷
Part-time
3
Apr
9
Oct
Mondays & Saturdays | 10am - 6pm
Mondays & Saturdays | 10am - 6pm
5
available places
Last place available !
Apply
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🇫🇷
Full Time
19
Jun
13
Sep
Monday to Friday 10am - 6pm
Monday to Friday 10am - 6pm
10
available places
Last place available !
Apply

How to apply for our Data Analysis training?

Nothing could be easier! Make an appointment with our team to refine your professional project. Depending on the course you choose and the necessary financing, your registration will take between 1 week and 1 month.
Professor Jedha in his classroom

Discuss your career plans with our admissions team.
We will recommend the most suitable course and format.

Take a quick MCQ to assess your level in programming and mathematics.

Make your project a reality with the help of our team.

Searching for financing, putting together the file: we accompany you from A to Z.

Download the Full Syllabus

"There is a growing demand for cross-discipline skills".

It is no longer just Data Scientists who know how to model, or Data Analysts who know how to explore data that recruiters are looking for. They are looking for professionals with cross-discipline skills. Data Scientists who know how to put data into production and Data Analysts who know how to collect and exploit data in detail.

New jobs are emerging, such as Machine Learning Engineer, or MLOps. These are jobs that have emerged only recently and that reflect the changing needs of companies. This is why in the Full Stack training, we do not train for a specific job, but rather for a field. Jobs in tech are always changing but at Jedha we teach you the principles that govern the domain itself to well equip you for the future.

The Full Stack course, like the rest of our programmes, undergoes constant revision to ensure that it is at the cutting edge of relevance at all times.

Chat with our team

The training adapted to your profile

We've been fortunate to assist many students in their professional retraining, major career evolution, transitions to high quality freelance work or even founding start-ups! Our multi-level course structure and friendly team makes adaptable training highly popular.

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

The business part is what drives you in your job.

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

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

What Our Students Say

"Three months of training to change your life and transform your career" - that's the bet our past students took with Jedha, and it worked! We love hearing the success stories from our graduates. It helps to keep us inspired to be continually improving and sharpening our training experience. We love changing lives!

Moving from a very academic world to a very practical world has opened up a lot of opportunities for me.

Anastasia Barkova - From PhD. Biologist to Data Scientist @ Whitelab Genomics

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Before I started my Data training, I couldn't program! It was great to learn how to manage a project from start to finish.

Corentin Corcelette - From Economist to Data Consultant Engineer @ Talan

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My background with very little to do with Tech intrigued the recruiters: I got my job as a Data Scientist the day of my Demoday!

Hayet Bezzeghoud -
From Business Developer to Data Scientist @ Dataiku

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I was able to do my final project on music generation, these projects taught us to apply all the technologies we were learning.

Vincent Gargasson- From Sales Manager to Data Scientist @ Aqsone, (ex-Airbnb)

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The opportunities of our Data Analyst training

Our goal at Jedha is to teach you enough skills to become independent in a given field. After our training, you will have gained experience in marketing, sales, product, finance and ops data analysis. All you have to do is choose your path!

You will have all the tools you need to get a job as a generalist data analyst or as a data analyst specialized in different areas of the company such as marketing, sales, etc. You will also be able to apply for positions in DataManagement, Data Product Owner or even Growth Hacker.

For entrepreneurs, you will be able to launch your own freelance business, create your own start-up or even implement the tools you saw during your bootcamp to improve your current business processes.

Apply for the Course

Data Analyst

Data Analysts possess a balanced mix of technical and business skills to analyze and optimize an organization's processes. They can be specialized in a given domain (Marketing Data Analyst, Product Data Analyst) or operate in a separate department as a support to the core functions of a company.

Data Manager

These are the people who are responsible for managing the data infrastructure at the global level of an organization. They are responsible for data quality and ensuring that the company complies with legal policies such as GDPR.

Growth Hacker

These profiles are really close to marketing. They are usually very data-driven, as they will leverage paid traffic, social networks and other online channels to acquire potential leads for the company. A perfect job after the training.

Data Product Manager

They are responsible for building data-driven products. These profiles will manage teams of Software Engineers, Data Scientists, Designers and discuss with Management to deliver the best possible product to their organization. When the product is Data-centric, you need to have a fairly high level of domain knowledge to be effective in the job.

So Much More Than Just a Course: a Life Transformation

In the Tech world, everyone can have their own aspirations, their own ideals of work, companies and life goals. It is exactly these objectives that we try to fulfil together, so that your training is not simply a return to school, but really a major next step in your professional career.

We are very proud to see each month people leave our training courses with a professional project that is impactful, that suits them and in which they feel fulfilment.

We dedicate a large part of our pedagogy to support: whether it is career or purely motivational, our career coaches, staff and teachers, want to provide the best Data training possible.

By joining Jedha you also become part of a community of over 1500 people who are passionate about tech and bettering themselves. We'd love you to join us!

Learn More About Our Training Courses

Data Scientist Training CPF

Certification of the Data Fullstack training
RNCP Level 6 - Bac+3/4

Recognised for their academic and technical excellence, Jedha's Data courses are registered with the Répertoire National des Compétences Professionnels (RNCP level 6).

The Data Fullstack training in particular allows you to obtain a state-recognised diploma, at BAC +3/4 level. This registration with the RNCP also allows you to use your CPF credits to finance the training in its entirety or in part.

At the end of your Data Fullstack training, you will take a certification test requiring you to justify the skills learned during your programme: data collection, data visualisation, modelling, application deployment. You will also be asked to present your final project, which took no less than 2 weeks to complete.

Once you have passed this test, you will obtain the official Jedha diploma, recognised by the State, a full certification as "Data Science Designer and Developer".

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Training Costs

  • Payment in up to 10 monthly installments
  • Access to courses & events for life
  • Possibility of making up missed classes
  • Access to our online platform
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Training fee Schedule
🇫🇷 France
Essentials
1 495 €
Fullstack
Most popular
6 995 €
Lead
2 995 €
Essentials
£1,995
Most popular
Fullstack
Most popular
£6,595

How does the Data Analyst training work?

10:00
Course Review
Let's start the day by reviewing the previous day's concepts to make sure everything is in place before we tackle new content.
10:15
Course Content
Let's start the concept of the day with our teaching team who will take you step by step through the content. You will be able to ask questions and progress at your own pace. 
12:00
Practice
Apply the concepts you have just explored to simple exercises. This will allow you to see the direct application cases and to grasp the technical mechanisms.
13:30
Challenges
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 explored by companies with very interesting stories such as Doctolib, Payfit or Spendesk.
10:00
12:30
18:30
21:00
Sunday
D
Tuesday
L
Monday
L
Wednesday
M
Thursday
J
Friday
V
Saturday
S
Tutorial
Revision of the theoretical courses seen the previous week and introduction of the new concepts
Tutorial
Deepening of the courses and practice on exercises and projects
At Home
Recommended review of the lessons seen during the week and further study of the exercises
😴
🏫 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.

Opportunities Are Everywhere

After your Data Full Stack training, launch off into the tech world and get hired in Data. Our past graduates have been able to obtain a number of different positions, in companies of all kinds of sizes and sectors.

Jedha student
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portrait antoine guerrini
portrait augustin lauvencourt
Jedha student
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Learn More About Our Training Courses

Data Analysis taught by professionals

They are the Jedha Masters! The authors and lecturers of our trainings are professional Data Analysts with a real technical expertise. Thanks to their experience acquired in the field, they will be able to pass on practical knowledge that can be directly used in companies.

David Raux
David Raux
Data Analyst
 @
David is a born popularizer, and a great example of a conversion! The specialist of our Essentials program, able to explain advanced technical concepts without losing the quality of the information.
[...]
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David Raux
Because David does not have an initial training in Data! He first obtained 2 masters II in Human Resources, before training in Data with the CNAM applied mathematics course. At the same time, he teaches management, human resources management and then starts teaching more technical skills (programming, database management) in different organizations.
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Guillaume Manderscheid
Guillaume Manderscheid
Data Scientist / Data Engineer Freelance
 @
Beyond being a fine popularizer, Guillaume is marked by his passion for Tech. Having first worked for important structures in the energy sector (notably at ENGIE), he flew to San Francisco where he worked as a Data Scientist / Data Engineer.
[...]
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Guillaume Manderscheid
In San Francisco, he worked not only on modelling, but also on deployment. It was at this point that he made a shift to Data Engineering by joining Strateos as a Data Engineer. When he came back to Paris, he rediscovered his passion for teaching and delivered courses on each of our 3 Data programs.
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Ines Ben Amor
Ines Ben Amor
Data Scientist
 @
Veamly
Inès knows her way around the language very well! With an engineering background, she succeeds perfectly in illustrating technical statements simply without losing the quality of the information.
[...]
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Ines Ben Amor
After completing her engineering studies at the Ecole des Mines de Saint-Étienne, with a double degree at EM Lyon, Inès began her career at Veamly, a company she still works for. There, she created several state-of-the-art Deep Learning algorithms to classify messages, as well as a search engine!
Read Less
Meet Your Jedha Masters

A Complete Portfolio of 11 Data Projects

For each of the Data assignments you will have to complete, it will be a mini-project to carry out. This will help you build a solid portfolio to justify your skills to your future recruiters. After 10 technical modules, you will have two full weeks with your teacher and TA to build your own final project, the one that will be the flagship of your portfolio and that will allow you to apply everything you have learned in the course, all on a theme of your choice.

One More Episode...
Paris Campus
Produced by Elena, Charles, Clément, Maxime and Zahira, this is a project that was put into production by the company that proposed it to our students! This company, a streaming platform, asked our students to design a system for recommending viewing content. After having made initial visualisations of the time spent viewing content and of user engagement rates, our students adopted the "user engagement" approach.
They chose this in order to recommend the same content to users with common characteristics (preference & consumption habits in particular). With this, it is a very effective project that this group could deliver at the end of 12 weeks of training.
My Music's Mood
Paris Campus
We all know the impact that music can have on our moods. It is precisely on this that Rhita & Stéphane have worked, with the aim of automatically detecting the 'mood', the emotion of a piece of music in order to make recommendations to users of music streaming platforms who wish to feel such a certain emotion when listening to it.
After the various stages of data collection and pre-processing, Stéphane Rhita was able to work with a 2D image of the audio signal frequencies, a Spectrogram. By using the VGG16 neural network, they were able to achieve incredible results in detecting the "mood" of the music!
Deep Chef
Paris Campus
Antoine, Baptiste, Léa, Christopher, and Quentin were able to code an impressive application allowing the recognition of fruits and vegetables. Why? The aim is to suggest personalised recipes based on what you have left in the fridge.
To do this, with training on 10,000 images of the Deep Learning model Yolo v.5, our students were able to detect the fruits and vegetables present in their own photos.
Then, after having built their model, our group was able to design their application on which they deployed this same model. This way, anyone can perfectly use Deep Chef for their daily needs.
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Your questions about the Data Analyst training

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

Can I attend the online bootcamp?

What are the prerequisites for this program?

I have NO technical background, can I still pass this program?

Can I aspire to a Data Analyst job after bootcamp?

Discuss with the admissions team

Is This Data Bootcamp for Me?

You want to launch your career in Tech but you don't know where to start? Contact our friendly admissions team, they'd love to help!

I have some basics in Data Analysis but I would like to go further, or I have taken the Data Essentials

I would like to become autonomous
on professional and complex issues

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

Professor Jedha in his classroom