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Data Analytics

Become the decoder of hidden trends and transform raw data into valuable insights to help the business make informed decisions.
  • +4000 Alumnis in the world
  • 90% Rate of professional integration after 6 months
  • +500 Partner companies


Our 3 next training sessions

Remaining places




Hybride - Paris
8 weeks - Full-time
09/09/2024 -> 04/12/2024
Hybride - Paris
8 weeks - Full-time
30/09/2024 -> 25/11/2024
Hybride - Paris
8 weeks - Full-time
28/10/2024 -> 23/12/2024

Master the fundamental skills of Data Analytics


Learn how to dissect and interpret data sets to extract valuable information to guide business decisions.

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Harness the power of automation tools to streamline data collection and workflows.



Learn how to transform raw data into compelling visual stories to make data understandable and actionable.

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Build and manage robust data pipelines, ensuring smooth and efficient data processing and transformation.

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Program Data Analytics Bootcamp

The most comprehensive 8-week programme on the market

Module 1

Business Intelligence

Module 2

SQL & Data Warehouse

Module 3

Python programming

Module 4

Machine Learning (Low code)

Module 5

Data Sourcing

Module 6

Data Visualisation

Module 7

Data culture

1 week

Manipulate data with Google Sheets

➜ The basics of data analysis and Google Sheets

➜ Key performance indicators (KPIs) and their applications

➜ Identification and sourcing of relevant data

➜ Building a sales funnel analysis

➜ Product and marketing analysis

1 week

Explore SQL and Big Query

➜ SQL basics and writing queries

➜ Building and managing data warehouses with BigQuery

➜ Advanced SQL queries for data analysis

➜ Data cleansing and transformation in SQL

➜ Using SQL for Business Intelligence

1 week

Master Python for automation

➜ Python for data analysis

➜ Data cleansing and pre-processing with Python

➜ Exploratory analysis

➜ Visualisation with Python

➜ WebScraping with Selenium

1 week

Data science with Dataiku

➜ Fundamentals of Machine Learning

➜ Building predictive models

➜ Evaluation and continuous improvement of model performance

➜ Deploying models with Dataiku

➜ Using SQL for Business Intelligence

1 week

Automate data sourcing

➜ APIs and Webhooks

➜ Automating data acquisition with Zapier

➜ Extract-Transform-Load (ETL) with Fivetran

➜ Implementing Google Tag Manager

➜ Building automated pipelines for lead acquisition

➜ Using SQL for Business Intelligence

1 week

Visualise data with PowerBI

➜ Building interactive dashboards with PowerBI

➜ Using Looker for Business Intelligence

➜ Introduction to Google Studio

➜ Best practices in data visualization

➜ Using SQL for Business Intelligence

1 week

Get to grips with data

➜ Mastering the Modern Data Stack

➜ Data Governance : Collibra

➜ Ethical & Legal AI

➜ Advanced automation with Airflow

➜ Development tools: Git

➜ Using SQL for Business Intelligence


✔ Identify relevant data sources

✔ Understanding KPIs and their application in a commercial context

✔ Mastering Google Sheets for data analysis

✔ Google Analytics 4 for measuring web traffic


✔ Mastering SQL for data analysis

✔ Mastering data warehouse concepts with Google Cloud Platform

✔ Clean and transform data on the fly using SQL


✔ Mastering Python for data analysis with the main libraries.

✔ Exploratory data analysis (EDA) with Numpy and Pandas

✔ Visualisation with Seaborn, Plotly & Matplotlib


✔ Mastering Dataiku for data science tasks

✔ Clean up data, and build models in Python and on Dataïku.

✔ Evaluate and improve the performance of a model

✔ Know how to interpret and explain a Machine Learning model.


✔ Understanding APIs and their use in data sourcing.

✔ Understanding and handling the main data types

✔ Mastering low-code automation tools

✔ Mastering DBT for data pipelines


✔ Data-driven strategic approach

✔ Automate dashboard creation

✔ Communicate and explain your analyses

✔ Mastering the main tools


✔ Ensuring the security, legality and compliance of a Data process

✔ Planning, budgeting and managing a data analysis project

Classic training day

Our days are organised to make it easier for you to learn and progress.








After a good cup of coffee, we start with a lesson on the topic of the day. No slides or long theoretical explanations: our courses are totally practical and based on real cases.


Now it's your turn! For each day, we've designed a series of exercises of increasing difficulty based on real cases. You work in pairs and our experts are there to help you and answer any questions you may have.




Throughout the course, you will work on a "common thread" project that you will present at the final demo day. It's an opportunity to get your mind off things and consolidate what you've learned on previous days.

Live review

Return to the classroom with the teacher to work together on certain exercises or explore new techniques and the best solutions from the Artefact experts.

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Choose your course according to your level

Beginner level

Launch your data career!

You’re a beginner and want to become a Data Analyst. By following all the modules, this profession will hold no secrets for you.

Length of course 8 weeks

Intermediate level

To improve your skills!

You already have a basic knowledge of Data. You’re going to enrich your knowledge by following the appropriate modules.

Length of course 5 weeks

Expert level

For perfect control!

You already have solid technical skills in data. You’ll be able to hone your expertise and grow by choosing the modules you want.

Length of course 5 weeks

Training led by our Artefact experts

Learn directly from our Artefact data experts, who are at the heart of the action every day in the world's finest companies.

They are much more than just trainers, they are leading-edge players in the field of data, ready to pass on their know-how and Artefact expertise to you.

Our alumnis current Data Analyst

Our data analytics students have landed jobs at Artefact and some of the world's top companies.

96% find a job within 6 months and sometimes even before the end of their training.

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4.8/5 satisfaction rate

4.9/5 on Course Report
4.9/5 on Switch Up
4.8/5 on Google
4.8/5 on Truspilot
Agnès Guinaudeau Head of data chez Phénix

Hélène Cazelles

Business Analyst at Valiuz

" I recommend the data analyst bootcamp to 2000%! I was originally a lawyer and I've always been fascinated by the world of data, so I decided to take the plunge and choose an organisation that is solid and recognised in the sector! After the bootcamp I became a data consultant and then a business analyst! "

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Ilyes gasmi data analyst

Haoshu Zhai

Product Owner at Adidas

" I learnt the fundamentals of data analysis in a healthy and pleasant environment. The programme is solid and full of resources. Everything is well structured and very professional. A great community with valuable feedback and help from everyone. "

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Agnès Guinaudeau Head of data chez Phénix

Adeline Miroslaw

BI Consultant at Capgemini

" I recommend this brilliant experience! The learning experience is brilliant and superbly well organised: a calendar in my diary, daily zoom access, a large platform with videos, challenges and solutions for learning. The content is great and the teachers are passionate."

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Agnès Guinaudeau Head of data chez Phénix

Benjamin Espeche

Data Analyst at Grant Thornton

" Very good balance between theoretical and practical learning. I would recommend it to 100%! The teachers are very committed to ensuring that their students understand and learn every subject. "

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Agnès Guinaudeau Head of data chez Phénix

Salim Bouhacina

Data Analyst at Renault Group

" The only data training course created by a world leader in data and taught by the best experts in the field! We work on real business cases every day! Go for it if you're looking for a new career in data! "

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Agnès Guinaudeau Head of data chez Phénix

Sandra Zidane

Data Analyst at BNP

" 8 weeks of intensive, face-to-face training... that makes all the difference! A top-notch teaching team and great premises. Teaching based on the learning by doing method... lots of practical cases. You learn well, you learn fast! "

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Agnès Guinaudeau Head of data chez Phénix

Patrick Amintsa

MOA Consultant at Groupama

" The training at the School of Data gave me a better understanding of the importance and challenges of data in everyday life through its diverse courses. It's a unique experience that has helped me to choose my career path and, above all, has enabled me to develop my network. "

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Get an RNPC 7

Data Analytics

There are many financing options available to you, and we're here to help you find the one that's best for you.

How to finance your training?

It is possible to obtain full or partial funding for your training.

Our team is available to help you find the solution best suited to your situation and put together your finance application.

Depending on your situation, you can receive CPF, POEI, CSP, Pôle emploi, Agefiph, OPCO, professional transition or regional funding, or you can finance the training yourself in several instalments.

How to register for the training?



Simply leave us your contact details and we'll get back to you as soon as possible to build your project.

Let's connect

Choose a slot for the admission interview. It is a A time for sharing to get to know each other better.

Finance your project

Once your successful applicationa member of our team can help you find Financing the most suitable.

Join the bootcamp

Congratulations, all you need to do is some preparatory work at home and you're off.

Ready to launch your career?

Get our training programme

Do you have a question?

Our Career Team is by your side

Benefit from the expertise of Artefact’s HR department and our network of partner companies to secure your future permanent contract.


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Alumnis in the world

Employability rate at 6 months

Partner companies


Do you have any other questions about Artefact School of Data? We'd love to hear from you.

What career opportunities are there after a Data Analytics course?

The most common roles include :

  • Data Analyst: This is the most direct role for those who train as a data analyst, where you could work in a variety of sectors such as finance, marketing, sales or healthcare.
  • Business Intelligence Analyst: These professionals use data to help companies make strategic decisions.
  • Data Project Manager: This management position involves managing data teams and overseeing the company's data projects.
  • Other careers depending on your background: Data Project Manager, BI Consultant, Specialist web analytics, Data Marketing, Cybersecurity, Fraud, Sales Ops, Growth, digital marketing, data consultant, etc.

What skills will you have acquired by the end of the Data Analyst course?

The course leads to validation of the level 7 skills block "Developing an artificial intelligence solution". Successful completion of this block of skills will enable you to validate part of the RNCP36129 "Artificial Intelligence Project Manager" certification awarded by the Collège de Paris.

This certification is made up of 4 blocks of skills:

  • Block 1: Developing an artificial intelligence solution using Design Thinking
  • Block 2: Managing an artificial intelligence project
  • Block 3: Developing an artificial intelligence solution (Machine and Deep Learning)
  • Block 4: Deploying an artificial intelligence solution.

Obtaining the full RNCP36129 certification is therefore based on capitalising on the 4 blocks of skills that make it up.

Each block can be acquired individually. An acquired block is definitive. A certificate of achievement is issued for validation, a strong signal on the job market.

What salary can you expect as a Data Analyst?

At the start of their career, a Data Analyst can expect an average salary of €42,000 per year, with variations between €35,000 and €50,000 depending on the company and the sector. With three years' experience, an experienced data analyst can generally expect a higher salary, ranging from €60,000 to €70,000 a year.

What are the tasks of a Data Analyst?

The tasks of the data analyst include collecting data from different sources, cleaning it and preparing it for analysis. They are also responsible for the statistical analysis of the data, identifying trends and patterns, and presenting the results in a clear and understandable way. In addition, a data analyst often works closely with management teams to understand their data needs and to help guide strategic decision-making.

What is a Data Analyst?

A data analyst collects, processes and interprets complex data to help organisations make informed decisions. They use statistical and computational tools to uncover trends, patterns and insights that are hidden in the raw data. In an increasingly data-driven world, the role of the data analyst is crucial in transforming data into actionable information.