Course info
Master the fundamental skills of a data analyst
in just a few weeks
Understand data sourcing
Discover business KPIs and learn how to collect data from various sources to run common analyses (churn, funnel, CAC, AB test, time to convert, etc..)
Google Sheets
Payment
CRM
Master data extraction and transformation
Learn to extract data using APIs, automation tools or product tracking. Transform and load data on a warehouse building the right data layers and using advanced SQL.
SQL
Google Analytics
Fivetran
Learn BI and data visualization
Communicate your results clearly using the right visualisations and building automated dashboards with the most used BI tools.
Power BI
Google Data Studio
Learn Python for Data Analytics
Run analysis on big data sets using Python and Jupyter notebook. Learn the foundations of Machine Learning with Python to collaborate with data scientists or ML engineers.
Python
Machine Learning
You can start for FREE! Join a live workshop for web development, data analytics, or UX design.
What our Data Analytics bootcamp looks like
Check out our curriculum week after week.
Prepwork: get ready to start the bootcamp
40h
- Understanding the concept of KPIs and discovering the basics of data analysis
- Introduction to Google Sheets
- Introduction to SQL
- Introduction to Python
What you will do in practice
- 40 hours of online tutorials
Understanding data and manipulating it with Google Sheets
40h
- Product analysis - Retention, lifetime value, cohort analyses, etc.
- Sales analysis - Funnel, average basket, time to convert, etc.
- Marketing analysis - AARRR framework, conversion rate, etc.
- Finance analysis - Margin, results, etc.
What you will ll do in practice
- Learn how to identify the data sources to use
- Build a sales funnel for a sales team
- Analyze campaign performance for a marketing team
- Analyze customer retention for a product team
Extraction: How to recover and clean data automatically
64h
- Understand the principle of APIs with the Airbyte tool
- Learn the best automation tools: Zapier & n8n
- Use the world leader in ELTs: Fivetran
- Analyse website trafic with Google Tag Manager & Google Analytics 4
What you will do in practice
- Use APIs and implement webhooks
- Build an automated lead acquisition workflow for a growth team
- Track a new website event for a Marketing team
- Duplicate CRM data in the Data warehouse for a Data team
SQL: Master the Language of Data Analysts and Build Actionable Data Warehouses
56h
- Get started with Bigquery, Google's Data Warehouse
- Master SQL queries for analytics
- Segment your data into “Data Layers” with the DBT tool
- Study the different data architectures of tech companies
What you will do in practice
- Query the database to respond to business requests
- Clean data from business rules
- Build data models for marketing, sales and product teams
- Perform analytical queries and optimize your queries
Data Visualization and Business Intelligence
56h
- Adopt the best visualization techniques
- Master the leading tools on the market
- Conduct relevant analysis and interpret the results
- Check the significance of your recommendations with statistics
What you will do in practice
- Choose the most suitable graphic, add context and order the information
- Create marketing, sales and product dashboards on Google Data Studio and PowerBI
- Recommend actions based on your data analytics
- Interpret AB testing results to develop the product
Python for Data Analysis and Prediction
64h
- Discover the Jupyter Notebook format
- Collaborate and manage your environments on Jupyterhub
- Learn to predict the future with the Python sklearn and prophet libraries
- Create clusters from your data
- Automate the execution of your scripts with Airflow
What you will do in practice
- Create your environments and practice versioning with git
- Predict which users are most at risk of leaving
- Identify the most discriminating variables among your data
- Predict future revenue and group your customers by category
Final project: become a Data Analyst for one of our partners!
80h
Examples of projects
- Food delivery market analysis. Define the go to market strategy for Fox Intelligence by Nielsen.
- Define the key factors for success in the Highway Code with Ornikar's data.
- Optimize student placement rate through data analysis with JobTeaser's data.
Career Week: start your career in tech!
- Preparation for your job search
- Connection to our 19,000 alumni and 985+ hiring partners
What you will do in practice
- 1:1 coaching
- Review of CV and cover letter
- Technical interviews preparation
Locations
Where would you like to study Data Analytics?
You can choose to learn Data Analytics in over 45 locations worldwide or online. Find now your learning destination!
Need more details about our Data Analytics bootcamp?
Understand the goal of the bootcamp
Get our syllabus week by week
Understand our methodology

Admission
How to apply to our Data Analytics bootcamp
Our admission process is beginner-friendly and will give you a taste of our course. Start now!
No technical prerequisites
Book an interview with our enrolment advisor
Pass our quiz
You will take a quiz to assess your logic, curiosity and learning capacity in Le Wagon courses.
Payment options & prepwork
Ask all your questions to our advisors
Financing options
Find the right financing
options for you
Finances shouldn't be a barrier to accessing our bootcamps. We're always finding new ways to facilitate payments and fundings.
F.A.Q.
- Networking events, job fairs, career workshops and office hours with alumni or tech recruiters
- Coaching sessions with our Talent Manager or local alumni
- Resources our Career Playbook
- Introductions to our network of hiring partners through our Hiring Newsletter
- Career week with practical workshops (from building a portfolio to inspiring talks)
Data analytics is used in various industries to improve decision-making processes, identify trends and patterns, and gain a competitive advantage.
The process involves cleaning and transforming data to make it suitable for analysis, followed by exploring and visualizing the data to gain insights.
Data analytics also involves developing and implementing predictive models to make informed decisions and identify potential risks or opportunities.
With the increasing amount of data available today, data analytics has become an essential tool for businesses and organizations looking to succeed in a data-driven world.
- How much programming do I need to know? Well, you must be comfortable with data types & variables, conditions, loops, functions and data structures like arrays and dictionaries (also called hashes in some programming languages). If you know those topics in other languages than Python (like Ruby, JavaScript, C++, etc.), you have the right programming prerequisites!
- How much mathematics do I need to know? In order to join our Data Science course, you also need a minimum level in Mathematics and to be familiar with concepts covered in high school's scientific section. We need you to be comfortable with functions, their derivatives & systems of linear equations. To get up to speed, some additional preparation work will be given to you before the bootcamp start to get a refresh of all these concepts as well as more advanced knowledge on linear algebra and statistics.
- You can seek employment as :
- Data analyst
- Business analyst
- Data manager
- Data consultant
- Work as a freelancer on various data analytics projects.
- For those with an entrepreneurial spirit, you can even launch your own project.
- The course (Web Development, Data Science)
- The format (9-week full-time, 24-week part-time)
- The city you're interested in
- An introduction of why you want to join us and information about your personal project (if you have one!)
More than a bootcamp.
Join a global tech network for life.
By choosing Le Wagon, you are joining a supportive community of alumni, teachers, tech recruiters. Benefit from life-long access to the course material, and to our network job offers.
21,000
alumni
45
campuses
1,500
tech experts and professors
93k
meetup members
Need more details about our Data Analytics bootcamp?
Understand the goal of the bootcamp
Get our syllabus week by week
Understand our methodology
