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
Our Data Analytics course is intense. To be prepared and make the most out of the bootcamp, you must complete a 40 hours preparation work to gives you basic tech foundations and culture.
- 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
What data is available? Where are they found? What KPIs do we want to follow? In this module, you will conduct in-depth analysis on business data and build automated dashboards with Google Sheets.
- 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
You're not going to spend all day updating your charts! Master ELT tools (Extract, Load, Transform), APIs or No-code / Low-code tools to extract data from different sources and centralize it. Also learn how to track the data of your web app by creating a tagging plan.
- 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
Learn all the techniques to centralize and transform your data in a data warehouse. Create effective dashboards and conduct in-depth analysis for business teams.
- 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
Learn how to build the clearest, most interactive charts and dashboards possible for your teams.
Uncover insights from your data by adopting the right analysis methodology.
- 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
Learn how to manipulate large volumes of data and how to represent them. Master the basics of Machine Learning to predict results and perform complex analysis. Collaborate better with data science and engineering teams.
- 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!
Perform an A-Z data analysis project with real data from our partners. Learn how to properly pose the problem, identify, extract, centralize and process your data. Conduct your analyzes and create automated dashboards that will bring value.
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.
... And many others!
Career Week: start your career in tech!
Meet tech experts working in startups and companies, prepare your CV and do mock interviews to prepare your job search.
- Preparation for your job search
- Connection to our 15,000 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!
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Need more details about our Data Analytics bootcamp?
Understand the goal of the bootcamp
Get our syllabus week by week
Understand our methodology
4.98 / 5
2259 reviews
4.98 / 5
2301 reviews
4.9 / 5
714 reviews
Download our Data Analytics syllabus
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Get hired at top tech companies
Le Wagon helps you land your dream job. Our career services guide you at the end of your bootcamp.
985+
hiring partners
93%
employment rate
3 months
on average to find a job
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!
1
No technical prerequisites
The Data Analytics course is beginner-friendly, with no prerequisites required. What counts for us is that you’re motivated to start your new Tech journey.
2
Book an interview with our enrolment advisor
When you apply, we'll get back to you to schedule a 30 minute video interview. We'll talk about your professional project and your motivation.
3
Pass our quiz
You will take a quiz to assess your logic, curiosity and learning capacity in Le Wagon courses.
4
Payment options & prepwork
The last step will consist of finding the most suitable financing option for you. Then, you'll jump into the prepwork which consists of 40h training.
Have questions?
Choose the right course for you
Explore your financing options
Preview our learning platform
4.98 / 5
2259 reviews
4.98 / 5
2301 reviews
4.9 / 5
714 reviews
Book a free call with our advisor
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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.
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.
17,756
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
4.98 / 5
2259 reviews
4.98 / 5
2301 reviews
4.9 / 5
714 reviews
Download our Data Analytics syllabus
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