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
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
40h
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
64h
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
56h
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
56h
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
64h
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!
80h
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 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!
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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
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.
Ask all your questions to our advisors
Only have one question?
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.
You don't need any technical background to join our data analytics bootcamp. We expect 3 things from our students: be (extremely) motivated, be curious, be social. If this sounds like you, then we'll be more than happy to have you on board if you pass all the selection process.
Once the bootcamps ends, you will benefit from our career services.
Our local team will help you prepare for tech interviews, meet the best local recruiters and connect with relevant alumni. You will also have access to a complete guide to kick-start your tech career after the course: boost your portfolio, prepare for technical interviews, leverage on our 10,000 alumni community, but also to lots of useful Slack channels to find jobs or freelance opportunities.
Our local team will introduce you to the right people depending on your goal and you will meet with inspiring alumni who will come back to share their post-bootcamp experiences, like how they found a job, started their own company or freelancing career.
These are some career services we will provide:
- 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)
Some cities offer specific funding options with local financial partners, like deferred tuition plans, student loans with interesting conditions or Income Share Agreements (ISA). Again, you will find more details about these options on the page of each city on Le Wagon’s website. Also feel free to reach out to the local admission manager to have more details about their local funding options.
You need to be 18 to enroll for the course. However, you can apply if you are 17 as long as you turn 18 before the start of the bootcamp.
Data analytics refers to the process of collecting, processing, and analyzing raw data to extract insights and make informed decisions. The field encompasses a broad range of techniques and methods, including data mining, predictive modeling, and statistical analysis.
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.
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.
Web Development course
You don't need any technical background to join our web development bootcamp. We expect 3 things from our students: be (extremely) motivated, be curious, be social. If this sounds like you, then we'll be more than happy to have you on board if you pass all the selection process.
Data Science course
The Data Science course requires some basic knowledge of programming and mathematics.
- 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.
To become a successful data analyst, one must possess a combination of technical and soft skills. Technical skills are essential in handling large data sets, performing data analysis, and interpreting data.
Examples of technical skills include proficiency in tools like Excel, PowerBI and, Google Data Studio, programming languages such as Python, R and SQL, alongside business intelligence tools, and machine learning.
Soft skills are equally important for a data analyst to succeed in their role. Communication is key, as data analysts must effectively communicate their findings to stakeholders with varying levels of technical expertise. Critical thinking and problem-solving skills are also crucial, as data analysts must identify trends and patterns in data, and use that information to make informed decisions.
Other soft skills include attention to detail, time management, and the ability to work collaboratively with other members of the data team. A successful data analyst must continually update their skills, staying current with the latest technology and trends in data analysis.
In most cities, the bootcamp is taught in English.
In French cities, the program is in French. You will have a 1h30 lecture in the morning in French, and a 1h30 live-code in the evening in French as well. So, if you don't understand French correctly, you won't be able to attend the bootcamp in France.
In some other cities (São Paulo, Shanghai, Chengdu, Tokyo) specific sessions are organised in other languages (Brazilian Portuguese, Chinese, Japanese). You can check the language of the next batch on the "Apply" page.
Extra info: all the challenges' instructions and written documentation are in English, so all students must have a good level and understanding or written English, even in cities where lectures are given in another language.
Upon completion of the data analytics bootcamp, you will be equipped with all the necessary skills to jumpstart your career in a data analytics team. You will gain proficiency in exploring, cleaning, and transforming data into actionable insights, as well as implementing machine learning models from start to finish in a production environment, all while working collaboratively in teams using industry-standard tools.
The possibilities for your career after the bootcamp are numerous :
- 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.
This bootcamp will provide you with the foundational knowledge and practical experience to succeed in the fast-growing field of data analytics.
To apply, simply complete the application form on our website by selecting:
- 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!)
This is a quick process which only takes a few minutes. We will then contact you to schedule an interview (either in-person or online) to understand your motivations in more detail and answer any questions you have about our bootcamps.
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
Download our Data Analytics syllabus
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