Our data analytics course is intense. To be prepared and make the most out of the bootcamp, you must complete 40 hours of preparation work to give you basic tech foundations and culture.
What you will do in practice:
- 40 hours of online tutorials
Software and languages you will learn:
40h
Understand and manipulate data
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.
What you will do in practice:
- 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
Software and languages you will learn:
Google Sheets
48h
Master the language of Data Analysts
Understand all the techniques to centralize and transform your data in a data warehouse. Create effective dashboards and conduct in-depth analysis for business teams.
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
Software and languages you will learn:
BigQuery
SQL
56h
Build interactive dashboards
Create exceptionally clear and interactive charts and dashboards for your teams. Unlock valuable data insights through the adoption of precise analysis methodologies.
What you will do in practice:
- Select the optimal graphics, contextualize data, and structure information
- Build dashboards using Google Data Studio and PowerBI
- Provide data-driven recommendations for action
- Analyze AB test outcomes to inform product development decisions
Software and languages you will learn:
Power BI
Looker Studio
80h
Analyse and predict results
Manipulate large volumes of data and understand 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.
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
- Anticipate future revenue and group your customers by category
Software and languages you will learn:
Python
Jupyter
Pandas
Scikit-Learn
Plotly
HTML
80h
Become a Data Analyst for our partners
Conduct a comprehensive data analysis project with real partner data. Master problem formulation, data extraction, centralization, processing and analysis, and the creation of automated value-driven dashboards.
Examples of projects:
- 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 with JobTeaser's data.
- ... And many others!
Start your career in data analytics!
From the moment you embark on your tech journey, our dedicated career services team is there to provide you with tailored guidance throughout and beyond your training. Connect with our vast network of 1000+ hiring partners, benefit from 1:1 coaching and much more!
- Elevate your personal branding & get technical interview training
- Benefit from 1:1 coaching & key alumni Q&A sessions
- Connect with an extensive network of 1000+ hiring partners
- Get a lifetime access to Le Wagon content
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Looker Studio
Zapier
Google Tag Manager
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