Improve your data analytics skills
At the end of this skill course, you will:
- Master Google Sheets and conduct comprehensive analysis
- Become autonomous in SQL
- Build visualizations with Looker Studio
This course is for you if...
- You work with data and you want to be autonomous
- You know how to make graphs, but scaling and automation are a challenge
- You use SQL, Looker Studio, or Google Sheets but not to their fullest potential
curriculum
What you’ll learn in this Data Analytics Essentials course
In just 40h, you’ll master the fundamentals of data analytics, gaining the autonomy to conduct thorough analyses with confidence.
10h
Automate dashboards with Google Sheets
In practice:
- Understand why tools like Snowflake, BigQuery or Looker are important
- Set up Shapr's automated management dashboards on Google Sheets
Tools you will learn:
8h
Become autonomous in SQL
- Create Shapr's Product Tracking Board.
- Analyze the impact of Marketing investments on Shapr's business.
Tools you will learn:
10h
Build visualizations with Looker Studio
- Create an automated monitoring dashboard for a B2B funnel with data from a prospecting tool (Lemlist) and a CRM (Hubspot).
- Create an automated follow-up dashboard for Shapr's COMEX with data from a Data Warehouse (BigQuery) via SQL.
Tools you will learn:
12h
Conduct concrete data analysis
What you will do in practice:
- Perform hands-on analyses to your own data
- Or apply your learning to data from our partners
Want to learn more about our Data Analytics Essentials course?
Understand the goal of this skill course
Get our syllabus week by week
Understand our methodology
Download our Data Analytics Essentials syllabus
Boost your skills learning from data software experts
With skilled and helpful teachers, you'll rapidly learn hands-on skills and build a strong foundation to further advance your career.
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Apply your skills to real-world data
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Learn in an immersive, hands-on environment
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Gain lifetime access to Le Wagon's learning platform
Authors & Teachers
Next sessions
Discuss your career
Decide which course is the best for you
Learn more about your financing options
Explore our methodology
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FAQ
Your questions answered
- Web Development: No technical background is required. We look for motivated, curious, and social students. If this describes you, you’re ready to apply and complete the selection process.
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Data Science & AI: Requires basic programming and math knowledge:
- Programming: Familiarity with data types, conditions, loops, functions, and data structures (arrays and dictionaries) in any language like Python, Ruby, or JavaScript.
- Mathematics: Comfort with high school-level functions, derivatives, and linear equations. We provide pre-bootcamp resources to help you brush up on linear algebra and statistics.
- Data Analytics: Beginner-friendly, with no prerequisites beyond motivation to start your tech journey.
- Data Engineering: Beneficial to have foundational skills in programming, databases, and data infrastructure. Successful data engineers often blend these technical skills with strong soft skills to solve complex data challenges. This bootcamp provides hands-on training to help you build or deepen these skills, whether you’re starting fresh or seeking advanced expertise.