Boost your career with
our Data Analytics Course 📈🤖

Understand data sourcing

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 build 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

Google Sheets

Master Structured Query Language (SQL)

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 build 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

SQL BigQuery

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. Track the data of your web app by creating a tagging plan.

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 teamSpam detection algorithms

Zapier Fivetran Google Tag Manager dbt

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

Power BI Looker Studio

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

Python Jupyter Pandas Airflow

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.

Projects Examples:
✅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.