Introduction to Data Analytics [Course in French]

Are you curious about data and want to understand how to analyze it effectively? This Data Analytics training will guide you  with a pedagogical, simple, and warm approach, through  the essential tools to become a data analyst.

The course consists of 8 progressive modules that cover the basics of what you need to know about data analysis. You will learn how to manipulate data using popular tools like Excel, SQL, and Python. You will also discover how to clean, analyze, and visualize data to make informed decisions in any professional setting.

Key Modules:

1. Introduction to Data Analytics – Discover the different types of analysis (descriptive, diagnostic, predictive, prescriptive) and the importance of analyzing data to make better decisions.

2. Excel for Data Analysis – Learn to use Excel 

3. SQL for Data Analysis – Going through the basics of SQL to query databases efficiently.

4. Python for Data Analysis – Unlock the power of Python and its libraries (pandas, matplotlib, seaborn) to manipulate and visualize data.

5. Data Cleaning and Preparation – Learn how to clean your data, handle missing values, and detect anomalies before diving deeper into analysis.

6. Exploratory Data Analysis (EDA) – Explore your data with graphs and statistical analysis to uncover hidden trends.

7. Visualization and Dashboards – Learn to create interactive visualizations and dynamic dashboards with Power BI, Tableau, or Python.

8. Final Project (Capstone) – Apply all your skills in a real-world project, where you’ll clean, analyze, and present real data to answer a business question.

By the end of this training, you’ll be able to understand data analysis and know how to clean, analyze, and visualize data, opening up new opportunities for you, whether it’s landing a job, advancing in your career, or simply understanding the world around you.