Become a Data Analyst: practical roadmap to get started
Course requirements
Who is this course for?
About This Course
This course guides you step by step to become a Data Analyst, even if you start from scratch. You will understand the profession, the skills to learn, the essential tools, and the projects to complete to build a convincing portfolio.
The course presents a clear roadmap: understand the profession, learn Excel or Google Sheets, discover SQL, use Python gradually, create useful graphs, build dashboards with Power BI or Tableau, and then prepare your first applications.
With simple examples adapted to the African context, you will see how to analyze sales, track registrations, understand expenses, study inventory, or present results to a team.
What Will You Learn?
Curriculum Overview
This course includes 5 modules, 20 lessons, 5 quizzes, and 1h 37min hours of video.
This lesson presents the role of a Data Analyst, their responsibilities, and the importance of their analyses in decision-making. You will discover the different industries where Data Analysts operate.
Explore the essential skills to develop to become a Data Analyst. This lesson covers the technical, analytical, and interpersonal skills required in this profession.
Assess your knowledge of the role and skills of a Data Analyst.
This lesson introduces you to the basic functions of Excel and Google Sheets, essential tools for a Data Analyst. You will learn to manipulate data and perform simple calculations.
Deepen your knowledge of the advanced features of Excel and Google Sheets, such as pivot tables and charts, to enhance your analytical skills.
Discover SQL, the query language used to manage and query databases. This lesson covers the basics of SQL syntax and practical examples.
Learn to write more complex SQL queries to manipulate and extract data. You will see how to filter, sort, and group data according to specific criteria.
Test your knowledge of Excel, Google Sheets, and SQL.
This lesson explains the importance of Python in the field of data analysis. You will discover its main libraries and tools that facilitate analysis.
Get started with the fundamental concepts of Python, such as variables, data types, and control structures. You will learn to write simple scripts.
Explore the Pandas library to manipulate and analyze data. This lesson will show you how to load, clean, and transform datasets.
Assess your knowledge of using Python in data analysis.
Discover the importance of data visualization and the types of charts commonly used. You will learn to choose the right chart for your data.
Learn to use Matplotlib and Seaborn to create impactful visualizations. This lesson will guide you through practical examples.
This lesson introduces you to Power BI and Tableau tools for creating interactive dashboards. You will learn how to import data and design effective visualizations.
Evaluate your knowledge of charts and visualizations.
Discover how to select and present your data analysis projects in a portfolio. This lesson will give you tips to showcase your skills.
Learn how to write a CV and a cover letter tailored to the position of Data Analyst. You will discover the key elements to include to attract the attention of recruiters.
This lesson prepares you for job interviews for a Data Analyst position. You will see common questions and how to demonstrate your skills during an interview.
Assess your knowledge of portfolio creation and interview preparation.
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