What will you learn?
Welcome to the Data Analytics, Visualization, and Narrative Generation course! We’re thrilled to have you here as you embark on a journey to become a proficient data analyst. This course is designed to equip you with the core analytical skills and knowledge used by junior and associate data analysts in their day-to-day roles. Throughout this course, you will learn the essential practices that data analysts follow, and develop key skills in data cleaning, analysis, and visualization—all using the powerful R programming language.
You will gain hands-on experience with a variety of concepts and terminologies relevant to the role of a junior data analyst, such as the data life cycle, and the complete data analysis process. These are the skills that will set you apart as a professional, enhancing your ability to understand, interpret, and present data in a clear and insightful manner.
Who is this course for?
Aspiring Data Analysts, Business Professionals, Students, Data Enthusiasts, Project Managers and Decision-Makers
By the end of the course, you will be able to:
- Perform data preparation, cleaning, and analysis using R programming.
- Apply key analytical techniques to turn raw data into actionable insights.
- Create compelling data visualizations to help communicate your findings.
- Develop your ability to tell a clear, data-driven story that communicates insights effectively.
Topic Overview:
This course is organized into 6 modules that will guide you through each step of the data analysis process:
- Module 1: Introduction – An overview of the data analysis journey and the importance of data in decision-making.
- Module 2: Ask Effective Questions – Learn how to ask the right questions and define clear objectives for your analysis.
- Module 3: Data Preparation – Understand how to clean, transform, and organize your data for analysis.
- Module 4: Data Analysis – Dive into the core techniques for analyzing and drawing insights from your data.
- Module 5: Data-Driven Storytelling – Learn how to craft narratives around your data to communicate your findings effectively.
- Module 6: Data Visualization – Master the art of creating visualizations that convey complex information clearly and persuasively.
How much time do you need to invest? Completing the course should take approximately four (4) hours
Course Certificate/Badge: A course certificate will be generated on the successful completion of the final quiz .
Course Providers: Inter-University Council for East Africa (IUCEA), Digital Skills for an Innovative East African Industry (dSkills@EA, GIZ)
Course Contact: For any questions regarding the course content, please reach out to Ben Ruhinda at bruhinda@iucea.org.
Licence: CC BY-SA
Date of publication: March 2025
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