Basics in Data Analysis & Visualization

Course Description

Transform raw data into strategic business insights. This course focuses on the tools and programming skills required to clean, process, analyze, and visualize large datasets. Students will master **Python** (using the **Pandas** library) and be introduced to the statistical programming language **R**. The final outcome is the ability to present compelling data narratives using industry-leading visualization platforms like **Tableau** and **Microsoft Power BI**.

Curriculum

• Data Analysis Fundamentals: Statistical concepts, data types, and cleaning methodologies.
• Programming for Data: Mastering Python (Pandas) and an introduction to R for data manipulation.
• Data Visualization: Creating charts, dashboards, and reports using Tableau/Power BI.
• SQL for Data Retrieval: Querying data from relational databases.
• Exploratory Data Analysis (EDA) techniques.
• Building and presenting a capstone data analysis project.

Career outcomes & prerequisites (The Why & Who)

• Students with basic programming literacy (preferably Python or similar).
• Business Analysts, Researchers, and Managers who need to make data-driven decisions.
• Anyone aiming for a career as a Data Analyst or Data Scientist.

Key outcomes & value

• Data Proficiency: Ability to clean, process, and analyze complex datasets using Python/Pandas.
• Visualization Mastery: Creation of professional, interactive dashboards in Tableau or Power BI.
• Business Insight: Translating complex data into actionable business recommendations.
• Duration: 2 Months
• Tuition: 450,000 UgX