Data Analysis
Build practical capability through guided lessons, exercises and real-world projects.
Build understanding you can apply.
This course teaches students how to analyze and interpret data using Excel, MySQL, and pandas. With a focus on practical skills, students will learn how to clean, manipulate, and visualize data to extract meaningful insights. By the end of the course, students will be ready to work with large datasets and make data-driven decisions. What Students Will Learn: Data analysis fundamentals and workflow Using Excel for data organization, analysis, and visualization Writing SQL queries to retrieve and manipulate data in MySQL Data cleaning and preparation techniques with pandas Visualizing data with charts and graphs in Excel and Python Performing exploratory data analysis (EDA) with pandas Analyzing datasets and generating insights from structured data Combining Excel, MySQL, and pandas for advanced data analysis By the end of the course, students will be proficient in using Excel, MySQL, and pandas to analyze data, draw insights, and make data-driven decisions.
- Instructor-led practical sessions
- Hands-on exercises and projects
- Guidance and feedback
- Real-world problem solving
More than a lecture.
