This course provides a comprehensive introduction to data analytics, equipping students with the skills to collect, clean, analyze, and visualize data to make data-driven decisions. Through hands-on projects and real-world case studies, students will learn to use industry-standard tools and techniques to extract meaningful insights from data.

By the end of the course, students will be able to:

  • Understand the data analytics lifecycle and its applications.

  • Manipulate and analyze data using Excel, SQL, and Python.

  • Create compelling data visualizations and dashboards.

  • Apply statistical methods to interpret data.

  • Communicate data insights effectively to stakeholders.