Data Analytics Practitioner

This course is designed for aspiring data analysts and data scientists, providing foundational skills and hands-on experience with Python, SQL, Power BI, and introductory machine learning. It is tailored for professionals looking to build a strong analytics foundation and advance their careers with in-demand tools and techniques.
Students will learn to clean, analyze, and visualize data to solve real-world business problems and make data-driven decisions with confidence. Topics include: basic SQL and Python for data analysis; statistical analysis techniques for uncovering patterns and trends; interactive dashboard creation with Power BI; fundamental machine learning concepts for predictive analytics; ethical data practices and effective presentation methods.
All instructional materials are included. Prerequisites: Some experience in the field of data analytics. Knowledge of MS Excel, statistical concepts, and programming are recommended.