Foundations in Data Analytics provides a comprehensive introduction to the core principles, tools, and techniques used in modern data analytics. Designed for professionals aiming to enhance decision-making through data, this course bridges the gap between raw information and actionable insights. Students will explore the data lifecycle, including data collection, cleaning, exploration, visualization, and basic statistical analysis. Key Topics: • Understanding the data analytics process • Data types, sources, and structures • Data preparation and cleansing techniques • Introduction to descriptive and inferential statistics • Data visualization using tools like Excel, Tableau, or Power BI • Basics of data-driven decision making • Ethical considerations and data governance