Data Analytics Fundamentals: Python, SQL, A/B Testing, and Tableau

Data-driven decision making relies on extracting insights from raw data, evaluating hypotheses, and communicating findings clearly. This text-based course guides you step by step through the essential toolkit used by modern data analysts. You will begin by learning fundamental data concepts, core metrics, and terminology before progressing to practical written explanations and code snippets. By studying these lessons, you will gain confidence in manipulating dataset structures, querying databases, evaluating business experiments, and crafting interactive dashboards. What you will learn: • Understand key data analysis terminology and foundational concepts • Write and debug Python scripts for data cleaning and manipulation • Formulate SQL queries to filter, aggregate, and join relational tables • Design and analyze statistical A/B tests to measure feature performance • Create clear visualizations and dynamic dashboards using Tableau • Practice modern data quality checks to ensure reliable analytical results. The material moves logically from introductory definitions to structured workflows in scripting, database querying, experiment analysis, and reporting. Designed specifically for beginners, this course requires no prior programming or advanced mathematics background. Start reading today to build your foundational data analytics skills.