Foundations of Data Analytics and Modern Data Workflows

In today's tech landscape, the ability to make data-driven decisions is one of the most highly sought-after skills. This course introduces you to the core principles of data analytics and modern data workflows without assuming any prior technical background. You will transition from understanding basic data concepts to confidently analyzing datasets and drawing actionable insights. What you'll learn: Understand foundational data concepts, structures, and key terminology used in the tech industry; Clean and prepare messy datasets using modern Python dataframe libraries; Perform exploratory data analysis to discover trends, patterns, and anomalies; Apply basic SQL queries to extract and filter data from relational databases; Write clean, modern Python code using type hints to build reproducible data pipelines; Practice presenting your findings clearly through written summaries and data interpretation exercises. This text-based course starts with the absolute basics of data structures and analytical thinking before guiding you step-by-step through practical data manipulation techniques and modern industry workflows. This course is designed specifically for beginners who want a structured, text-only learning experience to build a strong foundation in data analytics. Start your journey into the data field today.