Python and SQL for Data Analysis: CSV to Dashboard

Data is everywhere, but the ability to extract meaningful insights from raw numbers is a highly sought-after skill. If you are looking to transition into data analytics, mastering the right tools is your first step. This course guides you through the entire data analysis pipeline using text-based lessons and hands-on coding exercises. You will learn how to clean, process, and visualize data, moving from raw CSV files to structured SQL databases and compelling dashboards. What you will learn: Understand fundamental data analysis terminology and core Python concepts. Set up modern Python environments using current packaging tools. Process and clean raw datasets using popular dataframe libraries like Pandas and Polars. Write SQL queries to extract, filter, and aggregate data from relational databases. Design insightful data visualizations and structure dashboard layouts. Build portfolio-ready projects that demonstrate your analytical problem-solving skills. The curriculum begins with essential terminology and basic programming syntax before progressing to complex data manipulation. You will work through practical written scenarios that mimic real-world data tasks. Designed specifically for beginners and career switchers, this course requires no prior programming or data experience. Start reading today and build the foundational skills needed for a career in data analysis.