Data Analysis Fundamentals with Python and SQL

Data-driven decision-making is an essential skill across modern industries, yet getting started with analytical methods can feel overwhelming without a clear guide. This written course provides a structured path from foundational concepts to practical data manipulation techniques. You will build a solid understanding of data handling, statistical principles, and analytical workflows to turn raw information into meaningful insights. What you will learn: Understand fundamental data analysis terminology and essential statistical principles. Extract and query structured data using essential SQL commands. Clean, transform, and inspect datasets using Python and modern dataframe tools. Conduct exploratory data analysis to uncover trends, anomalies, and patterns. Design clear visualizations and communicate data findings effectively. Apply structured workflows to evaluate real-world business datasets. The course begins with key concepts and foundational definitions before progressing to step-by-step written tutorials and practical exercises. This course is created for beginners, requiring no prior experience in programming or statistics. Gain practical analytical skills and start making sense of complex data today.