MySQL and Statistics for Data Science and Business Analytics

Business decisions rely on data, but raw data is useless without the statistical tools to interpret it. Combining SQL querying with statistical analysis allows you to uncover meaningful patterns and trends directly from database tables. This text-based course bridges the gap between database management and data science. You will transition from writing basic database queries to performing statistical calculations—such as mean, median, standard deviation, and correlation—directly within MySQL, preparing you for real-world business analyst and data science roles. What you'll learn: - Understand core statistical concepts and how they apply to business analytics - Write MySQL queries to retrieve, filter, and aggregate business data - Calculate descriptive statistics like mean, median, variance, and standard deviation using SQL - Apply modern SQL techniques, including Common Table Expressions (CTEs) and window functions, for advanced data analysis - Analyze data distributions and identify correlations between business metrics - Practice writing SQL scripts to solve realistic business intelligence problems The course begins with foundational database concepts and statistical definitions before moving on to practical SQL querying. You will progress through structured text lessons and code examples that demonstrate how to perform statistical tests and analyze data distributions directly in your database. This course is designed for beginners who want to enter the fields of data science, business intelligence, or data analysis, with no prior SQL or statistics experience required. Start reading today to unlock the power of statistical analysis using MySQL.