Data Analyst Essentials: SQL, Python, and Power BI

Organizations worldwide rely on data to make critical decisions, creating a massive demand for skilled data professionals. If you want to transition into this high-growth field, learning how to collect, analyze, and visualize data is your first step. This text-based course guides you from absolute beginner to confident junior analyst. You will develop a solid grasp of statistical concepts, learn to query databases, write efficient data manipulation scripts, and present your findings in professional dashboards. What you'll learn: - Understand foundational statistical concepts, probability, and hypothesis testing for data-driven decisions - Write SQL queries to extract, filter, join, and aggregate data from relational databases - Apply Python and modern dataframe libraries to clean, manipulate, and analyze complex datasets - Create clear, interactive Power BI dashboards that communicate key business metrics effectively - Establish reliable data analysis workflows that ensure data quality and reproducibility The curriculum starts with essential terminology and mathematical foundations before progressing to hands-on SQL querying and Python programming. You will then learn to tie everything together by building clean data models and interactive business intelligence reports. This course is designed specifically for beginners with no prior programming or data analysis experience. Start your journey toward becoming a data analyst today.