Master Data Analysis: Learn Python, EDA, Stats, Excel, SQL, Power BI/Tableau, Fabric, Predictive Analytics & ETL Basics
Introduction Data is everywhere—every click, every purchase, every social media post, every medical record. But raw data alone is meaningless without proper analysis. That’s where data analysis steps in. By learning the right combination of tools like Python, Excel, SQL, Power BI/Tableau, Microsoft Fabric, and techniques like predictive analytics and ETL, you can turn data into actionable insights. Let’s dive deep into how you can master data analysis step by step and build a strong career in this exciting field. What is Data Analysis? At its core, data analysis is the process of cleaning, transforming, and interpreting data to find meaningful patterns and insights. Businesses use it to forecast sales. Doctors use it to track patient health. Governments use it to make policies. In short, data analysis fuels smarter decisions everywhere. Core Skills Every Data Analyst Must Have A great analyst isn’t just about technical tools. You need: Technical Skills :...