What You Will Learn

This course covers the fundamental and advanced concepts of data analytics through practical applications. You will learn step-by-step methods to analyze and visualize data.

• Excel: You will start with the Excel interface and learn data entry, formatting, and the use of formulas and functions. You will practice sorting, filtering, and creating pivot tables. You will also explore advanced features like lookup functions and interactive dashboards.
• SQL: You will understand the basics of databases and tables. You will write SQL queries using commands like SELECT and JOIN. You will learn about aggregate functions and performance optimization techniques to create efficient queries.
• Python with Machine Learning: You will learn Python syntax and data types. You will use libraries like Pandas for data analysis and Matplotlib for data visualization. You will explore machine learning concepts, including model training and evaluation metrics, and apply algorithms such as linear regression and decision trees.
• Power BI: You will navigate the Power BI interface and import data. You will practice data transformation using Power Query and create visualizations with charts and graphs. You will learn about DAX functions and building interactive dashboards.
• Tableau: You will familiarize yourself with Tableau's interface and connect to various data sources. You will learn data preparation techniques and create visualizations, including maps and dashboards. You will use advanced features like LOD expressions and storytelling with data.

You will also work on real-world projects, including sales performance dashboards and customer segmentation analysis, using the tools and techniques you learn.