This Excel Data Analytics Basics course is designed to help learners understand advanced Excel techniques used in data analysis, reporting, and business intelligence. It focuses on practical Excel skills that are widely used in professional data-driven environments.

The course begins with data modeling in Excel and Power Pivot, teaching how to structure data properly for analysis. Learners will also understand how to create and manage relationships between tables, which is essential for building efficient data models.

It then covers Pivot Table techniques, including grouping data and summarizing information for better insights. Students will also learn essential Excel tips and tricks such as multi-level sorting, quick calculations, and advanced data finding methods.

In addition, the course introduces useful formulas and functions such as frequency formulas for unique values and cumulative analysis. It also explains how to split text using multiple delimiters, which is important for cleaning and transforming raw data.

The course includes practical Excel productivity techniques like summing values quickly, extracting data from multiple PDFs, and appending datasets into structured Excel sheets. These skills help improve efficiency in real-world data analysis tasks.

By the end of this course, learners will be able to handle data modeling, perform advanced Excel analysis, and apply practical data transformation techniques. This course is ideal for beginners and professionals who want to improve their Excel data analytics skills.