This Excel Analytics course teaches learners techniques for data extraction, cleaning, and modeling. Learners master Power Query for importing and refining data and Power Pivot and DAX for building and managing complex data models. This Excel course also covers creating interactive reports with charts, pivot tables, and automating tasks using VBA macros. Additionally, learners explore Excel’s AI-driven tools, enabling them to perform predictive analyses, conduct What-If scenarios, and leverage natural language processing (NLP) for enhanced decision-making.
The course concludes with a half-day capstone project that allows learners to apply the skills they’ve learned in a practical scenario.
Skills Gained
- Extract and clean data using Power Query from various sources, ensuring high-quality data.
- Build and manage robust data models with Power Pivot and DAX, including relationships, hierarchies, and calculations.
- Create dynamic, interactive reports using charts, pivot tables, and dynamic arrays for effective data visualization.
- Automate repetitive tasks with VBA macros to increase productivity.
- Utilize AI tools in Excel to perform predictive analysis, uncover trends, and enhance decision-making.
Prerequisites
To be successful in this course, learners should have:
- Basic knowledge of Excel, including working with formulas, charts, and tables.
- Familiarity with basic statistical and data analysis concepts is useful but not necessary.