DAX / Power BI – Data Analysis Techniques Part 2 by Randy Minder

This course enhances your data analysis skills using DAX and Power BI, building on concepts from Part 1. It covers ten analytical methods that are essential for mastering data interpretation and decision-making in business contexts.

Key Analytical Techniques Covered

• Cohort Analysis: Learn how to segment data into groups based on shared characteristics over time, allowing for deeper insights into customer behavior and trends.
• Cross-selling Analysis: Discover techniques to identify opportunities for cross-selling products, enhancing revenue by understanding customer purchasing patterns and preferences.
• Pareto Analysis: Master the 80/20 rule to prioritize efforts on the most impactful factors, helping you focus on the key areas that drive results in your business.
• Simple Clustering Analysis: Gain skills in grouping data points based on similarities, which can reveal hidden patterns and relationships within your datasets.

Completing this course will significantly enhance your analytical capabilities, particularly for those preparing for the DA-100 exam.

Who This Course Is For

• Data analysts seeking to deepen their understanding of DAX and Power BI for advanced data analysis techniques.
• Business professionals aiming to leverage data insights for strategic decision-making and performance improvement.
• Students preparing for the DA-100 exam who need to master analytical methods for effective data visualization and reporting.

File Details
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Total Size: 2.7GB

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