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Course
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Databricks Certified Data Analyst: Analytics Applications
Master key statistical concepts and data analytics techniques. This course will teach you how to apply descriptive statistics, enhance and blend data, and perform last-mile ETL to optimize data for effective analysis and decision-making.
What you'll learn
In today’s data-driven world, professionals need to understand statistical foundations and how to enhance and blend data from multiple sources to derive accurate insights.
In this course, Databricks Certified Data Analyst: Analytics Applications, you’ll gain the skills to apply advanced data analytics techniques, enhance data, and blend it for better analysis.
First, you’ll explore statistics, learning to compare discrete and continuous data, describe descriptive statistics, and understand key statistical measures and moments of data distributions.
Next, you’ll discover data enhancement techniques, identifying scenarios where enhancement improves analysis and learning how to apply enhancements to your datasets.
Finally, you’ll learn how to blend data from multiple sources, applying these techniques in real-world scenarios to improve analytics outcomes, and gaining hands-on experience in performing last-mile ETL for project-specific data enhancement.
When you’re finished with this course, you’ll have the skills and knowledge of data analytics applications in Databricks needed to make data-driven decisions and enhance your analytical capabilities, all while preparing to pursue the Databricks Certified Data Analyst Associate certification, boosting your credibility and expertise in the growing field of data analytics.
Table of contents
About the author
Dr. Yasir Khan is a global tech consultant and 38Labs founder. He's passionate about digital transformation, data & AI, and regularly shares technology insights on Pluralsight.
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