Learning Data Analytics

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This course is a part of Master In-Demand Skills for Technology Leadership, a 22-course Learning Path series from LinkedIn Learning.

Every person who works with data has to perform analytics at some point. This popular training course—dramatically expanded and enhanced for 2018—teaches analysts and non-analysts alike the basics of data analytics and reporting. Robin Hunt defines what data analytics is and what data analysts do. She then shows how to identify your data set—including the data you don't have—and interpret and summarize data. She also shows how to perform specialized tasks such as creating workflow diagrams, cleaning data, and joining data sets for reporting. Coverage continues with best practices for data analytics projects, such as verifying data and conducting effective meetings, and common mistakes to avoid. Then learn techniques for repurposing, charting, and pivoting data. Plus, get helpful productivity-enhancing shortcuts and troubleshooting tips for the most popular data analytics program, Microsoft Excel.

Contents:

• Introduction
• 1. Getting Started with Data Analysis
• 2. Fundamentals of Data Understanding
• 3. Key Elements to Understand When Starting Data Analysis
• 4. Getting Started with a Data Project
• 5. Repurposing Data versus Remanufacturing Data
• 6. Working with Business Data
• 7. Chart Data Anytime and Anywhere
• 8. Pivot Data Anytime and Anywhere
• 9. Excel Tips and Tricks for Data Analysts
• Conclusion