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Introduction to Data Analysis with Microsoft Power BI

 Introduction to Data Analysis with Microsoft Power BI
Udemy Course Introduction to Data Analysis with Microsoft Power BI | NED
Learn Introduction to Data Analytics Using Power BI Online and Power BI Desktop Power BI ( Microsoft Business Intelligence) offers basic data wrangling capabilities similar to Excel's Power Query. It also lets you create interactive visualizations, reports and dashboards with a few clicks or drag-and-drops; type natural-language questions about
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 by Ian Littlejohn

What you'll learn
  • Transform Data into INSIGHT and INTELLIGENCE using powerful methods of analysis, techniques and tools
  • Learn 10 different techniques for DATA ANALYSIS that can be easily implemented in Microsoft Power BI
  • LIFE TIME ACCESS to course materials and practice activities from a BEST SELLING Udemy instructor
  • Learn to ask the RIGHT questions of your data using comparison, trend, ranking, variance and many other techniques
  • Learn BEST practices for data analysis and data presentation
  • Learn BEST practices for the design and setup of INTERACTIVE dashboards
Description

This course is lead by Ian Littlejohn - an international trainer, consultant and data analyst with over 65 000 enrollments on Udemy and consistently high reviews. Ian specialises in teaching data analysis techniques, Excel Pivot Tables, Power Pivot, Microsoft Power BI and Google Data Studio.

**** Life time access to course materials and practice activities. 100% money back guarantee ****

Introduction to Data Analysis with Microsoft Power BI teaches you how to apply different methods of data analysis to turn your data into new insight and intelligence.

The ability to ask questions of your data is a powerful competitive advantage, resulting in new income streams, better decision making and improved productivity. A recent McKinsey Consulting report has identified that data analysis is one of the most important skills required in the global economy at the current time.

During the course you will understand why the form of analysis is important and also provide examples of analysis using Power BI:

The following methods of analysis are included:
  1. Preparing Data for analysis
  2. Key Metrics
  3. Comparison Analysis
  4. Trend Analysis
  5. Ranking Analysis
  6. Interactive Dashboards
  7. Contribution Analysis
  8. Variance Analysis
  9. Frequency Analysis
  10. Correlation Analysis
  11. Table Summary and Relationships
Introduction to Data Analysis with Microsoft Power BI is designed for all business professionals who want to take their ability to turn data into information to the next level. If you are an Excel user then you will want to learn the easy to use techniques that are taught in this course.
Who this course is for:

    Excel and Power BI users who create reports or analyze data

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