Introduction to Data Analysis with Microsoft Power BI

Introduction to Data Analysis  with Microsoft Power BI


Introduction to Data Analysis with Microsoft Power BI
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 2.33 GB
Genre: eLearning Video | Duration: 62 lectures (4 hour, 53 mins) | Language: English
Move beyond BASIC reports and learn data ANALYSIS. Learn to easily turn data into information, insight and intelligence


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

Requirements

You will require Microsoft Power BI Desktop (available for free)
You will require a work email address to create a Power BI account

Description

This course is lead by Ian Littlejohn - an international trainer, consultant and data analyst with over 100 000 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. ****

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:

Preparing Data for analysis

Key Metrics

Comparison Analysis

Trend Analysis

Ranking Analysis

Interactive Dashboards

Contribution Analysis

Variance Analysis

Frequency Analysis

Correlation Analysis

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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