Power BI Business Scenarios with Hands on Use Cases

Power BI Business Scenarios with Hands on Use Cases, available at $99.99, has an average rating of 4.4, with 220 lectures, based on 722 reviews, and has 6383 subscribers.

You will learn about Learn how to use DAX (Data Analysis Expressions) to get Business Performance, Patterns and Trends from Data Master Power BI Best Practices, Tip, Tricks and Case Studies that you wont find in ANY other course Learn to Create advanced powerful calculations using Measures, calculated columns & DAX Formulas Build business intelligence solutions to Explore and Analyze data like never before Learn DAX TIME-INTELLIGENCE to support the needs of Business Intelligence analysis by manipulate data using time periods Learn to combine multiple data sources for enhanced data analysis Learn Microsofts Popular Course DASHBOARD-IN-A-DAY at your own pace at home or at your office AS A BONUS. Import, consolidate and create relationships from your data and perform enhanced analysis Get LIFETIME access to project files, quizzes and homework exercises, and 1-on-1 expert support Learn to use the easiest Business Intelligence tool to create stunning reports and dashboards. learn how, with Power BI, to connect to multiple sources of data like SQL Server, Excel, CSV, JSON, XML, Web and SQL Analysis Services etc. Learn Dataflows (new CDM base, Azure Data Lake gen2), what it is and how to use and configure databases in it. Learn how to turn data into insight and interactive visualizations to tell a story Learn and develop data modeling skills Learn how to collaboration and sharing of content on Microsofts Powerful platform This hands on course will prepare you to start your data analytics career This course is ideal for individuals who are Anyone looking to get a job and prepare to start data analytics career. or Entrepreneurs/CEO/Founders looking to master the Data Analysis process. or If you want to impress your boss and STANDING OUT from your colleagues and peers or Students learning in the field of? Data. or You want to extend your knowlege in advanced DAX calculations . or Data scientists. or Business Analyst and aspiring Business Analyst. or You want your reports stand out and WOW your audience. or Business Analyst in charge of automation efforts. or Enthusiastic quality professionals who are NEW to the Business. or Analysis and want to take their skills to the next level. or Business Analyst who want to advance their skill set. or Anyone wanting to transition into Business Analyst. It is particularly useful for Anyone looking to get a job and prepare to start data analytics career. or Entrepreneurs/CEO/Founders looking to master the Data Analysis process. or If you want to impress your boss and STANDING OUT from your colleagues and peers or Students learning in the field of? Data. or You want to extend your knowlege in advanced DAX calculations . or Data scientists. or Business Analyst and aspiring Business Analyst. or You want your reports stand out and WOW your audience. or Business Analyst in charge of automation efforts. or Enthusiastic quality professionals who are NEW to the Business. or Analysis and want to take their skills to the next level. or Business Analyst who want to advance their skill set. or Anyone wanting to transition into Business Analyst.

Enroll now: Power BI Business Scenarios with Hands on Use Cases

Summary

Title: Power BI Business Scenarios with Hands on Use Cases

Price: $99.99

Average Rating: 4.4

Number of Lectures: 220

Number of Published Lectures: 220

Number of Curriculum Items: 220

Number of Published Curriculum Objects: 220

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Learn how to use DAX (Data Analysis Expressions) to get Business Performance, Patterns and Trends from Data

Master Power BI Best Practices, Tip, Tricks and Case Studies that you wont find in ANY other course

Learn to Create advanced powerful calculations using Measures, calculated columns & DAX Formulas

Build business intelligence solutions to Explore and Analyze data like never before

Learn DAX TIME-INTELLIGENCE to support the needs of Business Intelligence analysis by manipulate data using time periods

Learn to combine multiple data sources for enhanced data analysis

Learn Microsofts Popular Course DASHBOARD-IN-A-DAY at your own pace at home or at your office AS A BONUS.

Import, consolidate and create relationships from your data and perform enhanced analysis

Get LIFETIME access to project files, quizzes and homework exercises, and 1-on-1 expert support

Learn to use the easiest Business Intelligence tool to create stunning reports and dashboards.

learn how, with Power BI, to connect to multiple sources of data like SQL Server, Excel, CSV, JSON, XML, Web and SQL Analysis Services etc.

Learn Dataflows (new CDM base, Azure Data Lake gen2), what it is and how to use and configure databases in it.

Learn how to turn data into insight and interactive visualizations to tell a story

Learn and develop data modeling skills

Learn how to collaboration and sharing of content on Microsofts Powerful platform

This hands on course will prepare you to start your data analytics career

Who Should Attend

Anyone looking to get a job and prepare to start data analytics career.

Entrepreneurs/CEO/Founders looking to master the Data Analysis process.

If you want to impress your boss and STANDING OUT from your colleagues and peers

Students learning in the field of? Data.

You want to extend your knowlege in advanced DAX calculations .

Data scientists.

Business Analyst and aspiring Business Analyst.

You want your reports stand out and WOW your audience.

Business Analyst in charge of automation efforts.

Enthusiastic quality professionals who are NEW to the Business.

Analysis and want to take their skills to the next level.

Business Analyst who want to advance their skill set.

Anyone wanting to transition into Business Analyst.

Target Audiences

Anyone looking to get a job and prepare to start data analytics career.

Entrepreneurs/CEO/Founders looking to master the Data Analysis process.

If you want to impress your boss and STANDING OUT from your colleagues and peers

Students learning in the field of? Data.

You want to extend your knowlege in advanced DAX calculations .

Data scientists.

Business Analyst and aspiring Business Analyst.

You want your reports stand out and WOW your audience.

Business Analyst in charge of automation efforts.

Enthusiastic quality professionals who are NEW to the Business.

Analysis and want to take their skills to the next level.

Business Analyst who want to advance their skill set.

Anyone wanting to transition into Business Analyst.

Description

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

Companies are gathering more and more data everyday. Skills in data analysis, Business Intelligence / Business Analytics are highly in demand in today’s job market. Microsoft Power BI is an advanced yet easy to use self service Business Intelligence / Business Analytics tool for that. It is same B.I. tools used by professional analysts and data scientists.

In this course together we will go over business scenarios where you will learn, how to use Power BI and advanced / complex DAXcalculations further to derive more insights from data. We are using SQL Server Adventure Works Data warehouse as a sample database. We will hold your hand and walk you thru each scenario Step-by-step.

Not only you will learn Power BI Best Practices, Tip, Tricks and Case Studiesthat you won’t find in ANY other course but also learn Microsoft’s Popular Course DASHBOARD-IN-A-DAY at your own pace at home or at your office AS A BONUS. All of the exercises are designed by keeping the practical aspects of Power BI and DAX in mind. All exercises are 100% hands-on.

25+ hours of HD videos of building Business Scenarios using DAX and 10 interactive Business Intelligence Reports and Dashboardsfrom scratch to finish. Files for Start and Finished projects also included to challenge you so you can learn by immediately applying what you’re learning . You will have gained the knowledge and confidence to apply these same concepts to real-word to solve the Business problems or Business requirements.

By the time you complete this course, You’ll be a highly proficient in DAX and Power BI user. You’ll be fully prepared to collect, clean, model and present data for any purpose. You will be using your skills as a Business Intelligence Professional to extract knowledge from data so you can analyze and visualize complex Business Problems/Requirements with ease.

Why should you consider a career as a Business Data Analyst?

Salary. A Business Data Analyst is a well-paid career

Stable Career. As most corporations gathering more and more data. There will never be shortage of Jobs for Business Data Analyst.

Advancement in Career : Since you will be building different reports for different departments. You will never be bored and always be valued. Which will bring you more opportunities in your career. Business Data Analyst get very visibility in corporations. Whole management depends on them.

#microsoft #powerbi #data #business #intelligence #analysis #DAX

We are covering the following in this course.

Section 1: Advanced Microsoft Power BI Introduction

Advanced Microsoft Power BI Course Introduction

Why Microsoft Power BI

Microsoft Power BI Family

Microsoft Power BI Desktop

Microsoft Power BI Service (Cloud) 1

Microsoft Power BI Service (Cloud) 2

What is Descriptive, Predictive and Prescriptive Analytics

How to take the quizzes

Section 2: Advanced Microsoft Power BI – Collect , In-jest and Import Data

Import Data from CSV files in Microsoft

Import Data from Excel files in Microsoft Power BI Desktop

Import Real-time Streaming Data in Microsoft Power BI Service (Cloud)

Import Data from OData Feed REST-API in

Microsoft Power BI Desktop

Import Data from Folders in Microsoft Power BI Desktop

Section 3: Download and Install SQL Server and Sample Databases

Download and Install SQL Server

Download and Install Sample Database

Import Data from SQL Server in Microsoft Power BI Desktop

Section 4: Introduction to Power BI Dataflows

Power BI Dataflows – Introduction

Power BI Dataflows – Create Gateway from Scratch

Power BI Dataflows – Create Entities from CSV file

Power BI Dataflows – Create Entities using SQL Server

Section 5: Introduction to Data Modeling

Modeling Basics 0

Modeling Basics 1

Modeling Basics 2

Modeling and Relationships 0

Modeling and Relationships 1

Other ways to create Relationships

Normalization – Denationalization 0

Normalization – Denationalization 1

OLTP vs OLAP

Star Schema vs Snowflake Schema 0

Star Schema vs Snowflake Schema 1

Section 6: DAX Basics

DAX Basics – Importing Data for Dax Learning

DAX Basics – Resources for Dax Learning

DAX Basics – What is Dax

DAX Basics – Dax Data Types

DAX Basics – DAX Operators and Syntax

DAX Basics – M vs Dax

DAX Basics – Create a Column

DAX Basics – Rules to Create Measures

DAX Basics – Calculated Columns vs Calculated Measures-0

DAX Basics – Calculated Columns vs Calculated Measures-1

DAX Basics – Sum()

DAX Basics – AVERAGE()-MIN()-MAX()

DAX Basics – SUMX()

DAX Basics – DIVIDE()

DAX Basics – COUNT()-COUNTROWS()

DAX Basics – CALCULATE()-0

DAX Basics – CALCULATE()-1

DAX Basics – FILTER()

DAX Basics – ALL()

Section 7: Hands-on Real-word Projects

Procurement Spend Analysis

Products Analysis

Regional Analysis

IT Tickets Analysis

Human Resources Analysis 1

Human Resources Analysis 2

Human Resources Analysis 3

Financial Analysis

Sales/Marketing Analysis

Bank Demographic Report

Section 8: Personal – Enterprise Gateway On-Premises Gateway

Personal vs Enterprise Gateway

Install and Configure Personal Gateway

Install and Configure Enterprise Gateway

Manage SQL Server Data Source thru Enterprise Gateway

Section 9: Advanced Time-Intelligence

Create Date Table in DAX-0

Create Date Table in DAX-1

Dax Date Code

Create Date Table in M (important) 11min

Date Table Code in M

How to use PREVIOUS Function

How to use SAMEPERIODLASTYEAR Function

How to calculate Cumulative or Running totals TOTALXXX()

How to use DATEADD Function

How to add column DateLastPurchase in Customer Table

How to calculate Days to Ship and Delivery Status

How to calculate Spring-Summer-Autumn-Winter Sales for 2012

How to Calculate Customer Age and use it in charts and graphs

How to calculate Days till last purchase

How to calculate Month-Over-Month values

How to calculate Previous Week Sales

How to calculate Running Total 1

How to calculate Running Total 2

How to calculate sales for last N days

How to calculate Weekend – Weekday sales 1

How to calculate Weekend – Weekday sales 2

How to calculate Year-Over-Year Growth

How to calculate Year-To-Date with Different Fiscal Year

How to Calulate Thanksgiving-BlackFriday-CyberMonday 2 we…

How to compare Quarter over Quarter 01

How to compare Quarter over Quarter 02

How to compare Years-Quarters-Month better way

How to create Short Month Name for Fiscal Year

How to do Grouping and Segmenting 1

How to do Grouping and Segmenting 2

How to use specific relationships if you have more than 1 relationship

DAX – Quick Measures

Display Last Refresh Date

Section 10: Advanced Scenarios

Create new table for Scenarios Measures

How to calculate number of order per customers

How to add calculated column in Employee table

How to add calculated column in Resellers table

How to calculate Customers (using TOPN) for Target Marketing

How to calculate and display Profit Margins

How to calculate and display sales growth

How to calculate how many items bought by Customers Multple times

How to calculate how many Resellers sold specific Item more than 5 times

How to calculate Moving Average 1

How to calculate Moving Average 2

How to calculate number of Products – Customers Sales Trend

How to calculate Profit or Margin Variance Month-Over-Month

How to calculate Trend on Profit for Internet Sales

How to categorize Employees on Sales

How to categorize Re-sellers

How to create Product Segment

How to export measures from Power BI file

How to see top N Products 01 Statically

How to see top N Products 02 Dynamically

How to calculate and show Profits

How to calculate Best Product Sales Day

How to calculate Dynamic TOPN product or Customers

How to calculate Hot Selling Products

How to calculate how many unique Customers bought specific Product

How to calculate how many unique Products bought by each Customer

How to calculate product sales growth

How to calculate Re-seller 01 Sales Growth Year-Over-Year

How to calculate Re-seller 02 Sales Growth Year-Over-Year

How to calculate Revenue Forecast using Analytics Tab

How to calculate Revenue Forecast using What If Parameter

How to calculate Top Employees

How to calculate which Re-seller selling what Products

How to show Products quantity forecast using Analytics Tab

How to show Products quantity forecast using using What If Parameter

How to smooth the trend using Moving Averages

Section 11: Sharing and Collaboration in Power BI

Sharing and Collaboration

Sharing Dashboards

Sharing Workspaces

Sharing Apps

Publish to web

Section 12: Bonus – Power BI Best Practices

Power BI Best Practices 0

Power BI Best Practices 1

Power BI Best Practices 2

Power BI Best Practices 3

Power BI Best Practices 4

Power BI Best Practices 5

Section 13: Bonus – Dashboard-in-a-day (Same as actual Microsoft class)

Power BI Dashboard-in-a-day class 0 – Introduction

Power BI Dashboard-in-a-day class 1 – Accessing Data

Power BI Dashboard-in-a-day class 2 – Data Preparation

Power BI Dashboard-in-a-day class 3 – Data Preparation

Power BI Dashboard-in-a-day class 4 – Modeling and Data Exploration

Power BI Dashboard-in-a-day class 5 – Modeling and Data Exploration

Power BI Dashboard-in-a-day class 6 – Modeling and Data Exploration

Power BI Dashboard-in-a-day class 7 – Modeling and Data Exploration

Power BI Dashboard-in-a-day class 8 – Modeling and Data Exploration

Power BI Dashboard-in-a-day class 9 – Visualization

Power BI Dashboard-in-a-day class 10 – Visualization

Power BI Dashboard-in-a-day class 11 – Publishing Report

Power BI Dashboard-in-a-day class 12 – Creating Dashboards

Power BI Dashboard-in-a-day class 13 – Creating Dashboards

Power BI Dashboard-in-a-day class 14 – Creating Dashboards

Best Regards

Biztics Team

Course Curriculum

Chapter 1: Business Intelligence Course Introduction

Lecture 1: Microsoft Power BI Course Introduction

Lecture 2: Covering AI Visuals, ChatGPT and Microsoft Copilot

Lecture 3: Thank you for enrolling & How to get support

Chapter 2: What is Business Intelligence and why companies use it

Lecture 1: What is Business Intelligence

Lecture 2: Why use Business Intelligence

Lecture 3: What answers Business Intelligence gives a business

Lecture 4: Characteristics of Modern BI Tools

Lecture 5: Factors to consider while buying business intelligence solution

Lecture 6: What is Descriptive, Predictive and Prescriptive Analytics

Chapter 3: Business Intelligence : Microsoft Power BI Introduction

Lecture 1: Why Microsoft Power BI

Lecture 2: Microsoft Power BI Family

Lecture 3: Microsoft Power BI Desktop

Lecture 4: Microsoft Power BI Service (Cloud) 1

Lecture 5: Microsoft Power BI Service (Cloud) 2

Chapter 4: Advanced Microsoft Power BI – Collect , In-jest and Import Data

Lecture 1: Import Data from CSV files in Microsoft Power BI Desktop

Lecture 2: Import Data from Excel files in Microsoft Power BI Desktop

Lecture 3: Import Real-time Streaming Data in Microsoft Power BI Service (Cloud)

Lecture 4: Import Data from OData Feed REST-API in Microsoft Power BI Desktop

Lecture 5: Import Data from Folders in Microsoft Power BI Desktop

Chapter 5: Download and Install SQL Server and Sample Databases

Lecture 1: Download and Install SQL Server

Lecture 2: Download and Install Sample Database

Lecture 3: Import Data from SQL Server in Microsoft Power BI Desktop

Chapter 6: Introduction to Power BI Dataflows

Lecture 1: Power BI Dataflows – Introduction

Lecture 2: Power BI Dataflows – Create Gateway from Scratch

Lecture 3: Power BI Dataflows – Create Entities from CSV file

Lecture 4: Power BI Dataflows – Create Entities using SQL Server

Chapter 7: Introduction to Data Modeling

Lecture 1: Modeling Basics 0

Lecture 2: Modeling Basics 1

Lecture 3: Modeling Basics 2

Lecture 4: Modeling and Relationships 0

Lecture 5: Modeling and Relationships 1

Lecture 6: Other ways to create Relationships

Lecture 7: Normalization – Denationalization 0

Lecture 8: Normalization – Denationalization 1

Lecture 9: OLTP vs OLAP

Lecture 10: Star Schema vs Snowflake Schema 0

Lecture 11: Star Schema vs Snowflake Schema 1

Chapter 8: DAX Basics

Lecture 1: DAX Basics – Importing Data for Dax Learning

Lecture 2: DAX Basics – Resources for Dax Learning

Lecture 3: DAX Basics – What is Dax

Lecture 4: DAX Basics – Dax Data Types

Lecture 5: DAX Basics – DAX Operators and Syntax

Lecture 6: DAX Basics – M vs Dax

Lecture 7: DAX Basics – Create a Column

Lecture 8: DAX Basics – Rules to Create Measures

Lecture 9: DAX Basics – Calculated Columns vs Calculated Measures-0

Lecture 10: DAX Basics – Calculated Columns vs Calculated Measures-1

Lecture 11: DAX Basics – Sum()

Lecture 12: DAX Basics – AVERAGE()-MIN()-MAX()

Lecture 13: DAX Basics – SUMX()

Lecture 14: DAX Basics – DIVIDE()

Lecture 15: DAX Basics – COUNT()-COUNTROWS()

Lecture 16: DAX Basics – CALCULATE()-0

Lecture 17: DAX Basics – CALCULATE()-1

Lecture 18: DAX Basics – FILTER()

Lecture 19: DAX Basics – ALL()

Chapter 9: AI Visuals – ChatGPT and Microsoft CoPilot

Lecture 1: AI Visuals – ChatGPT and Microsoft CoPilot

Lecture 2: Decomposition Tree Visual

Lecture 3: Key Influencers Visual

Lecture 4: Smart Narrative

Lecture 5: QA Visual

Lecture 6: Quick Measures with CoPilot

Lecture 7: Column from Examples

Lecture 8: New Calculation – Model Tab

Lecture 9: Field Parameters

Lecture 10: Bravo Tool

Lecture 11: ChatGPT – Power BI CoPilot DAX Example

Lecture 12: ChatGPT – Power BI CoPilot M Code Example

Chapter 10: Hands-on Real-word Projects

Lecture 1: Adv – Procurement-Spend Analysis-0

Lecture 2: Adv – Procurement-Spend Analysis-1

Lecture 3: Adv – Procurement-Spend Analysis-2

Lecture 4: Adv – Procurement-Spend Analysis-3

Lecture 5: Adv – Procurement-Spend Analysis-4

Lecture 6: Adv – Product Analysis-0

Lecture 7: Adv – Product Analysis-1

Lecture 8: Adv – Product Analysis-2

Lecture 9: Adv – Product Analysis-3

Lecture 10: Adv – Regional Analysis-0

Lecture 11: Adv – Regional Analysis-1

Lecture 12: Adv – Regional Analysis-2

Lecture 13: Adv – Regional Analysis-3

Lecture 14: Adv – Regional Analysis-4

Lecture 15: Adv – IT-Tickets Analysis-0

Lecture 16: Adv – IT-Tickets Analysis-1

Lecture 17: Adv – IT-Tickets Analysis-2

Lecture 18: Adv – IT-Tickets Analysis-3

Lecture 19: Adv – IT-Tickets Analysis-4

Lecture 20: Adv – Human Resources 1-0

Lecture 21: Adv – Human Resources 1-1

Lecture 22: Adv – Human Resources 1-2

Instructors

BizticsCom King
Passionate data expert in Business Intelligence field.

Rating Distribution

1 stars: 31 votes

2 stars: 22 votes

3 stars: 80 votes

4 stars: 239 votes

5 stars: 350 votes

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