image
The Ultimate Drawing Course Beginner to Advanced...
$179
$79
image
User Experience Design Essentials - Adobe XD UI UX...
$179
$79
Total:
$659

Description

Learn to create stunning
Dashboards and Reports using Microsoft's free Business Intelligence / Analytics tool, Power BI.
Do you want to build professional-quality
Business Intelligence Reports
from the ground up ? Do you want to blend and transform raw data into beautiful
Interactive Dashboards
? Do you want to learn design and implement the same B.I. tools used by professional analysts and data scientists ? Do you want to understand the
Business Intelligence workflow
from end-to-end.
 Then Microsoft Power BI is the right tool for you and this comprehensive course will teach you everything you need to know to use Power BI. 
 This hands on (Beginner to Intermediate) course will prepare you to start your data analytics career and also will prepare you to Successfully  implement Power BI in your organization. Absolutely no experience is required.
25+ hours of HD videos
of building 18  interactive
 Business Intelligence Reports and Dashboards (real-world examples) 
from 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 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
Course Curriculum:
Section 1: Business intelligence -
Introduction to Power BI
Business Analysis - Course Introduction
Thank you for enrolling - Must watch
Dashboard-in-a-day & Power BI Best Practices Introduction
Power Bi Introduction - 0
Power Bi Introduction - 1
Power Bi Introduction - 2
Why Microsoft Power BI
Power BI Family
Power BI Desktop
Power BI Service 1
Power BI Service 2
Descriptive-Predictive-Prescriptive Analytics
IT Challenges 0
IT Challenges 1
How to take the quizzes
Section 2: Data Analysis and Business Intelligence - Collect , Injest and  Import Data
Download Data files first
Import data from CSV files
Import data from Excel files
Import data from Web 1
Import data from Web 2
Import Real-time Streaming Data
Download and Install SQL Server Express
Download and Install Sample Databases
Import data from SQL Server
Import data from OData feed REST-API
Import Data from Folder
Dataflows - Introduction
Dataflows - Create Gateway from Scratch
Dataflows - Create Entities from CSV file
Dataflows - Create Entities Using SQL Server
Section 3: Prep, Clean and Shape Data
Download resources for this section.
Remove Rows
Remove Columns
Make first row as headers
How to create calculate columns
How to remove duplicates,  Unpivot columns and split columns
Change Data type, Replace Values and Rearrange the columns
Append Queries
Merge Queries
Section 4: Power BI Visuals
Download resources for this section.
Visuals Intro
Visuals-Bar Charts
Visuals-Line Charts
Visuals-Pie Chart
Stacked bar Chart
Clustered Column Chart
Visuals-Area Chart and Analytics Tab Explained-0
Visuals-Area Chart and Analytics Tab Explained-1
Visuals-Combo Chart
Visuals-Scatter Chart
Visuals-Treemap Chart
Visuals-funnel Chart
Visuals-Card and Multi-Row Card
Visuals-Gauge Card
Visuals-KPIs
Visuals-Matrix
Visuals-Table
Visuals-Text boxes - Shapes - Images
Visuals-Slicers
Visuals-Maps
Custom Visuals - Word Cloud
Visualization interactions
Section : AI Visuals - ChatGPT and Microsoft CoPilot
AI Visuals - ChatGPT and Microsoft CoPilot (2min)
Decomposition Tree Visual (15 min)
Key Influencers Visual (16 min)
Smart Narrative (12 min)
Q&A Visual (17 min)
Quick Measures with CoPilot (16 min)
Column from Examples (15 min)
New Calculation - Model Tab (25 min)
Field Parameters (7 min)
Bravo Tool (24 min)
ChatGPT - Power BI CoPilot DAX Example (17 min)
ChatGPT - Power BI CoPilot M Code Example (13 min)
Section 5: Data Modeling
Our First Report-0
Our First Report-1
Our First Report-2
Our First Report-3
Publishing and Sharing your first report
Theme Download file
Modeling Basics-0
Modeling Basics-1
Modeling Basics-2
Modeling and Relationships-0
Modeling and Relationships-1
Other ways to create Relationship
Normalization - Denormalization-0
Normalization - Denormalization-1
OLTP vs OLAP
Star Schema vs Snowflake Schema-0
Star Schema vs Snowflake Schema-1
Section 6: Introduction to DAX
DAX101 - Importing Data for Dax Learning
DAX101 - Resources for Dax Learning
DAX101 - What is Dax
DAX101 - Dax Data Types
DAX101 - Dax Operators and Syntax
DAX101 - M vs Dax
DAX101 - Create a Column
DAX101 - Rules to Create Measures
DAX101 - Calculated Columns vs Calculated Measures-0
DAX101 - Calculated Columns vs Calculated Measures-1
DAX101 - Sum()
DAX101 - AVERAGE()-MIN()-MAX()
DAX101 - SUMX()
DAX101 - DIVIDE()
DAX101 - COUNT()-COUNTROWS()
DAX101 - CALCULATE()-0
DAX101 - CALCULATE()-1
DAX101 - FILTER()
DAX101 - ALL()
DAX101 - Time Intelligence - Create Date Table in M (important)
DAX101 - Time Intelligence - Create Date Table in DAX-0
DAX101 - Time Intelligence - Create Date Table in DAX-1
DAX101 - Time Intelligence - PREVIOUSMONTH()
DAX101 - Time Intelligence - SAMEPERIODLASTYEAR()
DAX101 - Time Intelligence - TOTALYTD()
DAX101 - Display Last Refresh Date
DAX101 - Time Intelligence - DATEADD()
DAX101 - Quick Measures
Section 7: Hands-on Real-world Projects
Delicious Pizza
American Bank
Financial Report
Productivity in 2017
Personality
Tough Sport by Skill
Natural Disasters
Terrorism in World
Procurement-spend Analysis
Products Analysis
Regional Analysis
IT Tickets Analysis
Human Resources 1
Human Resources 2
Human Resources 3
Financial Data Report
Sales Analysis
Bank 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: Power BI Service and Dashboards
PowerBI Reports
PowerBI Workspaces
PowerBI Datasets
What are Dashboards
How to create Workspace and Publish Report
Create dashboards 6 different ways-0
Create dashboards 6 different ways-1
Favorite dashboards, reports, and apps in Power BI
Subscribe to a Report or Dashboard
Rename Workspace or Report or Dashboard
Display Reports or Dashboards in Full screen mode
Delete Reports or Dashboards
Dashboard Menus
Quick Insights
Setting up Alerts on Cards
Q-A in Power BI
Analyze in Excel
File and View Options
Printing Dashboard and Reports
Row level security
Access Reports Dashboards using Mobile Devices
Report page tooltip-0
Report page tooltip-1
Filter- Page-Report-Visualization level-0
Filter- Page-Report-Visualization level-1
Section 10: Sharing and Collaboration
Sharing and Collaboration
Sharing Dashboard
Sharing Workspaces
Sharing App
Publish To Web
Section 11: Bonus Lectures
Download Materials
Power BI : Best Practices, Tips and Tricks 0
Power BI : Best Practices, Tips and Tricks 1
Power BI : Best Practices, Tips and Tricks 2
Power BI : Best Practices, Tips and Tricks 3
Power BI : Best Practices, Tips and Tricks 4
Power BI : Best Practices, Tips and Tricks 5
Dashboard-in-a-day : Download Material link
Dashboard-in-a-day : Introduction
Dashboard-in-a-day : Accessing Data
Dashboard-in-a-day : Data Preparation 0
Dashboard-in-a-day : Data Preparation 1
Dashboard-in-a-day : Data modeling and Exploration 0
Dashboard-in-a-day : Data modeling and Exploration 1
Dashboard-in-a-day : Data modeling and Exploration 2
Dashboard-in-a-day : Data modeling and Exploration 3
Dashboard-in-a-day : Data modeling and Exploration 4
Dashboard-in-a-day : Data Visualizations 0
Dashboard-in-a-day : Data Visualizations 1
Dashboard-in-a-day : Publishing Report
Dashboard-in-a-day : Creating Dashboards 0
Dashboard-in-a-day : Creating Dashboards 1
Dashboard-in-a-day : 6 ways to create Dashboards 0
Dashboard-in-a-day : 6 ways to create Dashboards 1
Who this course is for:
Anyone looking to get a job and prepare to start data analytics career.
Entrepreneurs/CEO/Founders looking to master the Data Analysis process.
Students learning in the field of  Data.
Data scientists.
Newbies who are looking to enhance their skill sets in the field of Business Analysis.
Business Analyst and aspiring Business Analyst.
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.

What you'll learn

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

learn how you can visualize that data in a meaningful way to revile insights into your business like never before.

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 how to, with the power of basic DAX, create powerful calculations and comparisons across multiples tables of data.

Learn how to create advanced DAX measures and calculated columns for complex calculations.

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

Learn how to use charts using visuals like column, line, pie, combo, Scatter, Treemap, Funnel, Gauges and KPIs to name a few.

Easily clean the messy data, model your data as per your requirement and format your report to make it look beautiful and professional.

Learn to create powerful tables and matrix of reporting data.

Learn how to use Text Boxes, Shapes, Images, maps, and other visuals.

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

Learn how to use advanced features like Report page tooltips and Bookmarks.

Learn to use Custom Visualizations and Themes in Power BI.

Learn  and develop data modeling skills.

Learn how to automate the cleansing of data.

Learn how to  collaboration and sharing of content on Microsoft's Powerful platform.

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

Learn Dashboard-in-a-day at your own pace at home or at your office.

Learn Power BI Best Practices, Tip and Tricks.

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Business intelligence - Course Introduction
2
1.1-Business Analysis - Course Introduction
1.2-Thank you for enrolling & How to get support
2-What is Business Intelligence and why companies use it
6
2.1-What is Business Intelligence
2.2-Why use Business Intelligence
2.3-What answers Business Intelligence gives a business
2.4-Characteristics of Modern BI Tools
2.5-Factors to consider while buying business intelligence solution
2.6-Descriptive-Predictive-Prescriptive Analytics
3-Introduction to Power BI
10
3.1-Power Bi Introduction - 0
3.2-Power Bi Introduction - 1
3.3-Power Bi Introduction - 2
3.4-Why Microsoft Power BI
3.5-Power BI Family
3.6-Power BI Desktop
3.7-Power BI Service 1
3.8-Power BI Service 2
3.9-IT Challenges 0
3.10-IT Challenges 1
4-Data Analysis and Business Intelligence - Collect , Injest and Import Data
15
4.1-Download Data files first
4.2-Import data from CSV files in Power BI
4.3-Import data from Excel files in Power BI
4.4-Import data from Web 1 in Power BI
4.5-Import data from Web 2 in Power BI
4.6-Import Real-time Streaming Data in Power BI
4.7-Download and Install SQL Server Express
4.8-Download and Install Sample Databases
4.9-Import data from SQL Server in Power BI
4.10-Import data from OData feed REST-API in Power BI
4.11-Import Data from Folder in Power BI
4.12-Dataflows - Introduction
4.13-Dataflows - Create Gateway from Scratch
4.14-Dataflows - Create Entities from CSV file
4.15-Dataflows - Create Entities Using SQL Server
5-Power Query : Prep, Clean and Shape Data
10
5.1-Download resources for this section.
5.2-Remove Rows in Power BI
5.3-Remove Columns in Power BI
5.4-Make first row as headers
5.5-How to create calculate columns
5.6-How to remove duplicates in Power BI
5.7-Unpivot columns and split columns in Power BI
5.8-Change Data type, Replace Values and Rearrange the columns in Power BI
5.9-Append Queries using Power BI
5.10-Merge Queries using Power BI
6-Power BI Visuals
23
6.1-Download resources for this section.
6.2-Visuals Intro
6.3-Visuals-Bar Charts in Power BI
6.4-Visuals-Line Charts in Power BI
6.5-Visuals-Pie Chart in Power BI
6.6-Stacked bar Chart in Power BI
6.7-Clustered Column Chart in Power BI
6.8-Visuals-Area Chart and Analytics Tab Explained-0 in Power BI
6.9-Visuals-Area Chart and Analytics Tab Explained-1 in Power BI
6.10-Visuals-Combo Chart in Power BI
6.11-Visuals-Scatter Chart in Power BI
6.12-Visuals-Treemap Chart in Power BI
6.13-Visuals-funnel Chart in Power BI
6.14-Visuals-Card and Multi-Row Card
6.15-Visuals-Gauge Card in Power BI
6.16-Visuals-KPIs in Power BI
6.17-Visuals-Matrix in Power BI
6.18-Visuals-Table in Power BI
6.19-Visuals-Text boxes - Shapes - Images
6.20-Visuals-Slicers in Power BI
6.21-Visuals-Maps in Power BI
6.22-Custom Visuals - Word Cloud in Power BI
6.23-Visualization interactions in Power BI
7-AI Visuals - ChatGPT and Microsoft CoPilot
12
7.1-AI Visuals - ChatGPT and Microsoft CoPilot
7.2-Decomposition Tree Visual
7.3-Key Influencers Visual
7.4-Smart Narrative
7.5-Q&A Visual
7.6-Quick Measures with CoPilot
7.7-Column from Examples
7.8-New Calculation - Model Tab
7.9-Field Parameters
7.10-Bravo Tool
7.11-ChatGPT - Power BI CoPilot DAX Example
7.12-ChatGPT - Power BI CoPilot M Code Example
8-Data Modeling in Power BI
17
8.1-Our First Report-0
8.2-Our First Report-1
8.3-Our First Report-2
8.4-Our First Report-3
8.5-Publishing and Sharing your first report
8.6-Theme Download file
8.7-Modeling Basics-0
8.8-Modeling Basics-1
8.9-Modeling Basics-2
8.10-Modeling and Relationships-0
8.11-Modeling and Relationships-1
8.12-Other ways to create Relationship
8.13-Normalization - Denormalization-0
8.14-Normalization - Denormalization-1
8.15-OLTP vs OLAP
8.16-Star Schema vs Snowflake Schema-0
8.17-Star Schema vs Snowflake Schema-1
9-Introduction to DAX using Power BI
28
9.1-DAX101 - Importing Data for Dax Learning
9.2-DAX101 - Resources for Dax Learning
9.3-DAX101 - What is Dax
9.4-DAX101 - Dax Data Types
9.5-DAX101 - Dax Operators and Syntax
9.6-DAX101 - M vs Dax
9.7-DAX101 - Create a Column
9.8-DAX101 - Rules to Create Measures
9.9-DAX101 - Calculated Columns vs Calculated Measures-0
9.10-DAX101 - Calculated Columns vs Calculated Measures-1
9.11-DAX101 - Sum()
9.12-DAX101 - AVERAGE()-MIN()-MAX()
9.13-DAX101 - SUMX()
9.14-DAX101 - DIVIDE()
9.15-DAX101 - COUNT()-COUNTROWS()
9.16-DAX101 - CALCULATE()-0
9.17-DAX101 - CALCULATE()-1
9.18-DAX101 - FILTER()
9.19-DAX101 - ALL()
9.20-DAX101 - Time Intelligence - Create Date Table in M (important)
9.21-DAX101 - Time Intelligence - Create Date Table in DAX-0
9.22-DAX101 - Time Intelligence - Create Date Table in DAX-1
9.23-DAX101 - Time Intelligence - SAMEPERIODLASTYEAR()
9.24-DAX101 - Time Intelligence - TOTALYTD()
9.25-DAX101 - Display Last Refresh Date
9.26-DAX101 - Time Intelligence - PREVIOUSMONTH()
9.27-DAX101 - Time Intelligence - DATEADD()
9.28-DAX101 - Quick Measures
10-Hands-on Real-world Projects
71
10.1-Delicious Pizza Report-0
10.2-Delicious Pizza Report-1
10.3-Delicious Pizza Report-2
10.4-Abank Bank Report-0
10.5-Abank Bank Report-1
10.6-Abank Bank Report-2
10.7-Abank - Create phone layout
10.8-Financial Report-0
10.9-Financial Report-1
10.10-Financial Report-2
10.11-Financial Report-3
10.12-Financial Report-4
10.13-Financial Report-5 & Analytics tab explained
10.14-Personality and looks-0
10.15-Personality and looks-1
10.16-Personality and looks-2
10.17-Productivity Survey by Microsoft Office Team-0
10.18-Productivity Survey by Microsoft Office Team-1
10.19-Productivity Survey by Microsoft Office Team-2
10.20-Productivity Survey by Microsoft Office Team-3
10.21-Productivity Survey by Microsoft Office Team-4
10.22-Toughest Sport by Skills-0
10.23-Toughest Sport by Skills-1
10.24-Toughest Sport by Skills-2
10.25-Natural Disasters-0
10.26-Natural Disasters-1
10.27-Natural Disasters-2
10.28-Natural Disasters-3
10.29-Please watch this first
10.30-Adv - Procurement-Spend Analysis-0
10.31-Adv - Procurement-Spend Analysis-1
10.32-Adv - Procurement-Spend Analysis-2
10.33-Adv - Procurement-Spend Analysis-3
10.34-Adv - Procurement-Spend Analysis-4
10.35-Adv - Product Analysis-0
10.36-Adv - Product Analysis-1
10.37-Adv - Product Analysis-2
10.38-Adv - Product Analysis-3
10.39-Adv - Regional Analysis-0
10.40-Adv - Regional Analysis-1
10.41-Adv - Regional Analysis-2
10.42-Adv - Regional Analysis-3
10.43-Adv - Regional Analysis-4
10.44-Adv - IT-Tickets Analysis-0
10.45-Adv - IT-Tickets Analysis-1
10.46-Adv - IT-Tickets Analysis-2
10.47-Adv - IT-Tickets Analysis-3
10.48-Adv - IT-Tickets Analysis-4
10.49-Adv - Human Resources 1-0
10.50-Adv - Human Resources 1-1
10.51-Adv - Human Resources 1-2
10.52-Adv - Human Resources 1-3
10.53-Adv - Human Resources 2-0
10.54-Adv - Human Resources 2-1
10.55-Adv - Human Resources 2-2
10.56-Adv - Human Resources 3-0
10.57-Adv - Human Resources 3-1
10.58-Adv - Human Resources 3-2
10.59-Adv - Financial Report-0
10.60-Adv - Financial Report-1
10.61-Adv - Financial Report-2
10.62-Adv - Financial Report-3
10.63-Adv - Financial Report-4
10.64-Adv - Sales Report-0
10.65-Adv - Sales Report-1
10.66-Adv - Sales Report-2
10.67-Adv - Bank Report-0
10.68-Adv - Bank Report-1
10.69-Adv - Bank Report-2
10.70-Adv - Bank Report-3
10.71-Adv - Bank Report-4
11-Personal - Enterprise Gateway
5
11.1-On-Premises Gateway in Power BI
11.2-Personal vs Enterprise Gateway
11.3-Install and Configure Personal Gateway in Power BI
11.4-Install and Configure Enterprise Gateway
11.5-Manage SQL Server Data Source thru Enterprise Gateway
12-Power BI Service and Dashboards
25
12.1-PowerBI Reports in Power BI
12.2-PowerBI Workspaces in Power BI
12.3-PowerBI Datasets in Power BI
12.4-What are Dashboards in Power BI
12.5-How to create Workspace and Publish Report in Power BI
12.6-Create dashboards 6 different ways-0 in Power BI
12.7-Create dashboards 6 different ways-1 in Power BI
12.8-Favorite dashboards, reports, and apps in Power BI in Power BI
12.9-Subscribe to a Report or Dashboard in Power BI
12.10-Rename Workspace or Report or Dashboard in Power BI
12.11-Display Reports or Dashboards in Full screen mode in Power BI
12.12-Delete Reports or Dashboards in Power BI
12.13-Dashboard Menus
12.14-Quick Insights in Power BI
12.15-Setting up Alerts on Cards
12.16-Q-A in Power BI
12.17-Analyze in Excel in Power BI
12.18-File and View Options in Power BI
12.19-Printing Dashboard and Reports in Power BI
12.20-Row level security in Power BI
12.21-Access Reports Dashboards using Mobile Devices in Power BI
12.22-Report page tooltip-0 in Power BI
12.23-Report page tooltip-1 in Power BI
12.24-Filter- Page-Report-Visualization level-0 in Power BI
12.25-Filter- Page-Report-Visualization level-1 in Power BI
13-Row Level Security in Power BI
10
13.1-PATH Function in Power BI
13.2-PATHCONTAINS Function in Power BI
13.3-PATHITEM Function in Power BI
13.4-PATHITEMREVERSE Function in Power BI
13.5-PATHLENGTH Function in Power BI
13.6-RLS - Static Row Level Security in Power BI
13.7-RLS - Dynamic Row Level Security in Power BI
13.8-RLS - Organizational Hierarchy 1 in Power BI
13.9-RLS - Organizational Hierarchy 2 in Power BI
13.10-RLS - Organizational Hierarchy 3 in Power BI
14-Sharing and Collaboration in Power BI
5
14.1-Sharing and Collaboration in Power BI
14.2-Sharing Dashboard in Power BI
14.3-Sharing Workspaces in Power BI
14.4-Sharing App in Power BI
14.5-Publish To Web in Power BI
15-Bonus Lectures
24
15.1-Download Materials
15.2-Power BI : Best Practices, Tips and Tricks 0
15.3-Power BI : Best Practices, Tips and Tricks 1
15.4-Power BI : Best Practices, Tips and Tricks 2
15.5-Power BI : Best Practices, Tips and Tricks 3
15.6-Power BI : Best Practices, Tips and Tricks 4
15.7-Power BI : Best Practices, Tips and Tricks 5
15.8-Dashboard-in-a-day : Download Material link
15.9-Dashboard-in-a-day : Introduction
15.10-Dashboard-in-a-day : Accessing Data
15.11-Dashboard-in-a-day : Data Preparation 0
15.12-Dashboard-in-a-day : Data Preparation 1
15.13-Dashboard-in-a-day : Data modeling and Exploration 0
15.14-Dashboard-in-a-day : Data modeling and Exploration 1
15.15-Dashboard-in-a-day : Data modeling and Exploration 2
15.16-Dashboard-in-a-day : Data modeling and Exploration 3
15.17-Dashboard-in-a-day : Data modeling and Exploration 4
15.18-Dashboard-in-a-day : Data Visualizations 0
15.19-Dashboard-in-a-day : Data Visualizations 1
15.20-Dashboard-in-a-day : Publishing Report
15.21-Dashboard-in-a-day : Creating Dashboards 0
15.22-Dashboard-in-a-day : Creating Dashboards 1
15.23-Dashboard-in-a-day : 6 ways to create Dashboards 0
15.24-Dashboard-in-a-day : 6 ways to create Dashboards 1
16-Mega searchable tutorials on Power BI, DAX, SQL and Power Query
1
16.1-Mega searchable tutorials on Power BI, DAX, SQL and Power Query
17-Final Words
1
17.1-Congratulations ! You made it