Power BI – Business Intelligence for Beginners to Advance
Power BI – Business Intelligence for Beginners to Advance, available at $109.99, has an average rating of 4.42, with 265 lectures, based on 13262 reviews, and has 63042 subscribers.
You will learn about 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. 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 Students learning in the field of Data. or Data scientists. or Newbies who are looking to enhance their skill sets in the field of Business Analysis. or Business Analyst and aspiring Business Analyst. or Business Analyst in charge of automation efforts or Enthusiastic quality professionals who are NEW to the Business 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 Students learning in the field of Data. or Data scientists. or Newbies who are looking to enhance their skill sets in the field of Business Analysis. or Business Analyst and aspiring Business Analyst. or Business Analyst in charge of automation efforts or Enthusiastic quality professionals who are NEW to the Business 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 Intelligence for Beginners to Advance
Summary
Title: Power BI – Business Intelligence for Beginners to Advance
Price: $109.99
Average Rating: 4.42
Number of Lectures: 265
Number of Published Lectures: 265
Number of Curriculum Items: 265
Number of Published Curriculum Objects: 265
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will 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.
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.
- 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.
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.
- 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.
Learn to create stunningDashboards 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 workflowfrom 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?
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Salary. A Business Data Analyst is a well-paid career
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Stable Career. As most corporations gathering more and more data. There will never be shortage of Jobs for Business Data Analyst.
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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 –
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Introduction to Power BI
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Business Analysis – Course Introduction
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Thank you for enrolling – Must watch
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Dashboard-in-a-day & Power BI Best Practices Introduction
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Power Bi Introduction – 0
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Power Bi Introduction – 1
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Power Bi Introduction – 2
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Why Microsoft Power BI
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Power BI Family
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Power BI Desktop
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Power BI Service 1
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Power BI Service 2
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Descriptive-Predictive-Prescriptive Analytics
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IT Challenges 0
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IT Challenges 1
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How to take the quizzes
Section 2: Data Analysis and Business Intelligence – Collect , Injest and Import Data
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Download Data files first
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Import data from CSV files
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Import data from Excel files
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Import data from Web 1
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Import data from Web 2
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Import Real-time Streaming Data
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Download and Install SQL Server Express
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Download and Install Sample Databases
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Import data from SQL Server
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Import data from OData feed REST-API
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Import Data from Folder
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Dataflows – Introduction
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Dataflows – Create Gateway from Scratch
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Dataflows – Create Entities from CSV file
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Dataflows – Create Entities Using SQL Server
Section 3: Prep, Clean and Shape Data
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Download resources for this section.
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Remove Rows
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Remove Columns
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Make first row as headers
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How to create calculate columns
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How to remove duplicates, Unpivot columns and split columns
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Change Data type, Replace Values and Rearrange the columns
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Append Queries
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Merge Queries
Section 4: Power BI Visuals
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Download resources for this section.
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Visuals Intro
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Visuals-Bar Charts
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Visuals-Line Charts
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Visuals-Pie Chart
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Stacked bar Chart
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Clustered Column Chart
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Visuals-Area Chart and Analytics Tab Explained-0
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Visuals-Area Chart and Analytics Tab Explained-1
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Visuals-Combo Chart
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Visuals-Scatter Chart
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Visuals-Treemap Chart
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Visuals-funnel Chart
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Visuals-Card and Multi-Row Card
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Visuals-Gauge Card
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Visuals-KPIs
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Visuals-Matrix
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Visuals-Table
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Visuals-Text boxes – Shapes – Images
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Visuals-Slicers
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Visuals-Maps
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Custom Visuals – Word Cloud
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Visualization interactions
Section : AI Visuals – ChatGPT and Microsoft CoPilot
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AI Visuals – ChatGPT and Microsoft CoPilot (2min)
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Decomposition Tree Visual (15 min)
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Key Influencers Visual (16 min)
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Smart Narrative (12 min)
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Q&A Visual (17 min)
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Quick Measures with CoPilot (16 min)
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Column from Examples (15 min)
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New Calculation – Model Tab (25 min)
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Field Parameters (7 min)
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Bravo Tool (24 min)
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ChatGPT – Power BI CoPilot DAX Example (17 min)
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ChatGPT – Power BI CoPilot M Code Example (13 min)
Section 5: Data Modeling
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Our First Report-0
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Our First Report-1
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Our First Report-2
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Our First Report-3
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Publishing and Sharing your first report
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Theme Download file
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Modeling Basics-0
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Modeling Basics-1
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Modeling Basics-2
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Modeling and Relationships-0
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Modeling and Relationships-1
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Other ways to create Relationship
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Normalization – Denormalization-0
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Normalization – Denormalization-1
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OLTP vs OLAP
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Star Schema vs Snowflake Schema-0
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Star Schema vs Snowflake Schema-1
Section 6: Introduction to DAX
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DAX101 – Importing Data for Dax Learning
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DAX101 – Resources for Dax Learning
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DAX101 – What is Dax
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DAX101 – Dax Data Types
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DAX101 – Dax Operators and Syntax
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DAX101 – M vs Dax
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DAX101 – Create a Column
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DAX101 – Rules to Create Measures
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DAX101 – Calculated Columns vs Calculated Measures-0
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DAX101 – Calculated Columns vs Calculated Measures-1
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DAX101 – Sum()
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DAX101 – AVERAGE()-MIN()-MAX()
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DAX101 – SUMX()
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DAX101 – DIVIDE()
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DAX101 – COUNT()-COUNTROWS()
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DAX101 – CALCULATE()-0
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DAX101 – CALCULATE()-1
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DAX101 – FILTER()
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DAX101 – ALL()
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DAX101 – Time Intelligence – Create Date Table in M (important)
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DAX101 – Time Intelligence – Create Date Table in DAX-0
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DAX101 – Time Intelligence – Create Date Table in DAX-1
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DAX101 – Time Intelligence – PREVIOUSMONTH()
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DAX101 – Time Intelligence – SAMEPERIODLASTYEAR()
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DAX101 – Time Intelligence – TOTALYTD()
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DAX101 – Display Last Refresh Date
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DAX101 – Time Intelligence – DATEADD()
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DAX101 – Quick Measures
Section 7: Hands-on Real-world Projects
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Delicious Pizza
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American Bank
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Financial Report
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Productivity in 2017
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Personality
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Tough Sport by Skill
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Natural Disasters
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Terrorism in World
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Procurement-spend Analysis
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Products Analysis
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Regional Analysis
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IT Tickets Analysis
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Human Resources 1
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Human Resources 2
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Human Resources 3
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Financial Data Report
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Sales Analysis
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Bank Report
Section 8: Personal – Enterprise Gateway
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On-Premises Gateway
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Personal vs Enterprise Gateway
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Install and Configure Personal Gateway
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Install and Configure Enterprise Gateway
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Manage SQL Server Data Source thru Enterprise Gateway
Section 9: Power BI Service and Dashboards
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PowerBI Reports
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PowerBI Workspaces
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PowerBI Datasets
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What are Dashboards
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How to create Workspace and Publish Report
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Create dashboards 6 different ways-0
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Create dashboards 6 different ways-1
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Favorite dashboards, reports, and apps in Power BI
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Subscribe to a Report or Dashboard
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Rename Workspace or Report or Dashboard
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Display Reports or Dashboards in Full screen mode
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Delete Reports or Dashboards
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Dashboard Menus
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Quick Insights
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Setting up Alerts on Cards
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Q-A in Power BI
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Analyze in Excel
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File and View Options
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Printing Dashboard and Reports
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Row level security
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Access Reports Dashboards using Mobile Devices
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Report page tooltip-0
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Report page tooltip-1
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Filter- Page-Report-Visualization level-0
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Filter- Page-Report-Visualization level-1
Section 10: Sharing and Collaboration
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Sharing and Collaboration
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Sharing Dashboard
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Sharing Workspaces
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Sharing App
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Publish To Web
Section 11: Bonus Lectures
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Download Materials
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Power BI : Best Practices, Tips and Tricks 0
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Power BI : Best Practices, Tips and Tricks 1
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Power BI : Best Practices, Tips and Tricks 2
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Power BI : Best Practices, Tips and Tricks 3
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Power BI : Best Practices, Tips and Tricks 4
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Power BI : Best Practices, Tips and Tricks 5
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Dashboard-in-a-day : Download Material link
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Dashboard-in-a-day : Introduction
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Dashboard-in-a-day : Accessing Data
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Dashboard-in-a-day : Data Preparation 0
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Dashboard-in-a-day : Data Preparation 1
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Dashboard-in-a-day : Data modeling and Exploration 0
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Dashboard-in-a-day : Data modeling and Exploration 1
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Dashboard-in-a-day : Data modeling and Exploration 2
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Dashboard-in-a-day : Data modeling and Exploration 3
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Dashboard-in-a-day : Data modeling and Exploration 4
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Dashboard-in-a-day : Data Visualizations 0
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Dashboard-in-a-day : Data Visualizations 1
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Dashboard-in-a-day : Publishing Report
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Dashboard-in-a-day : Creating Dashboards 0
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Dashboard-in-a-day : Creating Dashboards 1
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Dashboard-in-a-day : 6 ways to create Dashboards 0
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Dashboard-in-a-day : 6 ways to create Dashboards 1
Course Curriculum
Chapter 1: Business intelligence – Course Introduction
Lecture 1: Business Analysis – Course Introduction
Lecture 2: 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: Descriptive-Predictive-Prescriptive Analytics
Chapter 3: Introduction to Power BI
Lecture 1: Power Bi Introduction – 0
Lecture 2: Power Bi Introduction – 1
Lecture 3: Power Bi Introduction – 2
Lecture 4: Why Microsoft Power BI
Lecture 5: Power BI Family
Lecture 6: Power BI Desktop
Lecture 7: Power BI Service 1
Lecture 8: Power BI Service 2
Lecture 9: IT Challenges 0
Lecture 10: IT Challenges 1
Chapter 4: Data Analysis and Business Intelligence – Collect , Injest and Import Data
Lecture 1: Download Data files first
Lecture 2: Import data from CSV files in Power BI
Lecture 3: Import data from Excel files in Power BI
Lecture 4: Import data from Web 1 in Power BI
Lecture 5: Import data from Web 2 in Power BI
Lecture 6: Import Real-time Streaming Data in Power BI
Lecture 7: Download and Install SQL Server Express
Lecture 8: Download and Install Sample Databases
Lecture 9: Import data from SQL Server in Power BI
Lecture 10: Import data from OData feed REST-API in Power BI
Lecture 11: Import Data from Folder in Power BI
Lecture 12: Dataflows – Introduction
Lecture 13: Dataflows – Create Gateway from Scratch
Lecture 14: Dataflows – Create Entities from CSV file
Lecture 15: Dataflows – Create Entities Using SQL Server
Chapter 5: Power Query : Prep, Clean and Shape Data
Lecture 1: Download resources for this section.
Lecture 2: Remove Rows in Power BI
Lecture 3: Remove Columns in Power BI
Lecture 4: Make first row as headers
Lecture 5: How to create calculate columns
Lecture 6: How to remove duplicates in Power BI
Lecture 7: Unpivot columns and split columns in Power BI
Lecture 8: Change Data type, Replace Values and Rearrange the columns in Power BI
Lecture 9: Append Queries using Power BI
Lecture 10: Merge Queries using Power BI
Chapter 6: Power BI Visuals
Lecture 1: Download resources for this section.
Lecture 2: Visuals Intro
Lecture 3: Visuals-Bar Charts in Power BI
Lecture 4: Visuals-Line Charts in Power BI
Lecture 5: Visuals-Pie Chart in Power BI
Lecture 6: Stacked bar Chart in Power BI
Lecture 7: Clustered Column Chart in Power BI
Lecture 8: Visuals-Area Chart and Analytics Tab Explained-0 in Power BI
Lecture 9: Visuals-Area Chart and Analytics Tab Explained-1 in Power BI
Lecture 10: Visuals-Combo Chart in Power BI
Lecture 11: Visuals-Scatter Chart in Power BI
Lecture 12: Visuals-Treemap Chart in Power BI
Lecture 13: Visuals-funnel Chart in Power BI
Lecture 14: Visuals-Card and Multi-Row Card
Lecture 15: Visuals-Gauge Card in Power BI
Lecture 16: Visuals-KPIs in Power BI
Lecture 17: Visuals-Matrix in Power BI
Lecture 18: Visuals-Table in Power BI
Lecture 19: Visuals-Text boxes – Shapes – Images
Lecture 20: Visuals-Slicers in Power BI
Lecture 21: Visuals-Maps in Power BI
Lecture 22: Custom Visuals – Word Cloud in Power BI
Lecture 23: Visualization interactions in Power BI
Chapter 7: 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: Q&A 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 8: Data Modeling in Power BI
Lecture 1: Our First Report-0
Lecture 2: Our First Report-1
Lecture 3: Our First Report-2
Lecture 4: Our First Report-3
Lecture 5: Publishing and Sharing your first report
Lecture 6: Theme Download file
Lecture 7: Modeling Basics-0
Lecture 8: Modeling Basics-1
Lecture 9: Modeling Basics-2
Lecture 10: Modeling and Relationships-0
Lecture 11: Modeling and Relationships-1
Lecture 12: Other ways to create Relationship
Lecture 13: Normalization – Denormalization-0
Lecture 14: Normalization – Denormalization-1
Instructors
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BizticsCom King
Passionate data expert in Business Intelligence field.
Rating Distribution
- 1 stars: 194 votes
- 2 stars: 222 votes
- 3 stars: 1350 votes
- 4 stars: 4584 votes
- 5 stars: 6912 votes
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