Become A Microsoft Power BI Data Analyst
Become A Microsoft Power BI Data Analyst, available at $54.99, with 108 lectures, and has 4 subscribers.
You will learn about Ingest, clean, and transform data Design and create reports for data analysis Create paginated reports in Power BI Model Data in Power BI Desktop Connect to data sources from Power BI Create calculated columns with DAX formulas Create measures with DAX formulas Design and Publish Reports in Power BI Create Power BI Dashboards Create an animated scatter chart Work with a decomposition tree This course is ideal for individuals who are Data professionals or Business intelligence professionals or Beginner Power BI Data Analyst or Beginner Data Analyst or Beginner Data Scientist It is particularly useful for Data professionals or Business intelligence professionals or Beginner Power BI Data Analyst or Beginner Data Analyst or Beginner Data Scientist.
Enroll now: Become A Microsoft Power BI Data Analyst
Summary
Title: Become A Microsoft Power BI Data Analyst
Price: $54.99
Number of Lectures: 108
Number of Published Lectures: 108
Number of Curriculum Items: 108
Number of Published Curriculum Objects: 108
Original Price: $124.99
Quality Status: approved
Status: Live
What You Will Learn
- Ingest, clean, and transform data
- Design and create reports for data analysis
- Create paginated reports in Power BI
- Model Data in Power BI Desktop
- Connect to data sources from Power BI
- Create calculated columns with DAX formulas
- Create measures with DAX formulas
- Design and Publish Reports in Power BI
- Create Power BI Dashboards
- Create an animated scatter chart
- Work with a decomposition tree
Who Should Attend
- Data professionals
- Business intelligence professionals
- Beginner Power BI Data Analyst
- Beginner Data Analyst
- Beginner Data Scientist
Target Audiences
- Data professionals
- Business intelligence professionals
- Beginner Power BI Data Analyst
- Beginner Data Analyst
- Beginner Data Scientist
This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. This course will also show how to build paginated reports .
The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.
Prerequisites
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Understanding core data concepts.
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Knowledge of working with relational data.
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Knowledge of working with non-relational data
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Knowledge of data analysis and visualization concepts.
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Understanding of Power BI is recommended
What You Will Learn
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How to Ingest, clean, and transform data
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How to Model data for performance and scalability
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How to Design and create reports for data analysis
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How to Apply and perform advanced report analytics
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How to use DAX to create measures
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How to Manage and share report assets
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How to Create paginated reports in Power BI Report Builder
Course Curriculum
Chapter 1: Get Started with Microsoft Data Analytics
Lecture 1: Introduction
Lecture 2: What is Microsoft Data Analytics
Lecture 3: Overview of Data Analysis
Lecture 4: Roles in Data Analysis
Lecture 5: Tasks of a Data Analyst
Lecture 6: Overview of how to Become A Microsoft Power BI Data Analyst
Chapter 2: Power BI Setup and Microsoft 365 Setup
Lecture 1: What is Power BI
Lecture 2: What is Power BI Desktop
Lecture 3: Install Power BI Desktop
Lecture 4: Exploring Power BI Desktop Interface
Lecture 5: Microsoft 365 Setup
Lecture 6: Getting started with Microsoft 365
Lecture 7: Creating a new user account in Microsoft 365
Chapter 3: Overview of Power BI
Lecture 1: Power BI Overview: Part 1
Lecture 2: Power BI Overview: Part 2
Lecture 3: Power BI Overview: Part 3
Lecture 4: Changing regional settings
Lecture 5: Parts of Power BI
Lecture 6: Power BI Building blocks
Lecture 7: Exploring Power BI Service
Chapter 4: Connect, Transform, Visualize and Publish Web Data
Lecture 1: Connect to Web Data
Lecture 2: Clean & transform data: Part 1
Lecture 3: Clean & transform data: Part 2
Lecture 4: Combine data sources
Lecture 5: Creating Data Visuals: Part 1
Lecture 6: Creating Data Visuals: Part 2
Lecture 7: Publish report to Power BI Service
Chapter 5: Microsoft SQL Server Setup
Lecture 1: What is SQL Server
Lecture 2: SQL Server Editions
Lecture 3: SQL Server Installation Requirements
Lecture 4: Download SQL Server
Lecture 5: SQL Server Installation
Lecture 6: SQL Server Configuration Manager
Lecture 7: Installing SQL Server Management Studio
Lecture 8: Connect to SQL Server with SSMS
Lecture 9: Restore AdventureWorksDW2020 Database
Chapter 6: Connect to data sources from Power BI
Lecture 1: Create a new Power BI Desktop file
Lecture 2: Set Power BI Desktop Options
Lecture 3: Get data from a relational database (SQL Server)
Lecture 4: Get data from files ( CSV)
Lecture 5: Get additional data from files ( CSV)
Chapter 7: Clean, transform and load data into Power BI
Lecture 1: Configure the Salesperson Region query
Lecture 2: Configure the SalespersonRegion query
Lecture 3: Configure the Product query
Lecture 4: Configure the Reseller query
Lecture 5: Configure the Region query
Lecture 6: Configure the Sales query
Lecture 7: Configure the Targets query
Lecture 8: Configure the ColorFormats query
Lecture 9: Update the Product query
Lecture 10: Update the ColorFormats query
Chapter 8: Model Data in Power BI Desktop
Lecture 1: Create Model Relationships
Lecture 2: Configure the Product table
Lecture 3: Configure the Region table
Lecture 4: Configure the Reseller table
Lecture 5: Configure the Sales table
Lecture 6: Bulk update properties
Lecture 7: Review the model interface
Lecture 8: Create quick measures
Lecture 9: Create a many-to-many relationship
Lecture 10: Relate the Targets Table
Lecture 11: Enforce row-level security
Chapter 9: Working with DAX in Power BI Desktop
Lecture 1: What is DAX
Lecture 2: Create the Salesperson Calculated table
Lecture 3: Create the Date calculated table
Lecture 4: Create calculated columns
Lecture 5: Complete the Date table
Lecture 6: Mark the Date table
Chapter 10: Time Intelligence and Measures
Lecture 1: Create simple Measures
Lecture 2: Create additional measures
Lecture 3: Create a matrix visual
Lecture 4: Manipulate filter context
Lecture 5: Create a YTD measure
Lecture 6: Create a YoY growth measure
Lecture 7: Publish Power BI Desktop File
Chapter 11: Design and Publish Reports in Power BI
Lecture 1: Create a new file
Lecture 2: Create a live connection
Lecture 3: Design page 1
Lecture 4: Design page 2
Lecture 5: Design page 3
Lecture 6: Publish report
Lecture 7: Explore the report
Lecture 8: Configure Sync Slicers
Lecture 9: Configure drill through page
Lecture 10: Add Conditional Formatting
Lecture 11: Add Bookmarks to Report
Lecture 12: Add Buttons to Report
Lecture 13: Publish Updated Report
Lecture 14: Explore Updated Report
Instructors
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Digital Learning Academy
Digital learning 24 /7
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