Become A Microsoft Power BI Data Analyst
Become A Microsoft Power BI Data Analyst, available at $49.99, has an average rating of 4.5, with 107 lectures, based on 12 reviews, and has 50 subscribers.
You will learn about Learn how to ingest, clean, transform, and model data Model data for performance and scalability Apply and perform advanced report analytics Explore the different roles in data Identify the tasks that are performed by a data analyst Get data from various data sources Identify and retrieve data from different data sources Understand the connection methods and their performance implications Design and create reports for data analysis Manage and share report assets Create paginated reports This course is ideal for individuals who are Beginner Power BI Data Analyst or Beginner Data Analyst It is particularly useful for Beginner Power BI Data Analyst or Beginner Data Analyst.
Enroll now: Become A Microsoft Power BI Data Analyst
Summary
Title: Become A Microsoft Power BI Data Analyst
Price: $49.99
Average Rating: 4.5
Number of Lectures: 107
Number of Published Lectures: 107
Number of Curriculum Items: 107
Number of Published Curriculum Objects: 107
Original Price: $119.99
Quality Status: approved
Status: Live
What You Will Learn
- Learn how to ingest, clean, transform, and model data
- Model data for performance and scalability
- Apply and perform advanced report analytics
- Explore the different roles in data
- Identify the tasks that are performed by a data analyst
- Get data from various data sources
- Identify and retrieve data from different data sources
- Understand the connection methods and their performance implications
- Design and create reports for data analysis
- Manage and share report assets
- Create paginated reports
Who Should Attend
- Beginner Power BI Data Analyst
- Beginner Data Analyst
Target Audiences
- Beginner Power BI Data Analyst
- Beginner Data Analyst
The Power BI data analyst delivers actionable insights by leveraging available data and applying domain expertise.
The Power BI data analyst collaborates with key stakeholders across verticals to identify business requirements, cleans and transforms the data, and then designs and builds data models by using Power BI.
The Power BI data analyst provides meaningful business value through easy-to-comprehend data visualizations, enables others to perform self-service analytics, and deploys and configures solutions for consumption.
Businesses need data analysis more than ever. In this learning path, you will learn about the life and journey of a data analyst, the skills, tasks, and processes they go through in order to tell a story with data so trusted business decisions can be made. You will learn how the suite of Power BI tools and services are used by a data analyst to tell a compelling story through reports and dashboards, and the need for true BI in the enterprise.
This course will discuss 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. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.
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
Chapter 2: Power BI 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: 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 4: 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 5: Connect, Transform, Visualize and Publish Web Data
Lecture 1: Shaping data
Lecture 2: Connect to Web Data
Lecture 3: Clean & transform data: Part 1
Lecture 4: Clean & transform data: Part 2
Lecture 5: Combine data sources
Lecture 6: Creating Data Visuals: Part 1
Lecture 7: Creating Data Visuals: Part 2
Lecture 8: Publish report to Power BI Service
Chapter 6: Preparing Data in Power BI Desktop
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 CSV file
Lecture 5: Get additional data from csv file
Chapter 7: Clean, transform and load data into Power BI
Lecture 1: Configure the Salesperson Region query
Lecture 2: Configure the Product query
Lecture 3: Configure the Reseller query
Lecture 4: Configure the Region query
Lecture 5: Configure the Sales query
Lecture 6: Configure the Targets query
Lecture 7: Configure the ColorFormats query
Lecture 8: Update the Product query
Lecture 9: 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: Using DAX in Power BI
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
Lecture 7: Create simple Measures
Lecture 8: Create additional measures
Chapter 10: Time Intelligence and Measures
Lecture 1: Create a matrix visual
Lecture 2: Manipulate filter context
Lecture 3: Create a YTD measure
Lecture 4: Create a YoY growth measure
Lecture 5: 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 in Power BI Service
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
Chapter 12: Create Power BI Dashboards
Instructors
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Skill Tree
Skill based learning
Rating Distribution
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- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 5 votes
- 5 stars: 6 votes
Frequently Asked Questions
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