Power BI MasterClass: Learn Data Analytics with Power BI
Power BI MasterClass: Learn Data Analytics with Power BI, available at $39.99, has an average rating of 3.9, with 65 lectures, based on 38 reviews, and has 170 subscribers.
You will learn about Automate Manual reporting Process using Microsoft Power BI Master DAX for Power BI Desktop Create Stunning reports for stakeholders Form Relationships in your data and learn about Data Modelling Transform Datasets from Multiple sources Build Dashboard using COVID_19 Dataset and set up for daily refresh This course is ideal for individuals who are Beginners Interested in Business Intelligence or Beginners interested in Data Analysis or Beginners interested in Data Visualization It is particularly useful for Beginners Interested in Business Intelligence or Beginners interested in Data Analysis or Beginners interested in Data Visualization.
Enroll now: Power BI MasterClass: Learn Data Analytics with Power BI
Summary
Title: Power BI MasterClass: Learn Data Analytics with Power BI
Price: $39.99
Average Rating: 3.9
Number of Lectures: 65
Number of Published Lectures: 65
Number of Curriculum Items: 65
Number of Published Curriculum Objects: 65
Original Price: $22.99
Quality Status: approved
Status: Live
What You Will Learn
- Automate Manual reporting Process using Microsoft Power BI
- Master DAX for Power BI Desktop
- Create Stunning reports for stakeholders
- Form Relationships in your data and learn about Data Modelling
- Transform Datasets from Multiple sources
- Build Dashboard using COVID_19 Dataset and set up for daily refresh
Who Should Attend
- Beginners Interested in Business Intelligence
- Beginners interested in Data Analysis
- Beginners interested in Data Visualization
Target Audiences
- Beginners Interested in Business Intelligence
- Beginners interested in Data Analysis
- Beginners interested in Data Visualization
Have you heard that Data Science is the sexist job of the 21st century? That is because Data Analysts, Business Intelligence Analysts and pretty much anyone working with Data is in high demand. Companies are constantly searching for ways to make better and faster decisions and to do this, they rely heavily on data. This Power BI course is designed to arm you with the knowledge you need to go from raw data to insights and taught in a way that explains complex concepts in a simplified manner.
In this course, we utilize Adventure works Database and will download SQL Server and we will cover the following
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Data Connections where we bring in Data from different sources (Facebook, website, Odata, Csv,excel and Databases)
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Data Transformations where we actually cleanse the data
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Data Joins where we join data from multiple table into one source
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Charts where we try to create as many beautiful visuals as we can
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Filtering Data
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Data Modelling where we talk about Cardinality, Relationships and Data Models
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DAX in Power BI where we talk about different functions to create calculations
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CAPSTONE Project where we analyze COVID_19 data set
This course is action packed and over 12 hours long. I hope you enjoy the course as much as I enjoyed teaching it.
Cheers!
Sandra
Course Curriculum
Chapter 1: Introduction
Lecture 1: Welcome to the course
Lecture 2: Course Overview
Chapter 2: Environment Setup
Lecture 1: Installing Power BI
Lecture 2: Installing Microsoft SQL Server
Lecture 3: Installing Microsoft SQL Server 2
Lecture 4: Installing Management Studio and Adventure works Database
Chapter 3: Connecting to Different Sources
Lecture 1: Connecting to CSV/Text Files
Lecture 2: Connecting to Excel Files
Lecture 3: Connecting to Webpage
Lecture 4: Connecting to OData
Lecture 5: Connecting to SQL Server
Lecture 6: Connecting to Facebook
Chapter 4: Performing Power BI Transformations
Lecture 1: Change Data type, Enter Data and Renaming Tables
Lecture 2: Duplicate, Rename, Remove, Reorder and Split columns
Lecture 3: Merge Columns
Lecture 4: Formating Dates in Power BI
Lecture 5: Combine Multiple Dates
Lecture 6: Grouping using Bins 1
Lecture 7: Grouping using Bins 2
Lecture 8: Grouping using Lists 1
Lecture 9: Grouping using Lists 2
Lecture 10: Creating Hierarchies
Lecture 11: Utilizing Drill up and Drill Down to analyze data
Lecture 12: Creating Query Groups
Lecture 13: Pivot and Unpivot Tables
Chapter 5: Joining and Blending Data
Lecture 1: Utilizing Left outer Join
Lecture 2: Right Outer Join
Lecture 3: Inner Join and Full Join
Lecture 4: Left Anti and Right Anti Join
Lecture 5: Using Append Queries
Chapter 6: All About Charts
Lecture 1: Area Charts
Lecture 2: Area Charts 2
Lecture 3: Bar Charts
Lecture 4: Line and Stacked Charts
Lecture 5: Waterfall and Ribbon Charts
Lecture 6: Tree Map, Scatter Chart
Lecture 7: Pie and Donut Chart
Lecture 8: Funnels and Matrices
Lecture 9: Cards and Maps
Lecture 10: Column Charts
Chapter 7: Filtering Data Using Power BI
Lecture 1: Using Slicers
Lecture 2: Using Slicers 2
Lecture 3: Visual Level filters
Lecture 4: Filters on Measures
Lecture 5: Page level and Report level filters
Lecture 6: Drill through filters
Lecture 7: Guage and KPIs
Lecture 8: Key Influencer Visuals
Chapter 8: Data Modelling Using Power BI
Lecture 1: Introduction to Data Modelling (Star Vs Snowflake Schema)
Lecture 2: Cardinality Introduction
Lecture 3: Creating Relationships Part 1
Lecture 4: Creating Relationships Part 2
Lecture 5: Bidirectional Filtering
Chapter 9: Using DAX in Power BI
Lecture 1: Creating Calculated Columns
Lecture 2: Calculated Tables and Conditional Columns
Lecture 3: DAX Date Functions
Lecture 4: DAX Aggregate Functions
Lecture 5: DAX Logical functions
Lecture 6: DAX Text Functions
Lecture 7: DAX Text Functions 2
Lecture 8: DAX Filter Functions
Lecture 9: DAX Time Intelligence Functions
Chapter 10: CAPSTONE PROJECT: Using COVID-19 Data Set
Lecture 1: Connecting and Shaping COVID_19 Data
Lecture 2: Adding DAX Functions to COVID_19 Data
Lecture 3: Visualizing COVID_19 Data
Instructors
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Sandra Ezike
M.Sc Applied Science/ Data Scientist/ Co-Founder Orezime -
Orezime Learning
Helping Data scientists and Software developers succeed
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 2 votes
- 3 stars: 9 votes
- 4 stars: 8 votes
- 5 stars: 18 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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