Microsoft Power BI for Data Science and Data Analytics
Microsoft Power BI for Data Science and Data Analytics, available at $49.99, has an average rating of 3.75, with 92 lectures, based on 22 reviews, and has 79 subscribers.
You will learn about Administering Microsoft Power BI Services Creating data visualizations with various Power BI charts Publishing Power BI reports to Power BI Service (powerbi-com) Working with various data sources: local files, Power BI datasets, database server, Azure databases Customizing Power BI report format Power BI Report Interactivity Data Analysis Expression (DAX) and data transformation Building geographic reports with Bing Map, Filled Map, ArcGIS, and Shape Map Power BI reports based on Python and R scripts Power BI Artificial Intelligence reports (KPI, Key Influencer, Decomposition Tree) Power BI reports with Azure Analysis Services Power BI on-premises Data Gateway Building Power BI reports with local database via Power BI Data Gateway Create Power BI reports for mobile devices with Power BI Mobile This course is ideal for individuals who are Report Designers or Business and System Analyst or Developers or IT Administrator or Data Scientist or Data Engineers It is particularly useful for Report Designers or Business and System Analyst or Developers or IT Administrator or Data Scientist or Data Engineers.
Enroll now: Microsoft Power BI for Data Science and Data Analytics
Summary
Title: Microsoft Power BI for Data Science and Data Analytics
Price: $49.99
Average Rating: 3.75
Number of Lectures: 92
Number of Published Lectures: 92
Number of Curriculum Items: 92
Number of Published Curriculum Objects: 92
Original Price: $59.99
Quality Status: approved
Status: Live
What You Will Learn
- Administering Microsoft Power BI Services
- Creating data visualizations with various Power BI charts
- Publishing Power BI reports to Power BI Service (powerbi-com)
- Working with various data sources: local files, Power BI datasets, database server, Azure databases
- Customizing Power BI report format
- Power BI Report Interactivity
- Data Analysis Expression (DAX) and data transformation
- Building geographic reports with Bing Map, Filled Map, ArcGIS, and Shape Map
- Power BI reports based on Python and R scripts
- Power BI Artificial Intelligence reports (KPI, Key Influencer, Decomposition Tree)
- Power BI reports with Azure Analysis Services
- Power BI on-premises Data Gateway
- Building Power BI reports with local database via Power BI Data Gateway
- Create Power BI reports for mobile devices with Power BI Mobile
Who Should Attend
- Report Designers
- Business and System Analyst
- Developers
- IT Administrator
- Data Scientist
- Data Engineers
Target Audiences
- Report Designers
- Business and System Analyst
- Developers
- IT Administrator
- Data Scientist
- Data Engineers
Microsoft Power BI is a one of business analytics service to visualize data and make interactive visualizations. This Bootcamp has a goal to help you how to build Power BI reports with various charts and various data sources.
You will learn how to explorer all basic visualizations with various Power BI charts. Then, you can access databases sources such as file dan database included SQL Server, Azure Database and PostgreSQL Server. Furthermore, we can customize Power BI report format and making report interactivity with Data Analysis Expression (DAX).
You can visualize your data in geographic reports and also make Power BI report based on Python and R scripts. Visualizing your Azure Analysis Services in Power BI reports. You can extend your data sources with local database by applying Power BI Data Gateway.
We also explore Power BI Artificial Intelligence Reports such as:
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Key Performance Indicator (KPI)
-
Key Influencer
-
Decomposition Tree
-
Power Bi Insight : Analyze Increase / Decrease
-
Power Bi Insight : Analyze Different Distribution
-
Power Bi Insight : Smart Narrative / Report Summarization
-
Q&A Visual: Ask a question about your data
-
Time Series Forecasting
-
Quick Insight on Power Bi Service (powerbi com)
Last, we build Power BI reports for mobile devices with Power BI Mobile.
You don’t have any prior experience in Power BI to follow this Bootcamp.
I will maintain this course including upgrade the latest Power BI version.
**Update 24 September 2021**
I added new materials about AI Reports
**Update 25 June 2020**
I added new materials about Power BI Mobile
Course Curriculum
Chapter 1: Introduction
Lecture 1: Bootcamp Overview
Lecture 2: Preparation
Chapter 2: Setting Up Development Environment
Lecture 1: Overview
Lecture 2: Microsoft Power BI Service
Lecture 3: Microsoft Power BI Desktop
Chapter 3: My First Power BI Report
Lecture 1: Overview
Lecture 2: Creating My Simple Power BI Report
Lecture 3: Publishing to Power BI Service (PowerBi.com)
Chapter 4: Basic Visualizations Design for Power BI
Lecture 1: Overview
Lecture 2: Stacked Bar Chart
Lecture 3: Stacked Column Chart
Lecture 4: Clustered Bar Chart
Lecture 5: Clustered Column Chart
Lecture 6: 100% Stacked Bar Chart
Lecture 7: 100% Stacked Column Chart
Lecture 8: Line Chart
Lecture 9: Area Chart
Lecture 10: Stacked Area Chart
Lecture 11: Line and Stacked Column Chart
Lecture 12: Line and Clustered Column Chart
Lecture 13: Ribbon Chart
Lecture 14: Waterfall Chart
Lecture 15: Funnel Chart
Lecture 16: Scatter Chart
Lecture 17: Pie Chart
Lecture 18: Donut Chart
Lecture 19: Treemap Chart
Lecture 20: Gauge Chart
Lecture 21: Card Chart
Lecture 22: Multi-row Chart
Lecture 23: Table Chart
Lecture 24: Matrix Chart
Lecture 25: 2021 | Create and Edit Power Bi Report from Power Bi Website (powerbi.com)
Chapter 5: Multi Charts and Pages in a Report
Lecture 1: Creating Multi Charts and Pages in a Report
Chapter 6: Power BI Visualization Format
Lecture 1: Overview
Lecture 2: Themes
Lecture 3: Configuring Power BI Report Page
Lecture 4: Visualization Format Tab
Lecture 5: Customizing Report Page with Title, Texts and Images
Chapter 7: Power BI Report Interactivity
Lecture 1: Overview
Lecture 2: Slicers
Lecture 3: Synching Slicers for All Report Pages
Lecture 4: Filters
Lecture 5: Drill Through
Chapter 8: Power BI Data Sources
Lecture 1: Overview
Lecture 2: Data Source with Local Files
Lecture 3: Power BI Datasets (powerbi.com)
Lecture 4: Data Source with Web REST API JSON
Lecture 5: Data Source with Azure SQL Server
Lecture 6: 2021 | Data Source with PostgreSQL
Lecture 7: 2021 | Data Source with Multiple Files
Chapter 9: Data Analysis Expressions (DAX) and Data Transformation
Lecture 1: Overview
Lecture 2: Writing Basic DAX Scripts
Lecture 3: Adding Dataset Column with Conditional
Lecture 4: Conditional Formating
Lecture 5: DAX and Conditional Formatting Based Ranking
Lecture 6: Power BI Measure
Lecture 7: Introduce Power BI Data Transformation
Chapter 10: Power BI Geographic Reports
Lecture 1: Overview
Lecture 2: Bing Map Visualizations
Lecture 3: Filled Map Visualizations
Lecture 4: ArcGIS Map Visualizations
Lecture 5: Shape Map Visualizations
Lecture 6: Bonus: Airport Map Visualizations
Chapter 11: Power BI Reports based Python and R Scripts
Lecture 1: Overview
Lecture 2: Building Power BI Reports with Python Scripts
Lecture 3: Building Power BI Reports with R Scripts
Chapter 12: Power BI Artificial Intelligence Reports
Lecture 1: Overview
Lecture 2: Key Performance Indicator (KPI)
Lecture 3: Key Influencer
Lecture 4: Decomposition Tree
Lecture 5: 2021 | Power Bi Insight : Analyze Increase / Decrease
Lecture 6: 2021 | Power Bi Insight : Analyze Different Distribution
Lecture 7: 2021 | Power Bi Insight : Smart Narrative / Report Summarization
Lecture 8: 2021 | Q&A : Ask a question about your data
Lecture 9: 2021 | Time Series Forecasting
Lecture 10: 2021 | Quick Insight on Power Bi Service (powerbi.com)
Chapter 13: 2021 | Power Bi Dashboard
Lecture 1: 2021 | Build Your Own Power Bi Dashboard
Lecture 2: 2021 | Power Bi Dashboard Themes
Lecture 3: 2021 | Sharing Power BI Dashboard
Chapter 14: Power BI Reports with Azure Analysis Service
Lecture 1: Overview
Lecture 2: Creating Azure Analysis Service
Lecture 3: Creating and Publishing Power BI Report
Chapter 15: Power BI On-Premises Data Gateway
Lecture 1: Overview
Lecture 2: Creating and Configuring Data Gateway for Power BI
Instructors
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Agus Kurniawan
Researcher, Trainer, Consultant and Author
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 0 votes
- 3 stars: 6 votes
- 4 stars: 7 votes
- 5 stars: 8 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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