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Microsoft Power BI for Data Science and Data Analytics

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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:

  • 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

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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