Mastering Power BI:Data Analysis and Visualization(Oct 2024)

Name: Mastering Power BI:Data Analysis and Visualization(Oct 2024)
Rating: 4.6 (14 reviews)

Unlock the Power of Interactive Reports and Data Insights with Microsoft AZURE

Created byProton Expert Systems & Solutions

Last updated 10/2024

English

What you'll learn

Gain a comprehensive understanding of Power BI and its core components.
Learn to transform and model data effectively using Power Query and data modeling techniques
Develop skills in creating interactive and insightful visualizations
Master DAX to perform complex calculations and data analysis
Explore the features and functionalities of Power BI Service for sharing and collaboration.
Understand the process of integrating Power BI with Azure services for enhanced data capabilities

Course content

6 sections • 49 lectures • 4h 15m total length

Introduction to Power BI5:50
Explore Power BI basics, from data visualization to connecting sources, building reports in Power BI Desktop, sharing in Power BI service, and following the end-to-end workflow for interactive dashboards.
Practice 1-1: Installing Power BI Desktop3:32
Practice 1-2: Connect Power BI to various data sources & Import/load data from9:34
Lesson 1: Introduction to Power BI

Lesson 2: Data Transformation and Modeling6:15
Practice 2-1: Cleaning and Transforming data using Power Query Editor5:18
Learn to clean and transform data using Power Query Editor, focusing on text functions like trim, case changes, merge and split columns, and prepare data for analysis.
Practice 2-1-1: Text Functions in Power Query - Merge Columns, Split & Trim Text5:18
Practice 2-1-2: Text Funtions in Power Query: Left, Right, and Mid Functions4:56
Practice 2-1-3: Text Functions:Uppercase, lowercase, Propercase, Prefix & Suffix3:36
Practice 2-1-4: Number Functions in Power Query8:35
Master Power Query number functions from basic arithmetic to advanced calculations, including percentages, modulo, rounding, and logical checks for even, odd, and sign, applied to total sales and cost.
Practice 2-2: Date Functions using Power Query Editor5:16
Practice 2-3: Append data from multiple sources into a single table4:08
Practice 2-3-1: Appending Multiple CSV files in a folder4:08
Append multiple CSV files from a folder in Power BI using Get Data, Folder, and Combine and Transform Data to produce a single table that auto-refreshes with new files.
Practice 2-3-2: Appending multiple Excel files from a folder4:31
Append multiple Excel files in Power BI by loading from a folder, using Power Query to extract workbook content with a custom column, and consolidate into a single dataset.
Practice 2-3-3: Appending Multiple sheets & with different numbers of columns4:00
Practice 2-3-4: Appending different data sources2:14
Practice 2-4: Merge data from multiple sources5:07
Practice 2-4-1: Merging Data from sheets or tables5:07
Practice 2-4-2: Merging Data from Multiple Excel Files & Multiple Matching Colum2:18
Merge data from multiple Excel files in Power BI using Power Query, align on first name and last name, and uncheck use original column name as prefix.
Practice 2-4-3: Merging Data with Multiple Data Sources (Excel & MySQL Database)4:07
Practice 2-5: Build a data model and create relationships between tables4:44
Build a robust data model in Power BI by creating one-to-many relationships between candidates, applications, jobs, and recruiters, managing relationships, and using auto detect to ensure seamless data interaction.
Lesson 2: Data Transformation and Modelling

Lesson 3: Creating Visualizations6:31
Practice 3-1: Create basic visualizations like charts - part 19:32
Practice 3-2: Create basic visualizations like charts - part 24:36
Practice 3-3: Use slicers and filters to interact with data7:53
Practice 3-3-1: Slicers in Power BI7:53
Practice 3-3-2: Filters in Power BI4:39
Practice 3-4: Implement advanced visualization techniques4:54
Learn to implement advanced visualization techniques in Power BI, including drill through navigation from a summary page to detailed pages and conditional formatting to reveal deeper insights in sales data.
Practice 3-4-1: Drillthroughs in Power BI4:54
Practice 3-4-2: Conditional Formatting in Power BI8:53
Lesson 3: Creating Visualizations

Lesson 4: DAX for Calculations8:05
Practice 4-1: Write basic DAX formulas for calculated columns and measures4:45
Learn dax formulas to create calculated columns and measures in Power BI. See how total cost and profit margin are computed in order details and how measures respond to filters.
Practice 4-2: Basic DAX Functions & Advanced DAX Functions4:31
Master basic DAX aggregate functions in Power BI—sum, average, min, max, count, and count rows—by building measures for total sales, average cost, and orders.
Practice 4-2-1: Basic DAX Functions - Aggregate Functions4:31
Practice 4-2-2: Basic DAX Functions - Logical Functions3:33
Practice 4-2-3: Basic DAX Functions : Text Functions3:05
Practice 4-2-4: Basic DAX Functions : Date and Time Functions3:15
Practice 4-2-5: Basic DAX Functions : Mathematical Functions2:10
Explore mathematical functions in DAX to perform calculations and manipulate numerical data in Power BI. Create calculated columns for absolute difference, rounding to one decimal place, int, and mode.
Practice 4-2-6: Advanced DAX Functions3:36
Master advanced DAX functions in Power BI to boost data analysis with time intelligence, filtering, and context manipulation, using filter, calculate, all, remove filters, lookup value, and running total.
Practice 4-3: Context in DAX & Time Intelligence Functions & Table Functions1:46
Practice 4-3-1: Context in DAX1:46
Practice 4-3-2: Time Intelligence Functions in DAX5:05
Practice 4-3-3: Table Functions in DAX4:21
Practice 4-3-4: Variables in DAX3:37
Practice 4-4: DAX Query5:48
Lesson 4: DAX for Calculations

Lesson 6: Power BI Integration with AZURE6:43
Leverage Power BI with Azure to connect to Azure data sources, enabling scalable analytics, real-time dashboards, and publish reports with integrated data from Azure services.
Practice 6-1: Connect Power BI to Azure SQL Database and import data9:21
Practice 6-2: Create a real-time dashboard in Power BI Service using Azure3:43
Publish your Power BI Desktop report to the service, create a real-time dashboard using an Azure SQL data source, and share, export, subscribe, or comment to collaborate.
Lesson 6: Power BI Integration with Azure

Requirements

Basic Understanding of Data
Fundamental Excel Skills
Interest in Data Analysis
Curiosity and Enthusiasm

Description

Dive into the world of data with our "Mastering Power BI: Data Analysis and Visualization" course. This comprehensive program is designed to guide you through the essentials of Microsoft Power BI, a leading business analytics tool. You will start by gaining a deep understanding of Power BI’s core components and functionalities, setting a solid foundation for effective data analysis and visualization.

In the initial phase of the course, you'll explore the Power BI interface and learn how to connect to various data sources. This includes understanding how to navigate the tool and import data from different platforms. You will become familiar with essential concepts and tools that will be used throughout the course to prepare and structure data for analysis.

As the course progresses, you will focus on data transformation and modeling. Learn how to use Power Query for data cleaning and transformation, and how to build and manage robust data models. You will gain practical skills in creating relationships, hierarchies, and calculated columns to ensure your data is accurately represented and ready for insightful analysis.

The next segment of the course is dedicated to creating interactive and visually engaging reports and dashboards. You will master the art of visualization by learning how to design dashboards that effectively communicate data insights. The course covers a range of visualization tools and techniques, including the use of slicers, filters, and drill-throughs to enhance the interactivity and depth of your reports.

A significant focus of the course is on Data Analysis Expressions (DAX), a powerful formula language used in Power BI. You will learn to write and optimize DAX measures to perform complex calculations and derive meaningful insights from your data. This section includes practical exercises to help you apply DAX functions and time intelligence in real-world scenarios.

The course concludes with an exploration of Power BI Service and its integration with Azure. You will understand how to publish and share your reports through Power BI Service, manage workspaces, and collaborate with team members. Additionally, you will learn how to connect Power BI with Azure services, enhancing your data capabilities and leveraging cloud-based resources for advanced analytics.

Who this course is for:

Business Analysts
Data Analysts
Data Scientists
IT Professionals

Mastering Power BI:Data Analysis and Visualization(Oct 2024)

What you'll learn

Explore related topics

Course content

Introduction to Power BI3 lectures • 19min

Lesson 2: Data Transformation and Modeling17 lectures • 1hr 20min

Lesson 3: Creating Visualizations9 lectures • 1hr

Lesson 4: DAX for Calculations15 lectures • 1hr

Lesson 5: Power BI Service2 lectures • 18min

Lesson 6: Power BI Integration with AZURE3 lectures • 20min

Requirements

Description

Who this course is for: