Power BI for Data Analysis

5.00 (2 Ratings)

Enrolled:53

Level

Beginner
Duration

11 hours 3 minutes
Last Updated

March 4, 2025
Enrollment validity

Enrollment validity: 365 days
Certificate

Certificate of completion

About Course

Welcome to our Power BI for Data Analysis course! Whether you're a beginner or looking to enhance your existing skills, this comprehensive course will equip you with the knowledge and proficiency to utilize Power BI for data analysis, reporting, and visualization. With a step-by-step approach, we'll cover essential areas such as querying and transforming data, data modeling, using Data Analysis Expression (DAX), creating impactful visualizations, and building powerful insights and dashboards. Designed for students, analysts, managers, and professionals from various industries, this course is part of our Data Analysis Expert Pathway, which includes courses in Microsoft Excel, SQL, R, Python, and Tableau, providing you with a comprehensive toolkit for becoming a full-fledged data analyst. No prior knowledge is required, making this course accessible to beginners as well. Get ready to unlock the potential of Power BI and gain valuable data analysis skills.

Introduction to Power BI and Data Analytics
Querying and Transforming Data
Data Modeling and Relationships
Utilizing Data Analysis Expression (DAX)
Creating Impactful Visualizations
Building Interactive Dashboards and Reports
Design user-friendly reports for dynamic data exploration
Explore advanced techniques for trend analysis and forecasting
Identify patterns, outliers, and correlations within datasets
Leverage advanced visualizations to uncover hidden insights.
Integration with Data Analysis Toolkit
Recognize the integration between Power BI and essential tools
Real-world Data Analysis Scenarios
Apply acquired skills to real-world datasets and scenarios

Course Curriculum

Introduction

DOWNLOAD COURSE MATERIAL !
Course Objectives

01:53
What is Power BI

01:51
Why you Should Learn Power BI

02:42
Fundamentals of Power BI

02:59
Power BI Architechture

03:25
Power BI vs Excel

03:05
Pillars of Power BI Solution

02:14
Downloading Power BI

01:52
Understanding the Interface and features of Power BI

14:36

Query and Transforming Data
This module includes files for the course.

Accompanying Files – DOWNLOAD !
Overview of Query Editor

01:24
Effective Ways to Source Data

05:58
Understanding Data Type and When to Use Them

04:12
Profile The Data

02:34
Deleting Previous Steps

03:02
Filter Columns with Data

01:45
Naming Conventions to Column and Queries

02:24
Column Transformation

11:57
Row Transformation

07:27
Grouping Queries

01:13
Duplicate vs Reference

02:52
Append Queries

07:33
Merge Queries

04:27
Understanding M

02:14
Causes of Errors in Query Editor

04:17
Change of Data Source Settings

02:31
Significance of Date Table

04:39
Unpivot Columns

06:26
Data Connectivity Modes

01:27
Cleaning and Automating Raw Data

16:03

1st Quiz

Data Modeling and Relationship

Overview of Data Modeling

01:19
Significance of Data Modeling

00:59
Benefits of a Good Data Model

00:54
Understanding Granularity

01:20
Increasing Model Analytical Power

00:53
Leveraging Data Model

02:07
Understanding Fact and Dimension Tables

01:53
Things to Note About Fact and Dimension Tables

04:25
Helper Columns and Tables

00:45
Types of Relationship

04:14
Understanding Star Schema

02:08
Understanding Snowflakes

03:46
Creating Relationships

11:02

DAX Calculations

Overview of Data Analysis Expression (DAX)

02:21
Primary Calculation Using DAX

00:31
Calculated Columns and Measures

12:38
Aggregation Functions

09:05
X-Aggregation Functions

08:26
Counting Values

04:09
Conditional Functions

05:13
Switch Functions

04:38
Handling Errors

03:59
Using Variables

08:25
Mathematical and Other Functions

03:12
Relational Functions

08:20
Table Functions

01:02
Filter Functions

08:58
Ignoring Filters

07:47
Combining Filters

02:04
Distinct and Values

01:36
ALLSELECTED

04:14
RELATEDTABLE

06:01
Evaluation Context

01:01
Filter Context

06:28
Row Context

03:58
Context Errors

03:11
Filtering a Table

04:16
Evaluation Context and Relationship

01:40
Filter and Relationship

01:09
CALCULATE

04:16
CALCULATE – Example

09:52
CALCULATE Modifiers

01:07
User Relationship

04:17
Cross Filter

04:26
KeepFilters

02:33
Context Transitions

08:12
Context Transitions and Iterators

01:55
RANKX

06:04
ISINSCOPE

03:50
Time Intelligence Functions

16:24

Report and Data Visualizations

2nd Quiz

Sales Insights Dashboard

Overview of Dashboard and Dataset

03:36
Bringing Data into Model

01:10
Transformation and Cleaning of Data

06:31
Data Modeling

03:35
Writing of DAX Measures

11:01
Creating Best Fit Visuals

13:56
Data Visualization and Report Formatting

21:46
Creating Tooltips

08:51
Managing Interaction Between Visuals

04:15

Performance Insights Dashboard

Employee Insights Dashboard

Financial Insights Dashboard

CAPSTONE PROJECT
Create a Power BI Dashboard using the provided "Consumer Goods Sales.xlsx" dataset. Refer to the capstone project instructions titled "Sales Data Insight - Instructions" for detailed guidance. Once you've followed the task instruction outlined in the capstone project, save your completed dashboard in ".pbix" format and upload it for evaluation. Successful completion of this project requires achieving a minimum score of 60%. If you reach or exceed this score, you will pass the course and be eligible to download your certificate. Students who do not attain a score of 60% will need to redesign their dashboard and submit the revised version. If you have any questions or need further clarification, please refer to the project instructions or seek assistance from your instructor. Good luck with your project!

Student Ratings & Reviews

5.0

Total 2 Ratings

2 Ratings

0 Rating

Francis Jatau

2 years ago

It was concise, insightful and impactful.

Francis Ojeh

2 years ago

It was impactful and detailed

Power BI for Data Analysis

About Course

What will I learn?

Course Curriculum

Introduction

DOWNLOAD COURSE MATERIAL !

Course Objectives

What is Power BI

Why you Should Learn Power BI

Fundamentals of Power BI

Power BI Architechture

Power BI vs Excel

Pillars of Power BI Solution

Downloading Power BI

Understanding the Interface and features of Power BI

Query and Transforming Data This module includes files for the course.

Accompanying Files – DOWNLOAD !

Overview of Query Editor

Effective Ways to Source Data

Understanding Data Type and When to Use Them

Profile The Data

Deleting Previous Steps

Filter Columns with Data

Naming Conventions to Column and Queries

Column Transformation

Row Transformation

Grouping Queries

Duplicate vs Reference

Append Queries

Merge Queries

Understanding M

Causes of Errors in Query Editor

Change of Data Source Settings

Significance of Date Table

Unpivot Columns

Data Connectivity Modes

Cleaning and Automating Raw Data

1st Quiz

1st Quiz

Data Modeling and Relationship

Overview of Data Modeling

Significance of Data Modeling

Benefits of a Good Data Model

Understanding Granularity

Increasing Model Analytical Power

Leveraging Data Model

Understanding Fact and Dimension Tables

Things to Note About Fact and Dimension Tables

Helper Columns and Tables

Types of Relationship

Understanding Star Schema

Understanding Snowflakes

Creating Relationships

DAX Calculations

Overview of Data Analysis Expression (DAX)

Primary Calculation Using DAX

Calculated Columns and Measures

Aggregation Functions

X-Aggregation Functions

Counting Values

Conditional Functions

Switch Functions

Handling Errors

Using Variables

Mathematical and Other Functions

Relational Functions

Table Functions

Filter Functions

Ignoring Filters

Combining Filters

Distinct and Values

ALLSELECTED

RELATEDTABLE

Evaluation Context

Filter Context

Row Context

Context Errors

Filtering a Table

Evaluation Context and Relationship

Filter and Relationship

Query and Transforming Data
This module includes files for the course.