PWRBI-EXCEL.AP1
Analyzing Data with Power BI and Power Pivot for Excel
Learn to effectively analyze, visualize, and report on data using Excel, Power BI, and Power Pivot to make informed business decisions.
- Practice in 21 Hands-On Labs — nothing to install
- 13 Interactive Lessons and 69 topics mapped to the official exam objectives
- 123 Practice Test Questions
Intermediate Self-paced · 1 year access 4.6/5 (141 Reviews)
21 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
13Interactive Lessons
69Topics
21LiveLab
123Practice Test Questions
43Flashcards
43Glossary of terms
01 / Skills you'll get
What you will be able to do
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No credit card required
Get your hands dirty with data analysis using the Power BI app and Power Pivot tool within Excel. This hands-on training course arms you with skills to analyze, visualize, and report information. You’ll learn to connect various data sources, build data models, create dashboards, and perform advanced analysis techniques that will spot hidden insights. With this “Analyzing data with Power BI” course, you’ll make decisions to improve your business processes and get ahead of the competition in the data-centric industry.
- Become proficient in using Excel, Power Pivot, and Power BI for data analysis and data visualization
- Connect various data sources, such as Excel, SQL Server, CSV files, and online databases
- Learn to create effective star and snowflake schemas, establish relationships, and implement hierarchies
- Utilize DAX (Data Analysis Expressions) to create calculated columns, measures, and perform complex calculations
- Develop visually appealing and informative dashboards and reports to communicate insights effectively
- Understand and apply various data analysis techniques, including time intelligence, data cleansing, and performance optimization
- Integrate Power BI with other tools and technologies, such as SQL Server and Python
Target Career Roles
- Accountants Cost Estimator Data Journalist Retail Manager Project Manager Business Analyst Financial Analyst Information Clerk Administrative Assistant
02 / Lessons & labs
See exactly what you will learn and practice
Lessons
13 Interactive Lessons · 69 topics01 Introduction 3 topics +
- Who this course is for?
- Organization of this course
- Conventions
02 Introduction to data modeling 5 topics · 1 LiveLab +
- Working with a single table
- Introducing the data model
- Introducing star schemas
- Understanding the importance of naming objects
- Conclusions
1 LiveLab in this lesson — see the labs panel →
03 Using header/detail tables 4 topics · 1 LiveLab +
- Introducing header/detail
- Aggregating values from the header
- Flattening header/detail
- Conclusions
1 LiveLab in this lesson — see the labs panel →
04 Using multiple fact tables 5 topics · 2 LiveLab +
- Using denormalized fact tables
- Filtering across dimensions
- Understanding model ambiguity
- Using orders and invoices
- Conclusions
2 LiveLab in this lesson — see the labs panel →
05 Working with date and time 10 topics · 1 LiveLab +
- Creating a date dimension
- Understanding automatic time dimensions
- Using multiple date dimensions
- Handling date and time
- Time-intelligence calculations
- Handling fiscal calendars
- Computing with working days
- Handling special periods of the year
- Working with weekly calendars
- Conclusions
1 LiveLab in this lesson — see the labs panel →
06 Tracking historical attributes 6 topics · 1 LiveLab +
- Introducing slowly changing dimensions
- Using slowly changing dimensions
- Loading slowly changing dimensions
- Rapidly changing dimensions
- Choosing the right modeling technique
- Conclusions
1 LiveLab in this lesson — see the labs panel →
07 Using snapshots 5 topics · 3 LiveLab +
- Using data that you cannot aggregate over time
- Aggregating snapshots
- Understanding derived snapshots
- Understanding the transition matrix
- Conclusions
3 LiveLab in this lesson — see the labs panel →
08 Analyzing date and time intervals 7 topics · 4 LiveLab +
- Introduction to temporal data
- Aggregating with simple intervals
- Intervals crossing dates
- Modeling working shifts and time shifting
- Analyzing active events
- Mixing different durations
- Conclusions
4 LiveLab in this lesson — see the labs panel →
09 Many-to-many relationships 5 topics · 2 LiveLab +
- Introducing many-to-many relationships
- Cascading many-to-many
- Temporal many-to-many
- Using the fact tables as a bridge
- Conclusions
2 LiveLab in this lesson — see the labs panel →
10 Working with different granularity 3 topics · 1 LiveLab +
- Introduction to granularity
- Relationships at different granularity
- Conclusions
1 LiveLab in this lesson — see the labs panel →
11 Segmentation data models 5 topics · 3 LiveLab +
- Computing multiple-column relationships
- Computing static segmentation
- Using dynamic segmentation
- Understanding the power of calculated columns: ABC analysis
- Conclusions
3 LiveLab in this lesson — see the labs panel →
12 Working with multiple currencies 5 topics · 2 LiveLab +
- Understanding different scenarios
- Multiple source currencies, single reporting currency
- Single source currency, multiple reporting currencies
- Multiple source currencies, multiple reporting currencies
- Conclusions
2 LiveLab in this lesson — see the labs panel →
13 Appendix A. Data modeling 101 6 topics +
- Tables
- Data types
- Relationships
- Filtering and cross-filtering
- Different types of models
- Measures and additivity
Hands-On Labs Our edge
21 LiveLabs- Exploring a Dataset
- Aggregating Values from the Header Table
- Analyzing Denormalized Fact Tables
- Understanding Model Ambiguity
- Creating a Date Dimension
- Analyzing Slowly Changing Dimensions
- Analyzing Snapshots
- Analyzing Derived Snapshots
- Understanding the Transition Matrix
- Understanding Temporal Data
- Analyzing Events that Cross Dates
- Analyzing Active Events
- Mixing Different Durations
- Exploring Many-to-Many Relationships
- Exploring a Temporal Many-to-Many Relationship
- Analyzing Relationships at Different Granularity
- Analyzing Calculated Physical Relationships
- Analyzing Dynamic Segmentation
- Understanding ABC Analysis
- Producing a Report Containing Information With a Single Type of Currency
- Producing a Report in Multiple Currencies
Labs run in your browser — nothing to install.
03 / FAQs
Questions before you start
What is Power BI and Power Pivot?+
Power BI is a business intelligence tool for analyzing and visualizing data, while Power Pivot is a data modeling engine within Excel.
How do Power BI and Power Pivot work together?+
Power Pivot is used to create data models, and Power BI is used to build interactive dashboards and reports based on those models.
What is the prerequisite knowledge required for this course?+
Basic knowledge of Excel is recommended for our Power BI and Excel for data analysis training, but no prior experience with Power BI or Power Pivot is necessary.
How can this course benefit my career?+
Learning Power BI and Power Pivot can enhance your skills in data analysis and visualization, making you an attractive candidate in the job market.
Develop Data Analytic and Visualization Skills
Use Excel Power Pivot and Power BI integrations to analyze data and transform it into compelling visuals to tell a story.
- 1 year of full access
- 21 LiveLab included
- Certificate of completion
No credit card required