Microsoft Power BI

This Hands-On course on Data Analysis is designed to equip you with the practical skills and mastery of the working domain and features of
Power Business Intelligence –
Power BI

Power BI Course Overview

This is a beginner-to-intermediate level Power BI course that aims to expose learners to the Power BI environment, and lay a solid foundation in building simple and complex, impactful, interactive dashboards. It is specially designed for professionals looking for a practical, hands-on, and highly engaging approach to learning business intelligence with Power BI Desktop.

POWER BI Course Key Features

Course Benefits

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This course is designed to get you up & running with Power BI Desktop

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Helps you unlock better business practices with simple-to-use functionality

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Work opportunities in a spectrum of industries

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Make accurate data-driven business decisions

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Certificate of Completion from BNET Learning

NEXT BOOTCAMP STARTS

On February 3rd, 2024

View the schedule and register now.
We will reach out to you with more information.
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TRAINING MODEL

Instructor-led Virtual Classes: This has participants virtually joining other participants in a facilitated intensive class. BNET Learning offers a small class learning environment led by experienced, certified and expertly trained instructors.

Advance your knowledge by taking the Data Analysis Training Using Power BI at a competitive price.

COURSE REQUIREMENTS

  • Who can take this course? – Anyone with a keen interest in learning Data Analysis & Visualization.
  • No prior knowledge or experience is needed.

WHY TRAIN WITH BNET LEARNING?

  • We have trained over 1000 professionals.

  • We parade a well-bred, highly skilled and experienced team of professionals.

OBJECTIVES

  • This course is designed for business professionals who want to analyze and visualize data using Power BI. 
  • In this course, you will learn how to use Power BI to create reports and dashboards that help you understand your data. 
  • You will learn how to connect to data sources, create data models, and create reports and dashboards.
  • You will learn how to use data analysis features to get insights from your data.
  • You will learn how to create visualizations, share your work, and collaborate with colleagues.
  • This course is not available for self-study. Please enroll in one of our upcoming live, instructor-led boot camps to attend.

CURRICULUM

BEGINNER

Lesson 1: Getting to Know Data Analysis
  • Overview of Data Analysis
  • Roles in Data
  • Tasks of a Data Analyst
  • Knowledge Check
  • Lesson Summary
Lesson 2: Introduction to Power BI
  • Meet Power BI
  • Downloading Power BI and adjusting settings/region
  • Power BI interface and workflow
  • Building blocks of Power BI
  • Knowledge Check
  • Lesson Summary
Lesson 3: Get Data in Power BI
  • Getting data from files, relational data sources, NoSQL database, from online sources, azure analysis services
  • Selecting a storage mode
  • Fixing performance issues
  • Resolve data import errors
  • Quiz, Practice Questions and Take-Home assessment
  • Summary
Lesson 4: Clean, Transform, and Load Data in Power BI
  • Getting data from files, relational data sources, NoSQL database, from online sources, azure analysis services
  • Selecting a storage mode
  • Fixing performance issues
  • Resolve data import errors
  • Quiz, Practice Questions and Take-Home assessment
  • Summary
Lesson 5: Design a Data Model in Power BI
  • Getting data from files, relational data sources, NoSQL database, from online sources, azure analysis services
  • Selecting a storage mode
  • Fixing performance issues
  • Resolve data import errors
  • Quiz, Practice Questions and Take-Home assessment
  • Summary
Lesson 6: Introduction to Creating Measures Using DAX In Power BI
  • Getting data from files, relational data sources, NoSQL database, from online sources, azure analysis services
  • Selecting a storage mode
  • Fixing performance issues
  • Resolve data import errors
  • Quiz, Practice Questions and Take-Home assessment
  • Summary
Lesson 7: Work with Power BI visuals
  • Getting data from files, relational data sources, NoSQL database, from online sources, azure analysis services
  • Selecting a storage mode
  • Fixing performance issues
  • Resolve data import errors
  • Quiz, Practice Questions and Take-Home assessment
  • Summary
Lesson 8: Create a Data-Driven Story with Power BI Reports
  • Getting data from files, relational data sources, NoSQL database, from online sources, azure analysis services
  • Selecting a storage mode
  • Fixing performance issues
  • Resolve data import errors
  • Quiz, Practice Questions and Take-Home assessment
  • Summary
Lesson 9: Create Dashboards in Power BI
  • Getting data from files, relational data sources, NoSQL database, from online sources, azure analysis services
  • Selecting a storage mode
  • Fixing performance issues
  • Resolve data import errors
  • Quiz, Practice Questions and Take-Home assessment
  • Summary
  •  

INTERMEDIATE

Lesson 1: More DAX functions
  • Use the Calculate function
  • Use relationships effectively
  • Create semi-additive measures
  • Work with time intelligence gregations
  • Quiz, Practice Questions, and Take-Home assessment
  • Summary
Lesson 2: Optimize a Model for Performance in Power BI
  • Introduction to performance optimization
  • Review performance of measures, relationships, and visuals
  • Use variables to improve performance and troubleshooting
  • Reduce cardinality
  • Optimize DirectQuery models with table-level storage
  • Create and manage aggregations
  • Quiz, Practice Questions, and Take-Home assessment
  • Summary
Lesson 3: Create paginated reports
  • Introduction to paginated reports
  • Get data
  • Create a paginated report
  • Work with charts on the report
  • Publish the report
  • Quiz, Practice Questions, and Take-Home assessment
  • Summary
Lesson 4: Perform Analytics in Power BI
  • Introduction to analytics
  • Explore statistical summary
  • Identify outliers with Power BI visuals
  • Group and bin data for analysis
  • Apply clustering techniques
  • Conduct time series analysis
  • Use the Analyze feature
  • Use advanced analytics custom visuals
  • Review Quick insights
  • Apply AI Insights
  • Quiz, Practice Questions, and Take-Home assessment
  • Summary
Lesson 5: Work with AI visuals in Power BI
  • Introduction to working with AI visuals
  • Use the Q&A visual
  • Find important factors with the key visual influencers
  • Use the Decomposition Tree visual to break down a measure
  • Quiz, Practice Questions, and Take-Home assessment
  • Summary
Lesson 6: Create and Manage Workspaces in Power BI
  • Introduction
  • Distribute a report or dashboard
  • Monitor usage and performance
  • Recommend a development life cycle strategy
  • Troubleshoot data by viewing its lineage
  • Configure data protection
  • Quiz, Practice Questions, and Take-Home assessment
  • Summary
Lesson 7: Manage Datasets in Power BI
  • Create dynamic reports with parameters
  • Create what-if parameters
  • Use a Power BI gateway to connect to on-premises data sources.
  • Configure a dataset scheduled refresh
  • Configure incremental refresh settings
  • Manage and promote datasets
  • Troubleshoot service connectivity
  • Boost performance with query caching (Premium)
  • Quiz, Practice Questions and Take-Home assessment
  • Summary

Frequently Asked Questions (FAQs)

Will a certificate be offered at the end of this course?

Yes, a certificate of completion from BNET Learning will be issued at the end of this course.

Is Power BI a big data analytics tool?

Yes, Power BI can not only help us generate quick analytics and insights but also help with large-scale real-time analytics on large amounts of data.

Do you offer data analysis training with other tools?

Yes, we have an advanced training package called Comprehensive Data Analysis Using Power BI & Tableau.

Is this a physical or online class?

All our classes are virtual, instructor-led classes

Do you offer corporate training for this course?

Yes, we offer special training packages for corporate clients.

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