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Become a Power BI expert by working on real-world case studies in just 1.5 months!
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This Power BI Course Certification teaches you to use the Power BI tool in order to provide data-driven solutions for attaining business goals. Learn from experts and become a certified Power BI professional.
As a part of this online Power BI Certification Course:
Here are some Power BI jobs that are available after getting certified in a Power BI Course, along with their job profiles and salary trends:
| Job Title | Average Salary (USD) | 2023-2024 Trend |
| Power BI Developer | $115,500 | 10% increase |
| Power BI Analyst | $93,500 | 10% increase |
| Power BI Consultant | $132,000 | 10% increase |
| Power BI Architect | $165,000 | 10% increase |
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Connecting to data
Transforming data
Creating a data model
Working with DAX
Visualizing data
Power BI cloud
Building line graphs, bar charts, and dashboards
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In the first module of this Course, you will learn the basics of Power BI
1.1 Introduction to business intelligence (BI)
1.2 Stages of business intelligence (BI)
1.3 Use cases of BI
1.4 Various BI tools
1.5 Overview of data warehouse and concepts
1.6 Introduction to Power BI
1.7 Why Power BI?
1.8 Power BI components
1.9 Power BI pricing structure
1.10 Building blocks of Power BI
1.11 Architecture of Power BI
1.12 Power BI vs Tableau vs QlikView
1.13 Introduction to Power BI desktop
1.14 Installation of Power BI desktop
1.15 The key features of Power BI workflow
1.16 Process of creating reports in Power BI
Hands-on Exercise –
In the second module of this Certification, you will learn the basics of data extraction
2.1 Overview of Power BI desktop
2.2 Data sources in Power BI
2.3 Using files (excel, pdf, csv, etc.) as a data source
2.4 Using SaaS connectors
2.5 Extracting data from folders, and databases
2.6 Working with Azure SQL database and database sources
2.7 Connecting to Analysis Services
2.8 Other data sources (OData, web, SharePoint, etc.)
2.9 Python R script in Power BI
2.10 Introduction of power query editor
2.11 Advance editor
2.12 Query dependency editor
Hands-on Exercise –
3.1 Shaping data using Power Query Editor
3.2 Formatting data
3.3 Transformation of data
3.4 Understanding of Data types
3.5 Data profiling for data quality check
3.6 Naming conventions and best practices to consider
3.7 Identify and create appropriate keys for joins
3.8 Working with Parameters
3.9 Merge Query
3.10 Append Query
3.11 Group by of data (aggregation of data)
3.12 Applied steps (query settings)
3.13 Duplicate and reference tables
3.14 Transpose of data
3.15 Fill
3.16 Pivot & Un-pivot of data
3.17 Custom columns
3.18 Conditional columns
3.19 Replace data from the tables
3.20 Split columns values
3.21 Move columns and sorting of data
3.22 Detect data type, count rows, and reverse rows
3.23 Promote rows as column headers
3.24 Hierarchies in Power BI
3.25 M query
Hands-on Exercise –
4.1 Introduction to relationships
4.2 Creating relationships
4.3 Cardinality
4.4 Cross-filter direction
4.5 Use of inactive relationships
4.6 Introduction of DAX
4.7 Why is DAX used?
4.8 DAX syntax
4.9 DAX functions
4.10 Context in DAX
4.11 Calculated columns using DAX
4.12 Measures using DAX
4.13 Calculated tables using DAX
4.14 Learning about table, information, logical, text, iterator,
4.15 Time intelligence functions (YTD, QTD, MTD)
4.16 Cumulative values, calculated tables, and ranking and rank over groups
4.17 Date and time functions
4.18 Identify poorly performing measures, relationships, and visuals
4.19 DAX advanced features
Hands-on Exercise –
5.1 Deep dive into Power BI data visualization
5.2 Understanding Power View and Power Map
5.3 Data visualization techniques
5.4 Page layout and formatting
5.5 Power BI Desktop visualization
5.6 Formatting and customizing visuals
5.7 Visualization interaction
5.8 Custom visualization in Power BI
5.9 Top-down and bottom-up analytics
5.10 Drill down
5.11 Drill through
5.12 Page navigations
5.13 Bookmarks
5.14 Selection pane to show/hide visuals
5.15 Comparing volume and value-based analytics
5.16 Combinations charts (dual axis charts)
5.17 Filter pane
5.18 Slicers
5.19 Use of Hierarchies in drill down analysis
5.20 Theme for corporate standards
5.21 Power BI template for design reusability
5.22 Mastering the best practices
5.23 Performance analyzer in Power BI for monitoring performance of report
5.24 Power BI Q&A (Natural Language Query visual)
5.25 Sync slicers
5.26 Tooltips and custom tooltips
5.27 Tables and matrix
5.28 Conditional formatting on visuals
5.29 Waterfall chart, KPI, Donut chart, Scatter chart
5.30 Geographical data visualization using Maps
Hands-on Exercise –
6.1 Introduction to Power BI service
6.2 Introduction of workspaces
6.3 Dashboard
6.4 Creating and configuring dashboards
6.5 Dashboard theme
6.6 Reports vs Dashboards
6.7 Building workspace apps
6.8 Sharing reports and dashboards
6.9 configure subscriptions and data alerts
6.10 Paginated report
6.11 Introduction to Power Q & A
6.12 Ask questions about your data using natural query language
6.13 Getting answers in the form of charts, graphs, and data discovery methodologies
6.14 Configure custom questions for Q&A like FAQ
6.15 Ad-hoc analytics building
6.16 Power Q&A best practices
6.17 Quick Insights
6.18 Subscribe, alerts, usage statics, related content
6.19 Design reports on Power BI service
6.20 Collaboration using Power BI service
6.21 Row level security (RLS)
6.22 Introduction of paginated reports
6.23 Introduction of Power BI report server
Hands-on Exercise –
7.1 Understanding Power BI desktop settings
7.2 Aggregating data from multiple data sources
7.3 Power BI service settings
7.4 Power BI admin portal
7.5 Administration activities
7.6 Power BI usage analysis
7.7 Introduction of Office 365 admin activities
7.8 Introduction of Data Gateway
7.9 Installation and configuration of data gateways
7.10 Scheduling auto data refresh
7.11 Managing groups, row-level security, datasets, reports, and dashboards
7.12 Real-time data analysis using direct connectivity
7.13 Direct query vs import mode
Hands-on Exercise –
8.1 Introduction to embedded Power BI
8.2 Create embedded code
8.3 Manage embedded code
8.4 Integration of Power BI in SharePoint
8.5 Introduction of Power BI API
8.6 Power BI embedded playground
8.7 Introduction to Power BI Mobile
8.8 Creating mobile-based reports and dashboards
8.9 Optimizing report for Power BI mobile app
8.10 Features of Power BI mobile app
8.11 Introduction of integrating Power BI & Excel
8.12 Power BI Analyze in Excel
Hands-on Exercise –
Coming to the last module of this Power BI Certification Course, you will learn advanced Power BI and Power BI Premium.
Hands-on Exercise –
Power BI Training Projects
The PL 300 Exam assesses candidates’ proficiency in identifying business requirements, cleansing and transforming data, creating data models, and providing actionable insights. Also, it analyzes proficiency to execute self-service analytics and deploy solutions for consumption using Power BI. After completing the online training and clearing the PL-300 Certification Exam, you will have the capability to collaborate with key stakeholders and deliver quality service based on business requirements.
The cost of Exam PL-300: Microsoft Power BI Data Analyst is $165 USD for the US and ₹4800 INR for India.
The PL-300 Power BI Certification Exam will be valid for one year. After that, your Microsoft Data Analyst certification will not be valid anymore and will require renewal. However, the certificate you get after the course completion from Intellipaat is in line with Microsoft and is valid for a lifetime.
Land Your Dream Job Like Our Alumni
Power BI is a business intelligence tool used for the purpose of data visualization, creating immersive dashboards, and generating reports for an organization. It has intuitive tools that enable the professional to represent the data in a user-friendly way. These tools allow you to share data with other people in the form of reports or dashboards. Learn more about its concepts through this online Power BI Certification.
Yes, Power BI Training is definitely worth it. It helps you gain the necessary skills to create stunning visualizations and perform data analysis efficiently. Plus, it opens doors to numerous career opportunities in the fields of Data Analytics and Business Intelligence.
Learning Power BI online from Intellipaat provides a distinct edge with industry-relevant content, expert instructors, and hands-on projects. This Power BI Certification course focuses on practical skills, ensuring you can apply your knowledge in real-world scenarios, making you job-ready upon completion.
No, this course is designed to accommodate learners of all levels. With this online Power BI Training, structured curriculum, hands-on labs, and expert guidance, even beginners can grasp concepts easily.
Several organizations are actively recruiting Power BI professionals, such as Microsoft, Dell, Google, Adobe, Oracle, Salesforce, and many more. These companies value Power BI skills for data visualization and business intelligence.
To enroll in this Microsoft Power BI Course, you need to visit the Intellipaat website, choose the Power BI Training, and follow the simple enrollment process online.
Intellipaat offers certification programs in Business Intelligence such as Business Intelligence Masters, Tableau, MSBI, ETL, Informatica, Cognos, Qlikview, SSIS, SSRS, MicroStrategy, SSAS, Data Warehousing, OBIEE, Oracle Hyperion, Pentaho, Jaspersoft, Tibco Spotfire, Talend, SQL, Salesforce, Selenium, etc.
The course fee does not include the PL-300 Certification Exam. In the course fee, you only pay for Microsoft Power BI Training and not for the Power BI Certification Exam.
You should get access to the Training as soon as possible after signing up. The exact duration may vary depending on the course and your enrollment status.
Intellipaat has plenty of free online learning materials to help you understand the basics of Power BI before joining the course, such as: What is Power BI, Power BI tutorial, and Power BI interview questions.
There are 3 technical 1:1 sessions per month that will be allowed during this Power BI Certification.