Power BI Online Training

Power BI Online Training in Hyderabad and Bangalore.

Power BI is a business analytics tool developed by Microsoft that allows users to visualize and analyze data from various sources. It is a powerful tool for data visualization, business intelligence, and reporting, and is used by organizations of all sizes to make data-driven decisions. It allows users to connect to various data sources, transform and model the data, and create interactive reports and dashboards.

If you are interested in learning Power BI, there are various courses available online and in-person. These courses are typically designed for individuals who have a background in data analysis, business intelligence, or data visualization.

When choosing a Power BI course, it’s important to consider the content and the level of the course, as well as the instructor’s expertise and experience. Some courses may be more introductory, while others may cover advanced topics such as data modeling and DAX functions.

Overall, learning Power BI can be a valuable skill for professionals in the data analysis and business intelligence fields, and can lead to career opportunities in data analysis, business intelligence, and reporting. With the growing demand for data-driven decision making, Power BI is becoming increasingly important for businesses and organizations of all sizes.

Q1: What is Power BI, and what are its key features?

A1: Power BI is a business analytics tool developed by Microsoft. It allows users to connect to various data sources, transform and model data, and create interactive reports and dashboards. Key features of Power BI include data visualization, self-service analytics, real-time data access, and natural language querying.

Q2: How does Power BI connect to different data sources?

A2: Power BI can connect to a wide range of data sources, including databases, spreadsheets, cloud-based sources, online services, and more. It offers native connectors for popular data sources and supports direct connections, data import, and live connections.

Q3: What types of visualizations can be created in Power BI?

A3: Power BI provides a variety of visualizations, such as bar charts, line charts, pie charts, tables, maps, scatter plots, treemaps, and more. Users can customize and combine these visualizations to create meaningful and interactive reports.

Q4: Can Power BI handle large datasets and big data?

A4: Yes, Power BI can handle large datasets and big data with its in-memory data model and compression techniques. It can also use DirectQuery or Live Connection to analyze data without importing it, enabling real-time data access.

Q5: How does Power BI support natural language querying?

A5: Power BI offers natural language querying through its Q&A feature. Users can ask questions using plain language, and Power BI will interpret and generate visualizations based on the data.

Q6: How can Power BI be used for collaboration and sharing?

A6: Power BI allows users to publish reports and dashboards to the Power BI service, where they can be shared securely with others. Users can collaborate, comment, and set up data-driven alerts for data updates.

Q7: Can Power BI be integrated with other Microsoft products?

A7: Yes, Power BI integrates seamlessly with other Microsoft products, such as Excel, SharePoint, Teams, and Azure. Users can embed Power BI reports in SharePoint sites or use Power BI within Microsoft Teams.

Q8: How does Power BI support mobile access to reports and dashboards?

A8: Power BI offers native mobile apps for iOS and Android devices, allowing users to access and interact with reports and dashboards on the go. The reports automatically adjust to fit different screen sizes.

Q9: What are the advantages of using Power BI for data analysis?

A9: Power BI provides a user-friendly interface, quick data insights, interactive visualizations, and the ability to combine data from multiple sources. It empowers users to make data-driven decisions faster and gain valuable insights from their data.

Q10: Is Power BI suitable for both beginners and advanced users?

A10: Yes, Power BI is designed to cater to both beginners and advanced users. Beginners can quickly create basic visualizations, while advanced users can leverage DAX (Data Analysis Expressions) for complex calculations and modeling.

Power BI Course Content

Lesson 01: Course Introduction

• What is Business Intelligence
• Welcome to Power BI Course
• Introduction to Power BI
• Different Power BI Offerings
• Components of Power BI
• Architecture of Power BI
• Building Blocks of Power BI
• Installing Power BI

Lesson 02: Get Data From Different Data Sources

• Types of Connections
• Connect to data from File
• Connect to data from different Datasources
• Change Data Source Settings
• Direct Query and Import and Live connection

Lesson 03: Clean Transform and Load the Data

• Clean unformmated data
• Power Query Editor user interface
• Combine Data – Merge and Appending
• Advanced Editor to modify M query
• Use Parameters
• Use or Create a PBIDS file
• Create calculated tables and measures
• Rectify Null Values and Data Quality Issues
• Evaluate and Transform Column Data Types
• Optimize data using Group by
• Eliminate unnecessary rows and columns
• Create and Invoke Customer Function
• Advanced Editor to Modify Power Query M code
• Use Query Diagnostics

Lesson 04: Design a Data Model

• Manage Data Relationship
• Data Modeling in Power BI
• Automatic Relationship Updates
• Cardinality Levels
• Cross Filter Direction
• Optimizing Data Models
• Create and Manage Aggregations

Lesson 05: Visualizations in Power BI    

• Matrixes and tables
• Slicers
• Map Visualizations
• Gauges and Single Number Cards
• Create scatter, waterfall, and funnel charts
• Modifying colors in charts and visuals
• Shapes, text boxes, and images
• What Are Custom Visuals?
• Page layout and formatting
• KPI Visuals
• Format and Configure Visualizations
• Apply Slicing and Filtering
• Add an R or Python Visual
• Z-Order
• Explore time-based data

Lesson 06: Advanced Analytics 

• Different kind of filters in Power BI Desktop
  • Report Level
  • Page Level
  • Visual Level
  • Drill through
  • Bins and list in Grouping
  • Bookmarks
  • Add a Quick Insights Result to a Report
  • Use the Key Influencers to Explore Dimensional Variances
  • Use the Decomposition Tree Visual to Break Down a Measure
  • Apply AI Insights
  • Identify Outliers
  • Conduct Time Series Analysis
  • Use the Q and A Feature
  • Set Mobile View

Lesson 07: DAX Functions          

• Introduction to DAX
• Why is DAX important?
• DAX Syntax
• Calculated Columns and Calculated Measures with DAX
• Scope of Usage with DAX. Usability Options
• DAX Data Types: Numeric, Boolean, Variant, Currency
• Dax Functions and Types
• Table Value Functions
• Filter Functions
• Aggregation Functions
• Time Intelligence Functions
• Information Functions
• Parent-Child Functions
• Statistical, Text and Logical Functions
• Syntax Requirements with DAX. Differences with Excel
• Using TOPN, RANKX
• YTD, QTD, MTD Calculations with DAX
• DATESYTD, DATESQTD, DATESMTD
• ENDOFYEAR, ENDOFQUARTER, ENDOFMONTH
• FIRSTDATE, LASTDATE, DATESBETWEEN

Lesson 08: Power BI Service      

• License types: Free, Pro and Prem
• Introduction to Power BI Service
• Create Workspace
• Create Dashboard
• Create Datasets
• Create Data Gateways
• Cloud and On-Premise Data Sources
• Create powerBI Apps
• Row Level Security
• Row Level Security in PowerBI Desktop
• Row level security in Power BI Service
• Static Vs Dynamic Row Level Security
• How to Subscribe for Reports
• How to schedule a Refresh
• Q&A Natural Language Processing option in PowerBI
• Quick Insights
• Dynamic Data Sources and Encryptions
• What is Content Packs?
• Personal and Organizational Content Packs