Duration
 30 Days

Data Analysis and VisualizationPower BI, developed by Microsoft, transforms raw data into actionable insights through intuitive reports and dashboards. This Power BI course is designed for individuals seeking to master and leverage its capabilities to enhance their data analysis skills. By the end of this course, participants will be equipped to make informed decisions based on data-driven insights, making them invaluable assets in any organization.

What is Power BI?

Power BI is a powerful business analytics tool developed by Microsoft that allows users to visualize and share insights from their data. With its user-friendly interface, Power BI enables individuals and organizations to transform raw data into meaningful insights, interactive reports, and dashboards. By connecting to a wide range of data sources, including Excel, SQL Server, and cloud-based services, Power BI provides a comprehensive solution for data visualization, analysis, and reporting. Its robust capabilities empower businesses to make data-driven decisions, track performance metrics, and uncover trends that can lead to improved efficiency and profitability.

Why Learn Power BI Course?

In today’s data-driven world, the ability to analyze and visualize data is crucial for professionals across various industries. Learning Power BI equips individuals with the skills to turn data into actionable insights, making them invaluable assets to their organizations. Here are several reasons to pursue a Power BI course:

  • High Demand for Data Analysts: Organizations are increasingly seeking professionals who can interpret data effectively. Knowledge of Power BI enhances your employability in roles such as data analyst, business intelligence analyst, and data scientist.

  • Improved Decision-Making: Mastering Power BI helps you make informed decisions based on data analysis rather than intuition, leading to better business outcomes.

  • Competitive Advantage: With Power BI skills, you gain a competitive edge over peers who lack data visualization expertise, making you a more attractive candidate for promotions and job opportunities.

  • User-Friendly Tool: Power BI is designed for users at all skill levels, making it accessible to both technical and non-technical professionals.

Module-1: Getting Started with Microsoft Data Analytics (2 hours)

Discover Data Analysis (1 hour)
  • Introduction
  • Overview of Data Analysis
  • Roles in Data
  • Tasks of a Data Analyst
Get Started Building with Power BI (1 hour)
  • Introduction
  • Using Power BI
  • Building Blocks of Power BI
  • Tour and Use the Power BI Service

Module-2: Preparing Data for Analysis with Power BI (4 hours)

Get Data in Power BI (2 hours)
  • Introduction
  • Getting Data from Files
  • Getting Data from Relational Data Sources
  • Creating Dynamic Reports with Parameters
  • Getting Data from a NoSQL Database
  • Getting Data from Online Services
  • Selecting a Storage Mode
  • Getting Data from Azure Analysis Services
  • Fixing Performance Issues
  • Resolving Data Import Errors
Clean, Transform, and Load Data in Power BI (2 hours)
  • Introduction
  • Shaping the Initial Data
  • Simplifying the Data Structure
  • Evaluating and Changing Column Data Types
  • Combining Multiple Tables into a Single Table
  • Profiling Data in Power BI
  • Using Advanced Editor to Modify M Code
  • Exercise: Load Data in Power BI Desktop

Module-3: Modeling Data with Power BI (11 hours)

Describe Power BI Desktop Models (1 hour)
  • Introduction
  • Star Schema Design
  • Analytic Queries
  • Configuring Report Visuals
Choose a Power BI Model Framework (1 hour)
  • Introduction
  • Describing Power BI Model Fundamentals
  • Developing Import Models vs. DirectQuery Models vs. Composite Models
  • Choosing a Model Framework
Design a Data Model in Power BI (2 hours)
  • Introduction
  • Working with Tables
  • Creating a Date Table
  • Working with Dimensions
  • Defining Data Granularity
  • Working with Relationships and Cardinality
  • Resolving Modeling Challenges
  • Exercise: Model Data in Power BI Desktop
Write DAX Formulas for Power BI Desktop Models (1 hour)
  • Introduction
  • Writing DAX Formulas
  • DAX Data Types
  • Working with DAX Functions
  • Using DAX Operators
  • Using DAX Variables
Add Measures to Power BI Desktop Models (1 hour)
  • Introduction
  • Creating Simple Measures
  • Creating Compound Measures
  • Creating Quick Measures
  • Comparing Calculated Columns with Measures
  • Exercise: Create DAX Calculations in Power BI Desktop
Add Calculated Tables and Columns to Power BI Desktop Models (1 hour)
  • Introduction
  • Creating Calculated Columns
  • Understanding Row Context
  • Choosing a Technique to Add a Column
Use DAX Time Intelligence Functions in Power BI Desktop Models (1 hour)
  • Introduction
  • Using DAX Time Intelligence Functions
  • Additional Time Intelligence Calculations
  • Exercise: Create Advanced DAX Calculations in Power BI Desktop
Optimize a Model for Performance in Power BI (1 hour)
  • Introduction to Performance Optimization
  • Reviewing Performance of Measures, Relationships, and Visuals
  • Using Variables to Improve Performance and Troubleshooting
  • Reducing Cardinality
  • Optimizing DirectQuery Models with Table Level Storage
  • Creating and Managing Aggregations
Enforce Power BI Model Security (2 hours)
  • Introduction
  • Restricting Access to Power BI Model Data
  • Restricting Access to Power BI Model Objects
  • Applying Good Modeling Practices
  • Exercise: Enforce Model Security

Module-4: Building Power BI Visuals and Reports (9 hours)

Scope Report Design Requirements (1 hour)
  • Introduction
  • Identifying the Audience
  • Determining Report Types
  • Defining User Interface Requirements
  • Defining User Experience Requirements
  • Exploring Report Designs
Design Power BI Reports (2 hours)
  • Introduction
  • Designing the Analytical Report Layout
  • Designing Visually Appealing Reports
  • Report Objects
  • Selecting Report Visuals
  • Formatting and Configuring Visualizations
  • Working with Key Performance Indicators
  • Exercise: Design a Report in Power BI Desktop
Configure Power BI Report Filters (1 hour)
  • Introduction to Designing Reports for Filtering
  • Applying Filters to the Report Structure
  • Applying Filters with Slicers
  • Designing Reports with Advanced Filtering Techniques
  • Consumption-Time Filtering
  • Case Study: Configure Report Filters Based on Feedback
Enhance Power BI Report Designs for User Experience (2 hours)
  • Designing Reports to Show Details
  • Designing Reports to Highlight Values
  • Designing Reports that Behave Like Apps
  • Working with Bookmarks
  • Designing Reports for Navigation
  • Working with Visual Headers
  • Designing Reports with Built-In Assistance
  • Tuning Report Performance
  • Optimizing Reports for Mobile Use
  • Exercise: Enhance Power BI Reports
Perform Analytics in Power BI (2 hours)
  • Introduction to Analytics
  • Exploring Statistical Summary
  • Identifying Outliers with Power BI Visuals
  • Grouping and Binning Data for Analysis
  • Applying Clustering Techniques
  • Conducting Time Series Analysis
  • Using the Analyze Feature
  • Creating What-If Parameters
  • Using Specialized Visuals
  • Exercise: Perform Advanced Analytics with AI Visuals
Create Paginated Reports (1 hour)
  • Introduction to Paginated Reports
  • Getting Data
  • Creating a Paginated Report
  • Working with Charts on the Report
  • Publishing the Report

Module-5: Managing Workspaces and Datasets in Power BI (5 hours)

Create and Manage Workspaces in Power BI (1 hour)
  • Introduction
  • Distributing a Report or Dashboard
  • Monitoring Usage and Performance
  • Recommending a Development Life Cycle Strategy
  • Troubleshooting Data by Viewing Its Lineage
  • Configuring Data Protection
Manage Datasets in Power BI (1 hour)
  • Introduction
  • Using a Power BI Gateway to Connect to On-Premises Data Sources
  • Configuring Dataset Scheduled Refresh
  • Configuring Incremental Refresh Settings
  • Managing and Promoting Datasets
  • Troubleshooting Service Connectivity
  • Boosting Performance with Query Caching (Premium)
Create Dashboards in Power BI (2 hours)
  • Introduction to Dashboards
  • Configuring Data Alerts
  • Exploring Data by Asking Questions
  • Reviewing Quick Insights
  • Adding a Dashboard Theme
  • Pinning a Live Report Page to a Dashboard
  • Configuring a Real-Time Dashboard
  • Configuring Data Classification
  • Setting Mobile View
  • Exercise: Create a Power BI Dashboard
Implement Row-Level Security (1 hour)
  • Configuring Row-Level Security with the Static Method
  • Configuring Row-Level Security with the Dynamic Method
  • Exercise: Enforce Row-Level Security in Power BI

Module-6: Project (Duration TBD)

  • Capstone Project: Implement a comprehensive data analytics solution using Power BI, integrating skills learned throughout the course.

Power BI Course Certification after Completion

Upon successful completion of the Power BI course, participants will receive a certification that validates their proficiency in using Power BI for data analysis and visualization. This certification is recognized by employers and can significantly enhance your resume. It demonstrates your commitment to professional development and your ability to leverage Power BI for business intelligence.

Advantages of Learning Power BI

  • Enhanced Data Analysis Skills: Gain the ability to analyze complex datasets and derive actionable insights that can drive business strategies.

  • Interactivity and Customization: Learn how to create interactive reports and dashboards that cater to specific business needs.

  • Integration with Microsoft Products: Power BI integrates seamlessly with other Microsoft products like Excel and Azure, enhancing its usability in existing workflows.

  • Community Support: As a widely used tool, Power BI has a robust community and resources available for ongoing learning and support.

  • Cost-Effective Solution: Power BI offers competitive pricing for businesses, making it a cost-effective choice for organizations looking to enhance their data analytics capabilities.

Why Choose Our Power BI Training?

Choosing our Power BI training ensures you receive high-quality instruction from experienced professionals who are experts in the field of data analytics. Here are a few reasons to enroll in our course:

  • Experienced Instructors: Our trainers bring real-world experience and industry knowledge, providing practical insights and guidance throughout the course.

  • Hands-On Learning: We emphasize practical training, ensuring you work on real-world projects and case studies to apply your skills effectively.

  • Flexible Learning Options: Our training programs are designed to accommodate different learning preferences, including online, in-person, and hybrid formats.

  • Comprehensive Curriculum: Our course covers all essential aspects of Power BI, from basic to advanced topics, ensuring a well-rounded understanding of the tool.

  • Career Support: We offer career guidance and support to help you navigate job opportunities and leverage your new skills effectively in the job market.

Mastering Power BI opens up numerous opportunities for professional growth and enhanced decision-making capabilities. Enroll in our Power BI course in vizag at Datapro Computers, the best computer coaching center in Vizag, and gain the expertise needed to excel in the competitive field of data analytics. Unlock your potential and elevate your career with our comprehensive training program!