Course information

Microsoft Power BI Data Analyst PL300 Course Outline

Module 1: Discover Data Analysis

  • Introduction
  • Overview of Data Analysis
  • Roles in Data
  • Tasks of a Data Analyst

Module 2: Get Started Building with Power BI

  • Introduction
  • Use Power BI
  • Building Blocks of Power BI
  • Tour and Use the Power BI Service

Module 3: Get Data in Power BI

  • Introduction
  • Get Data from Files
  • Get Data from Relational Data Sources
  • Create Dynamic Reports with Parameters
  • Get Data from a NoSQL Database
  • Get Data from Online Services
  • Select a Storage Mode
  • Get Data from Azure Analysis Services
  • Fix Performance Issues
  • Resolve Data Import Errors
  • Exercise - Prepare Data in Power BI Desktop

Module 4: Clean, Transform and Load Data in Power BI

  • Introduction
  • Shape the Initial Data
  • Simplify the Data Structure
  • Evaluate and Change Column Data Types
  • Combine Multiple Tables into a Single Table
  • Profile Data in Power BI
  • Use Advanced Editor to Modify M Code
  • Exercise - Load Data in Power BI Desktop

Module 5: Design a Data Model in Power BI

  • Introduction
  • Work with Tables
  • Create a Date Table
  • Work with Dimensions
  • Define Data Granularity
  • Work with Relationships and Cardinality
  • Resolve Modelling Challenges
  • Exercise - Model Data in Power BI Desktop

Module 6: Add Measures to Power BI Desktop Models

  • Introduction
  • Create Simple Measures
  • Create Compound Measures
  • Create Quick Measures
  • Compare Calculated Columns with Measures
  • Exercise - Create DAX Calculations in Power BI Desktop

Module 7: Add Calculated Tables and Columns to Power BI Desktop Models

  • Introduction
  • Create Calculated Columns
  • Learn About Row Context
  • Choose a Technique to Add a Column

Module 8: Use DAX Time Intelligence Functions in Power BI Desktop Models

  • Introduction
  • Use DAX Time Intelligence Functions
  • Additional Time Intelligence Calculations
  • Exercise - Create Advanced DAX Calculations in Power BI Desktop

Module 9: Optimise 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

Module 10: Design Power BI Reports

  • Introduction
  • Design the Analytical Report Layout
  • Design Visually Appealing Reports
  • Report Objects
  • Select Report Visuals
  • Select Report Visuals to Suit the Report Layout
  • Format and Configure Visualizations
  • Work with Key Performance Indicators
  • Exercise - Design a Report in Power BI Desktop

Module 11: Configure Power BI Report Filters

  • Introduction to Designing Reports for Filtering
  • Apply Filters to the Report Structure
  • Apply Filters with Slicers
  • Design Reports with Advanced Filtering Techniques
  • Consumption-Time Filtering
  • Select Report Filter Techniques
  • Case Study - Configure Report Filters Based on Feedback

Module 12: Enhance Power BI Report Designs for the User Experience

  • Design Reports to Show Details
  • Design Reports to Highlight Values
  • Design Reports that Behave Like Apps
  • Work with Bookmarks
  • Design Reports for Navigation
  • Work with Visual Headers
  • Design Reports with Built-In Assistance
  • Tune Report Performance
  • Optimize Reports for Mobile Use
  • Exercise - Enhance Power BI Reports

Module 13: 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 Analyse Feature
  • Create What-If Parameters
  • Use Specialized Visuals
  • Exercise - Perform Advanced Analytics with AI Visuals

Module 14: 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

Module 15: Manage Datasets in Power BI

  • Introduction
  • 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

Module 16: Create Dashboards in Power BI

  • Introduction to Dashboards
  • Configure Data Alerts
  • Explore Data by Asking Questions
  • Review Quick Insights
  • Add a Dashboard Theme
  • Pin a Live Report Page to a Dashboard
  • Configure a Real-Time Dashboard
  • Configure Data Classification
  • Set Mobile View
  • Exercise - Create A Power BI Dashboard

Module 17: Implement Row-Level Security

  • Introduction
  • Configure Row-Level Security with the Static Method
  • Configure Row-Level Security with the Dynamic Method
  • Exercise - Enforce Row-Level Security in Power BI

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Who should attend this Microsoft Power BI Data Analyst PL300 Training Course?

This Microsoft Power BI Data Analyst PL300 Course in New Delhi is designed for professionals who work with Data Analysis, Business Intelligence, and those responsible for creating insightful reports and dashboards for decision-making. This training course is especially beneficial for these professionals:

  • Data Analysts
  • Business Analysts
  • Data Engineers
  • Business Intelligence Professionals
  • IT Professionals
  • Managers
  • Team Leads

Prerequisites of the Microsoft Power BI Data Analyst PL300 Training Course

There are no formal prerequisites for this Microsoft Power BI Data Analyst PL300 Course. However, experience in working with data in the cloud can be beneficial for the delegates.

  • Understanding core data concepts
  • Knowledge of working with relational data in the cloud
  • Knowledge of working with non-relational data in the cloud
  • Knowledge of data analysis and visualization concepts

Microsoft Power BI Data Analyst PL300 Course Overview

The Microsoft Power BI Data Analyst PL300 Course in New Delhi offers a comprehensive exploration of Power BI, Microsoft's business analytics tool that empowers organizations to visualize and analyze their data effectively. The ability to derive insights from data is paramount in today's data-driven business landscape.

Mastering Microsoft Power BI is essential for professionals in business intelligence, data analysis, and reporting. As organizations grapple with ever-growing volumes of data, the demand for skilled Power BI analysts is on the rise. This course in New Delhi caters to those aiming to harness the capabilities of Power BI to create compelling visualizations, conduct data analysis, and generate insightful reports.

The Knowledge Academy's 3-day training on Microsoft Power BI Data Analyst PL300 in New Delhi equips delegates with hands-on experience utilizing Power BI for data analysis and visualization. Delegates will learn to create interactive dashboards, connect to various data sources, and execute complex data transformations.

Course Objectives

  • To understand the fundamental concepts of Microsoft Power BI for data analysis
  • To acquire skills in connecting Power BI to various data sources
  • To learn the essentials of creating interactive dashboards and reports in Power BI
  • To gain proficiency in transforming and shaping data using Power BI tools
  • To explore advanced features of Power BI for in-depth data analysis
  • To acquire practical knowledge in sharing and collaborating on Power BI reports

Upon completing this course in New Delhi, delegates will have the expertise to navigate Microsoft Power BI confidently, transforming raw data into actionable insights.

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What’s included in this Microsoft Power BI Data Analyst PL300 Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Microsoft Power BI Data Analyst PL300
  • Digital Delegate Pack

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Our New Delhi venue

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New Delhi is one of the districts within Delhi, as well as it being the capital city of India, it is also the home to the Government of the National Capital Territory of Delhi and some of the branches of the Government of India, these being the judiciary, executive and legislative branches and is also home to around 249,998 people. The capital of India - New Delhi was initiated within 1931 by Viceroy Lord Irwin however formed during 1911 by George V, who was the King of the United Kingdom as well as the Emperor of India and his British architects Sir Herbert Baker and Sir Edwin Lutyens formed the foundation stone and announced the capital city of India would be changed. The primary schools and secondary schools within New Delhi are either run privately or by the government and as of 2004 to 2005 there was around 1.5 million students going through the educational system within 2416 primary schools, 822,00 students in 715 middle schools and 669,000 students in 1576 secondary schools and around 500,000 students within 165 universities and colleges. All universities are either state, deemed or central universities, The top universities within New Delhi are the Jamia Millia Islamia, the University of Delhi, Indian Statistical Institute, National Law University, Jawaharlal Nehru University, Guru Gobind Singh Indraprastha University, Ambedkar University Delhi, Jamia Hamdard, Delhi Technological University – which is the first Engineering college within Delhi and one of the oldest in India, the Indira Gandhi National Open University is the largest national university in the world with over 4 million students, New Delhi is also home to the Indian Agricultural Research Institute, Pusa, New Delhi, Premier institute for agricultural research and education in India. The university courses and programs can offer different types of degrees such an undergraduate and post graduate courses, Bachelor courses and Scholarships, New Delhi prides itself on its premier institutions as the teaching and researching they do means that within 2011 the census recorded the literacy rate for females as 80.9% and for males it was slightly higher at 91.0% with an overall literacy rate of 86.3%. Subjects within the different universities can include, social sciences, engineering, humanities, technology, sports, law, social work, arts, management, education, computer information technology, foreign languages, mathematical science, dentistry and medical. 

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Address

Pioneer Institute of Education and Computer Studies
F322/A, 3rd Floor
Adarsh House (Above PNB Bank)
Old MB Road
Lado Sarai
New Delhi
110030

T: +91 8037244591

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Microsoft Power BI Data Analyst PL300 | Microsoft Power BI in New Delhi. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Microsoft Power BI Data Analyst PL300 | Microsoft Power BI in New Delhi, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Experience the most sought-after learning style with The Knowledge Academy's Microsoft Power BI Data Analyst PL300 | Microsoft Power BI in New Delhi. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Microsoft Power BI Data Analyst PL300 | Microsoft Power BI in New Delhi sessions.

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The training fees for certification in New Delhi starts from INR271095
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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

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