Microsoft Power BI is a tool that is used for finding insights and creating visual graphs and charts within an organisation’s data.
Microsoft Power BI is a tool that is used for finding insights and creating visual graphs and charts within an organisation’s data.
Eligibility:
The Microsoft Power BI Course is ideal for anyone who wants to get equipped with necessary skills to implement data analysis, visualisation and decision-making using Power BI.
There are no specific prerequisites for the Microsoft Power BI Course. However, basic knowledge of data analytics and computer science is an added advantage.
Outline:
Module 1: Get Started with Microsoft Data Analytics
Data Analytics and Microsoft
Getting Started with Power BI
Lab: Getting Started
Getting Started
After completing this module, you will be able to:
Explore the different roles in data
Identify the tasks that are performed by a data analyst
Describe the Power BI landscape of products and services
Use the Power BI service
Module 2: Prepare Data in Power BI
Get data from various data sources
Optimise performance
Resolve data errors
Lab: Preparing Data in Power BI Desktop
Prepare Data
After completing this module, you will be able to:
Identify and retrieve data from different data sources
Understand the connection methods and their performance implications
Optimise query performance
Resolve data import errors
Module 3: Clean, Transform, and Load Data in Power BI
Data shaping
Enhance the data structure
Data Profiling
Lab: Transforming and Loading Data
Loading Data
After completing this module, students will be able to:
Apply data shape transformations
Enhance the structure of the data
Profile and examine the data
Module 4: Design a Data Model in Power BI
Introduction to data modelling
Working with tables
Dimensions and Hierarchies
Lab: Data Modeling in Power BI Desktop
Create Model Relationships
Configure Tables
Review the model interface
Create Quick Measures
Lab: Advanced Data Modeling in Power BI Desktop
Configure many-to-many relationships
Enforce row-level security
After completing this module, you will be able to:
Understand the basics of data modelling
Define relationships and their cardinality
Implement Dimensions and Hierarchies
Create histograms and rankings
Module 5: Create Model Calculations using DAX in Power BI
Introduction to DAX
DAX context
Advanced DAX
Lab: Introduction to DAX in Power BI Desktop
Create calculated tables
Create calculated columns
Create measures
Lab: Advanced DAX in Power BI Desktop
Use the CALCULATE() function to manipulate filter context
Use time Intelligence functions
After completing this module, you will be able to:
Understand DAX
Use DAX for simple formulas and expressions
Create calculated tables and measures
Build simple measures
Work with Time Intelligence and Key Performance Indicators
Module 6: Optimise Model Performance
Optimise the model for performance
Optimise DirectQuery Models
Create and manage Aggregations
After completing this module, you will be able to:
Understand the importance of variables
Enhance the data model
Optimise the storage model
Implement aggregations
Module 7: Create Reports
Design a report
Enhance the report
Lab: Designing a report in Power BI
Create a live connection in Power BI Desktop
Design a report
Configure visual fields and format properties
Lab: Enhancing Power BI reports with interaction and formatting
Create and configure Sync Slicers
Create a drill through the page
Apply conditional formatting
Create and use Bookmarks
After completing this module, you will be able to:
Design a report page layout
Select and add effective visualisations
Add basic report functionality
Add report navigation and interactions
Improve report performance
Design for accessibility
Module 8: Create Dashboards
Create a Dashboard
Real-time Dashboards
Enhance a Dashboard
Lab: Designing a report in Power BI Desktop - Part 1
Create a Dashboard
Pin visuals to a Dashboard
Configure a Dashboard tile alert
Use Q&A to create a dashboard tile
After completing this module, students will be able to:
Create a Dashboard
Understand real-time Dashboards
Enhance Dashboard usability
Module 9: Create Paginated Reports in Power BI
Paginated report overview
Create Paginated reports
Lab: Creating a Paginated report
Use Power BI Report Builder
Design a multi-page report layout
Define a data source
Define a dataset
Create a report parameter
Export a report to PDF
After completing this module, you will be able to:
Explain paginated reports
Create a paginated report
Create and configure a data source and dataset
Work with charts and tables
Publish a report
Module 10: Perform Advanced Analytics
Advanced Analytics
Data Insights through AI visuals
Lab: Data Analysis in Power BI Desktop
Create animated scatter charts
Use the visual to forecast values
Work with Decomposition Tree visual
Work with the Key Influencers visual
After completing this module, you will be able to:
Explore statistical summary
Use the Analyze feature
Identify outliers in data
Conduct time-series analysis
Use the AI visuals
Use the Advanced Analytics custom visual
Module 11: Create and Manage Workspaces
Creating Workspaces
Sharing and Managing Assets
Lab: Publishing and Sharing Power BI Content
Map security principles to dataset roles
Share a dashboard
Publish an App
After completing this module, you will be able to:
Create and manage a workspace
Understand workspace collaboration
Monitor workspace usage and performance
Distribute an App
Module 12: Manage Datasets in Power BI
Parameters
Datasets
After completing this module, you will be able to:
Create and work with parameters
Manage datasets
Configure dataset refresh
Troubleshoot gateway connectivity
Module 13: Row-level security
Security in Power BI
Key Takeaways:
Upon completion of the Microsoft Power BI Course, the candidate will be able to:
Use various functionalities and applications
Apply methodologies to convert raw data into meaningful information
Extract valuable insights from diverse data sets
Acquire advanced skills to create compelling and interactive reports
Gain insights about the strategic implementation of Power BI within the workplace
Accreditation:
Why Learners Point:
As one of the foremost providers of Microsoft Power BI Course in Dubai, we have ample experience in teaching relevant skills and knowledge.
Our Microsoft Power BI Course offers the following advantages:
Our Microsoft Power BI Course is designed based on real - world scenarios, formulating and evaluating practical requirements
Our Microsoft Power BI Course strive to provide a reality check and insight into the requirements of a challenging role and how to fulfil it
We also provide live interactive sessions and hands - on experience through assignments associated with the actual work environment
To enhance the learning experience of our students we provide organised group sessions and integrated training modules
Our discrete approach to career guidance enables our students to get successfully placed in renowned organisations
Overview:
Learners Point was inaugurated in 2001 and since then it has been providing quality training and development services to both individuals and the corporate sector.
It offers a wide range of professional courses, aimed at developing and enhancing professional capability and skills of employees and also corporations for that matter.
The programs offered by Learners Point Training Institute are cost effective, cutting edge and customizable. You can choose from a variety of learning modules like Instructor-led training, private classes, on-site training and Mentored Learning.
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Power BI is a business analytics service provided by Microsoft that lets you visualize your data and share insights. It converts data from different sources to build interactive dashboards and Business Intelligence reports.
Visualize data using pandas, matplotlib, and seaborn libraries for data analysis and data science.
Data analytics (DA) is the process of examining data sets in order to find trends and draw conclusions about the information they contain. Increasingly, data analytics is done with the aid of specialized systems and software.
Almost every organization, whatever its size, is drowning in data. Businesses need to analyze accounting data, marketing data, service data, budget data, human resources data, manufacturing data, and organizational data, among others. Organizations need to: → Analyze historical performance data v...
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