Power BI is a cloud-based business analytics service by Microsoft. It provides interactive visualizations & business intelligence capabilities while supporting users to create reports and dashboards to meet their requirements. Cognixia’s ‘Analyzing Data with Power BI’ will acquaint you with the concepts of Analyzing Data. It offers data warehousing capabilities to users helping them with data preparation, data discovery, and interactive dashboards.
Today, Power BI is one of the largest & fastest-growing business intelligence clouds. Microsoft recognized as a leader for the 14th consecutive year in the 2021 Gartner Magic Quadrant for analytics & business intelligence platforms.
<!–Gartner has recognized Microsoft as a leader for the 14th consecutive year in the 2021 Gartner Magic Quadrant for analytics & business intelligence platforms.–>
Cognixia’s Power BI discusses the various methods & best practices that are in line with business & technical requirements from modeling, analyzing, and visualizing data with Power BI.
The course also covers How to :
- access & process data from a range of data sources including both relational & non-relational data
- implement security standards & policies across the Power BI spectrum including datasets and groups
- manage & deploy reports & dashboards for sharing and content distribution
- build paginated reports with Power BI
- publish them to a workspace for inclusion with Power BI
By the end of this course, participants will have the leadership toolkit to shape and steer GenAI portfolios across their organization.
Strategic Application
This module explores the different roles in the data space, outlines the important roles and
responsibilities of a Data Analysts, and then explores the landscape of the Power BI
portfolio.
- Data Analytics and Microsoft
- Getting Started with Power BI
After completing this module, students 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
This module explores identifying and retrieving data from various data sources. You will also
learn the options for connectivity and data storage and understand the difference and
performance implications of connecting directly to data vs. importing it.
- Data Analytics and Microsoft
- Optimize Performance
- Resolve Data Errors
- Lab: Preparing Data in Power BI Desktop
- Prepare Data
After completing this module, students will be able to:
- Identify and retrieve data from different data sources
- Understand the connection methods and their performance implications
- Use Microsoft Dataverse
- Connect to a data flow
This module teaches you the process of profiling and understanding the condition of the
data. They will learn how to identify anomalies, look at the size and shape of their data, and
perform the proper data cleaning and transforming steps to prepare the data for loading
into the model.
- Shaping the Data
- Profiling the Data
- Enhance the data structure
- Lab: Loading Data in Power BI Desktop
- 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
This module teaches the fundamental concepts of designing and developing a data model
for proper performance and scalability. This module will also help you understand and tackle
many of the common data modeling issues, including relationships, security, and
performance.
- Introduction to data modeling
- Working with tables
- Dimensions and Hierarchies
- Lab: Data Modeling in Power BI Desktop
- Create Model Relationships
- Configure Tables and Column Properties
- Create hierarchies
After completing this module, students will be able to:
- Understand the basics of data modeling
- Define relationships and their cardinality
- Implement Dimensions and Hierarchies
This module introduces you to the world of DAX and its true power for enhancing a model.
You will learn about aggregations and the concepts of Measures, calculated columns and
tables, and Time Intelligence functions to solve calculation and data analysis problems.
- Introduction to DAX
- Real-time dashboards
- 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, students 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
In this module you are introduced to steps, processes, concepts, and data modeling best
practices necessary to optimize a data model for enterprise-level performance.
- Optimize the data model for performance
- Optimize DirectQuery Models
After completing this module, students will be able to:
- Understand the importance of variables
- Enhance the data model
- Optimize the storage model
This module introduces you to the fundamental concepts and principles of designing and
building a report, including selecting the correct visuals, designing a page layout, and
applying basic but critical functionality. The important topic of designing for accessibility is
also covered.
- Design a report
- Enhance the report
- Lab: Enhancing reports with interaction and formatting in Power BI Desktop
- Create and configure Sync Slicers
- Create a drill through page
- Apply conditional formatting
- Create and use Bookmarks
- Lab: Designing a report in Power BI Desktop
- Design a report
- Configure visual fields and format properties
After completing this module, students will be able to:
- Design a report page layout
- Select and add effective visualizations
- Add basic report functionality
- Add report navigation and interactions
In this module you will learn how to tell a compelling story through the use of dashboards
and the different navigation tools available to provide navigation. You will be introduced to
features and functionality and how to enhance dashboards for usability and insights.
- Create a Dashboard
- Real-time Dashboards
- Enhance a Dashboard
- Lab: Creating a Dashboard in Power BI Service
- Create a Dashboard
- Pin visuals to a Dashboard
- 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
This module helps you apply additional features to enhance the report for analytical insights
in the data, equipping you with the steps to use the report for actual data analysis. You will
also perform advanced analytics using AI visuals on the report for even deeper and
meaningful data insights.
- Advanced Analytics
- Data Insights through AI visuals
- Lab: Data Analysis in Power BI Desktop
- Create animated scatter charts
- Use the visual to forecast values
After completing this module, students will be able to:
- Use the Analyze feature
- Identify outliers in data
- Use the AI visuals
- Use the Advanced Analytics custom visual
This module will introduce you to Workspaces, including how to create and manage them.
You will also learn how to share content, including reports and dashboards, and then learn
how to distribute an App.
- Creating Workspaces
- Sharing and Managing Assets
After completing this module, students will be able to:
- Create and manage a workspace
- Understand workspace collaboration
- Monitor workspace usage and performance
- Distribute an App
This module will introduce you to parameters and datasets. You will also learn how to
manage datasets and parameters, build dynamic reports with parameters, and set dataset
refresh options.
- Parameters
- Datasets
After completing this module, students will be able to:
- Manage datasets and parameters
- Build dynamic reports with parameters
- Schedule dataset refresh
- Troubleshoot gateway service connectivity
This module will introduce you to row-level security, both static and dynamic methods, and
how to implement.
- Security in Power BI
- Lab: Enforce Row-Level Security
- Configure many-to-many relationships
- Enforce row-level security
After completing this module, students will be able to:
- Implement row-level security using both the Static and Dynamic methods
Organizational Impact
hands-on learning model
Access to sanitized process maps, KPI definitions, candidate initiative lists, and basic cost baselines (time, cycle time, error or rework rates)
Speak with a Cognixia specialist about enrollment options, custom cohorts for your leadership team, or tailored delivery formats for your organization.
One of our specialists will contact you within one business day.
Asked Questions
Find details on duration, delivery formats, customization options, and post-program reinforcement.
Leveraging software and services to transform data into actionable insights that inform an organization’s strategic and tactical business decisions, is referred to as business intelligence. It also includes the range of tools that provide quick, easy-to-comprehend insights about an organization’s current state, based on available data.
Power BI is a cloud-based business intelligence and data warehousing platform by Microsoft that helps users connect to and visualize any data to gain a deeper insight into available data. Power BI helps you optimize business intelligence using Microsoft technologies.
Gartner has recognized Microsoft as a leader for the 14th consecutive year in the 2021 Gartner Magic Quadrant for analytics and business intelligence platforms. Top reasons to choose Power BI would be:
- Enables users to create amazing data experiences for customers
- Helps connects data sources with scale to analyze, share, and promote insights across the organization while maintaining data accuracy, consistency, and security
- Empowers users and customers to make decisions with confidence
- Provides end-to-end data protection
- Uses Microsoft Azure and is a cloud-based platform
This Power BI training & certification course introduces participants to Power BI and acquaints them to using the platform for accomplishing different tasks. The course talks about methods & best practices for modeling, visualizing, and analyzing data with Power BI. It also covers accessing & processing data, implementing security standards & policies, and managing & deploying reports & dashboards.
Yes, once all the sessions of the online Power BI course are completed, you will be evaluated based on multiple parameters like your attendance in the sessions, your scores in the multiple-choice questions-based online assessment, etc. Based on your overall performance, you will receive a course completion certificate from Cognixia.
An internet speed of a minimum of 2 Mbps is essential to smoothly attend the live sessions of the online instructor-led Power BI training and certification course.
When you enroll for this online Power BI course, you get lifetime access to our Learning Management System (LMS) which would be your one-stop destination to access class recordings, presentations, sample codes, projects, and lots of other learning material related to this Power BI training. Even if you miss a session, a recording of that session, as well as all the other sessions would be available on the LMS that you can access anytime, anywhere.
For any queries you may have during this Power BI online training, you can reach out to our technical support team and they will guide you accordingly.
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