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POWER BI TRAINING PROGRAM CURRICULUM

In the first module of this Power BI course, you will learn the basics of Power BI

1.1 Introduction to Business Intelligence (BI)
1.2 Stages of business intelligence (BI)
1.3 Use cases of BI
1.4 Various BI tools
1.5 Overview of Data warehouse & concepts
1.6 Introduction to Power BI
1.7 Why Power BI
1.8 Power BI Components
1.9 Power BI pricing structure
1.10 Building blocks of Power BI
1.11 Architecture of Power BI
1.12 Power BI vs Tableau vs QlikView
1.13 Introduction of Power BI Desktop
1.14 Installation of Power BI Desktop
1.15 The key features of Power BI workflow
1.16 Process of creating reports in Power BI

Hands-on Exercise –

  1. Demo of building a Power BI dashboard
  2. Source data from web
  3. Publish to cloud
  4. Create power tables

2.1 Overview of Power BI desktop
2.2 Data sources in Power BI
2.3 Using files (excel, pdf, csv, etc.) as a data source
2.4 Using SaaS connectors
2.5 Extracting data from folders, and databases
2.6 Working with Azure SQL database and database sources
2.7 Connecting to Analysis Services
2.8 Other data sources (OData, web, SharePoint etc.)
2.9 Python & R script in Power BI
2.10 Introduction of power query editor
2.11 Advance editor
2.12 Query dependency editor

Hands-on Exercise –

  1. Connect to a database
  2. Import data from an excel file
  3. Connect to SQL Server
  4. Analysis Service
  5. Connect to Power Query
  6. Connect to SQL Azure
  7. Connect to Hadoop

3.1 Shaping data using Power Query Editor
3.2 Formatting data
3.3 Transformation of data
3.4 Understanding of Data types
3.5 Data profiling for data quality check
3.6 Naming conventions & best practices to consider
3.7 Identify and create appropriate keys for joins
3.8 Working with Parameters
3.9 Merge Query
3.10 Append Query
3.11 Group by of data (aggregation of data)
3.12 Applied steps (query settings)
3.13 Duplicate & Reference tables
3.14 Transpose of data
3.15 Fill
3.16 Pivot & Un-pivot of data
3.17 Custom columns
3.18 Conditional columns
3.19 Replace data from the tables
3.20 Split columns values
3.21 Move columns & sorting of data
3.22 Detect data type, count rows & reverse rows
3.23 Promote rows as column headers
3.24 Hierarchies in Power BI
3.25 M query

Hands-on Exercise –

  1. Install Power BI Desktop and configure the settings
  2. Use Query editor
  3. Write a power query
  4. Transpose a table

4.1 Introduction of relationships
4.2 Creating relationships
4.3 Cardinality
4.4 Cross filter direction
4.5 Use of inactive relationships
4.6 Introduction of DAX
4.7 Why DAX is used
4.8 DAX syntax
4.9 DAX functions
4.10 Context in DAX
4.11 Calculated columns using DAX
4.12 Measures using DAX
4.13 Calculated tables using DAX
4.14 Learning about table, information, logical, text, iterator,
4.15 Time intelligence functions (YTD, QTD, MTD)
4.16 Cumulative values, calculated tables, and ranking and rank over groups
4.17 Date and time functions
4.18 identify poorly performing measures, relationships, and visuals
4.19 DAX advanced features

Hands-on Exercise –

  1. Create a Power Pivot Apply filters
  2. Use advanced functionalities like date and time functions
  3. Embed Power Pivot in Power BI Desktop
  4. Create DAX queries for calculate column, tables and measures

5.1 Deep dive into Power BI data visualization
5.2 Understanding Power View and Power Map
5.3 Data visualization techniques
5.4 Page layout & Formatting
5.5 Power BI Desktop visualization
5.6 Formatting and customizing visuals
5.7 Visualization interaction
5.8 Custom visualization in Power BI
5.9 Top-down and bottom-up analytics
5.10 Drill down
5.11 Drill through
5.12 Page navigations
5.13 Bookmarks
5.14 Selection pane to show/hide visuals
5.15 Comparing volume and value-based analytics
5.16 Combinations charts (dual axis charts)
5.17 Filter pane
5.18 Slicers
5.19 Use of Hierarchies in drill down analysis
5.20 Theme for corporate standards
5.21 Power BI template for design reusability
5.22 Mastering the best practices
5.23 Performance analyzer in Power BI for monitoring performance of report
5.24 Power BI Q&A (Natural Language Query visual)
5.25 Sync slicers
5.26 Tooltips & custom tooltips
5.27 Tables & matrix
5.28 Conditional formatting on visuals
5.29 Waterfall chart, KPI, Donut chart, Scatter chart
5.30 Geographical data visualization using Maps

Hands-on Exercise –

  1. Create a Power View and a Power Map
  2. Format and customize visuals
  3. Deploy Power View on SharePoint and Excel
  4. Implement top-down and bottom-up analytics
  5. Create Power View reports, Charts, Scorecards
  6. Add a custom visual to report
  7. Authenticate a Power BI web application
  8. Embed dashboards in applications
  9. Categorize, filter and sort data using Power View
  10. Create hierarchies
  11. Use date hierarchies
  12. Use business hierarchies
  13. Resolve hierarchy issues

6.1 Introduction to Power BI Service
6.2 Introduction of workspaces
6.3 Dashboard
6.4 Creating & Configuring Dashboards
6.5 Dashboard theme
6.6 Reports vs Dashboards
6.7 Building workspace Apps
6.8 Sharing reports & dashboards
6.9 configure subscriptions and data alerts
6.10 Paginated report
6.11 Introduction to Power Q & A
6.12 Ask questions about your data using Natural Query Language
6.13 Getting answers in the form of charts, graphs, and data discovery methodologies
6.14 Configure custom questions for Q&A like FAQ
6.15 Ad-hoc analytics building
6.16 Power Q&A best practices
6.17 Quick Insights
6.18 Subscribe, Alerts, Usage statics, Related content
6.19 Design reports on Power BI Service
6.20 Collaboration using Power BI Service
6.21 Row Level Security (RLS)
6.22 Introduction of Paginated Reports
6.23 Introduction of Power BI Report Server

Hands-on Exercise –

  1. Write queries using natural language
  2. Get answers in the form of charts, graphs
  3. Build ad hoc analytics
  4. Pin a tile and a range to dashboard

7.1 Getting to understand Power BI Desktop settings
7.2 Aggregating data from multiple data sources
7.3 Power BI Service settings
7.4 Power BI Admin Portal
7.5 Administration activities
7.6 Power BI usage analysis
7.7 Introduction of Office 365 admin activities
7.8 Introduction of Data Gateway
7.9 Installation & Configuration of data gateways
7.10 Scheduling auto data refresh
7.11 Managing groups, row-level security, datasets, reports, and dashboards
7.12 Real time data analysis using Direct Connectivity
7.13 Direct Query vs Import Mode

Hands-on Exercise –

  1. Configure security for dashboard Deploy data gateways
  2. Aggregate data from multiple data sources
  3. Schedule data refresh
  4. Manage groups and row level security, datasets, reports and dashboards
  5. Work with calculated measures

8.1 Introduction to embedded Power BI
8.2 Create embedded code
8.3 Manage embedded code
8.4 Integration of Power BI in SharePoint
8.5 Introduction of Power BI API
8.6 Power BI Embedded playground
8.7 Introduction to Power BI Mobile
8.8 Creating mobile based reports & dashboards
8.9 Optimizing report for Power BI mobile app
8.10 Features of Power BI mobile app
8.11 Introduction of integrating Power BI & Excel
8.12 Power BI Analyze in Excel

Hands-on Exercise –

  1. Design Power BI reports for Mobile app
  2. Power BI embedded demo

Coming to the last module of this Power BI certification course, you will learn advance Power BI and Power BI Premium.

9.1 Introduction of Power BI Premium
9.2 Power BI Premium per user
9.3 Power BI Premium features
9.4 Introduction to Data Flow
9.5 Create Data Flow
9.6 Advantages of Data Flow
9.7 Create reports using Data Flow
9.8 Introduction to Power BI Deployment Pipelines
9.9 Create Deployment Pipelines
9.10 Benefits of Deployment Pipelines
9.11 Introduction of Sensitivity Labels
9.12 Introduction of Power BI Goals feature
9.13 Incremental data load in Power BI
9.14 use AI visuals
9.15 use the Forecast feature
9.16 Power BI best practice rules to improve performance

Hands-on Exercise –

  1. Demo of Data Flow
  2. Demo of deployment pipelines
  3. Demo of incremental load of data in Power BI.

Best-in-class Teaching by leading faculty and industry leaders with online videos, assignments, cases and projects

PROGRAM DETAILS

DURATION

12 – 16 weeks program, Monday to Friday daily 2 hours batches.

PROGRAM FEE

44,999/- (excluding taxes)

ROGRAM TIMINGS

Morning Batch in 1st Half of Day

ClASSROOM MODE

Online on Zoom

WHO IS THIS PROGRAM FOR?

Whether you want to move into World of Digital Consulting or drive growth for your business through World class digital platforms, this program is the right one for you. The 3 tracks enable professionals to transition into roles across the Program. Professionals who will find this program useful are:

Career Impacts

JOB PLACEMENT

The process involved: Prepare yourself as the most eligible job-ready candidate and give 100% placement assistance &Connect with companies that are the best match for you Be the first to know about the vacancies to gain an edge in the application process

CAREER COUNSELING
Get personalized career pathing from industry experts to chart out the best opportunities based on your interests. The process involved: Determine strengths and weaknesses of a student Set goals for better employment results.
RESUME FEEDBACK

Our experts will also help you understand the expectations of the industry so you can prepare your resume better. The process involved: Evaluating your resume as a prospective employer Determining areas that might require additional emphasis Get the best resume tips and strategies to land your dream job

INTERVIEW PREPARATION

The process involved: Giving a detailed review of the interview Identifying what you did well and ways to improve, Giving objective feedback about your competencies in relation to the job application

Power BI Certification FAQs

Power BI is a Business MarQuery tool by Microsoft. Analysts, most commonly data analysts use it for the purpose of data visualization, creating immersive dashboards, and generating reports for an organization. It has intuitive tools that enable the user to represent the data in a user-friendly way. These tools allow to share data with other people in the form of reports or dashboards.

Organizations use Power BI to gather data generated by prior research from varied sources and perform advanced data analytics to make informed decisions. Data analysts use Power BI to generate engaging representations that help both technical and non-technical people understand how their business is performing.

MarQuery is the master among all providers of Business Intelligence tools courses. This is a powerful BI tool from Microsoft that lets you extract data from multiple and varied data sources and convert it into business insights. You will master the technique of creating visually appealing and insightful charts, graphs, and reports by deploying this tool in real business scenarios. Upon successfully completing this Microsoft Power BI training, you will be awarded MarQuery certification.

You will be working on real-time projects and step-by-step assignments that have high relevance in the corporate world, and this Power BI course curriculum is designed by industry experts. Upon the completion of the course, you can apply for some of the best jobs in top MNCs around the world at top salaries. MarQuery offers lifetime access to videos, Power BI certification training materials, 24/7 support, and course material upgrading to the latest version at no extra fee. Hence, it is clearly a one-time investment.

Microsoft Power BI is an easy-to-learn Business MarQuery tool that doesn’t require advanced engineering or data analytics skills. Even non-technical workers like managers and administrators may convert data and produce reports to assess project performance and fulfil company goals with the help of easy tutorials and paid resources. Get yourself a Power BI certification and you will be good to go. MarQuery Microsoft Power BI course empowers you to organize the data and information, apply mathematical equations using DAX( ) and create immersive and easy to understand reports.

 

Both Power BI and Tableau are popular Business Intelligence and Data Analysis tools. They provide similar features and come at affordable price points. However, it depends on the needs of a particular business, which one fits in their basket.

Tableau provides robust models for Data Analytics that come with more customization options and are easy to scale up. Power BI has a gentle learning curve, it provides more options for visualization, and is more affordable from a business point of view.

So, if you want custom Data Analytics and advanced features, Tableau is a good option. While Power BI is best for a business that wants to perform basic Data Analytics and is not willing to spend resources to hire data science professionals.

Following are the companies hiring for Power BI developer –

  • Accenture
  • Microsoft
  • Dell Technologies
  • Tata Consultancy Services
  • Cognizant Technology Solutions
  • Adobe

Some of the common tools in Power BI are built-in connectors, Power query, AI-powered Q&A, Machine Learning models, quick insights, and integration of Cortana. The built-in connectors in Power BI allow the user to connect with both On-premises and On-cloud data sources including Salesforce, SQL Servers, Microsoft, and more.

Power Query helps you integrate the reports and share them on the internet. Cortana integration will allow you to run queries by giving voice commands. In addition, Power BI offers advanced analysis, Machine Learning, and other AI tools to create live dashboards and check your performance in real-time.

Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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