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Power BI Course Training in Melbourne

47,141 Ratings

Our Power BI training in Melbourne is a career-oriented certification course for learning the complete BI tool, Power BI, from Microsoft. Master Power BI architecture, and its components such as desktop, mobile app, and create compelling visualizations such as charts, reports, etc. Get the best online Power BI course in Melbourne from top experts.

Key Highlights

24 Hrs Instructor Led Training
16 Hrs Self-paced Videos
30 Hrs Project & Exercises
Certification
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
Mentor Support
Trustpilot 3109
sitejabber 1493
mouthshut 24542

Power BI Training in Melbourne Overview

What will you learn in this Power BI training course?

  1. Basics of the Power BI tool
  2. Transforming, reporting, and publishing data
  3. Excel and PowerPoint integration
  4. Working with Excel, Azure, and salesforce data
  5. Power BI on-premise data gateway
  6. Detailed Power BI workflow
  • Individuals looking for a job profile as a business analyst, business development manager, etc.
  • Statisticians aiming to implement their statistics skills to derive business insights
  • Marketing, finance, sales, and other domain professionals who need extensive business intelligence

Power BI Developer and Data Analyst are two distinct roles within the field of data and analytics, and they have different responsibilities, skills, and focuses. Here’s a breakdown of the key differences between these two roles:

 

Characteristic Power BI Developer Data Analyst
Role Develops and maintains Power BI solutions, including dashboards, reports, and data models. Analyzes data to find insights and trends that can help inform business decisions.
Skills Strong technical skills in Power BI, SQL, and other data analysis tools. Strong analytical skills as well as knowledge of business principles and practices.
Tasks Creates and designs Power BI solutions. Integrates data from different sources. Develops data models and visualizations. Manages and maintains Power BI environments. Identifies data trends and patterns. Communicates findings to stakeholders. Develops and implements data-driven solutions.
Education Bachelor’s degree in computer science, data science, or a related field Bachelor’s degree in statistics, economics, business, or a related field
Salary $100,000 – $150,000 per year $75,000 – $100,000 per year

The cost of Power BI certification in Melbourne is US$165. The duration of the Power BI certification exam, the 70-778: Analyzing and Visualizing Data exam, is 120 minutes.

Melbourne is one of the biggest cities in Australia that is offering huge job opportunities in a top Business Intelligence tool like Power BI. If you are having the right proficiency in Power BI, then you can make the best of this growing Power BI job opportunity in this city.

Melbourne being one of the top cities in Australia, the Power BI market in this city is going through a huge boom. If you are having the right training and certification in Power BI, then you can benefit from this boom in Melbourne, Australia.

  • Worldwide Business Intelligence and Analytics market to grow to US$22.8 billion in revenue in the next 2 years – Gartner
  • 70% of the leading companies say that analytics is integral to how they make decisions – IBM Survey
  • A Senior Business Intelligence Analyst can earn US$89,000/year in the United States – PayScale

If you want to get ahead in your career, then you need to learn a top technology like Microsoft Power BI. Intellipaat is offering definitive training in Power BI that can be taken by professionals to get ahead in their careers and grab the best jobs in the market.

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Everything is going to be connected to cloud and data. All of this will be mediated by software. - Satya Nadella, Microsoft CEO
Data is a precious thing and will last longer than the systems themselves. - Tim Berners-Lee, Inventor of the World Wide Web

Career Transition

55% Average Salary Hike

$1,30,000 Highest Salary

12000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

7+ Skills Covered

Connecting to data

Transforming data

Creating a data model

Working with DAX

Visualizing data

Power BI cloud

Building line graphs, bar charts, and dashboards

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Course Fees

One on One Training

  • Duration - 20 Hrs
  • Lifetime access for recorded session
  • Interview preparation

$1,299

Online Classroom Preferred

  • Everything in self-paced learning
  • 24 Hrs of instructor-led training
  • One-to-one doubt resolution sessions
  • Attend as many batches as you want for a lifetime
  • Job assistance
Weekend (Sat-Sun)

24 Nov 2024 08:00 PM - 11:00 PM
Weekday (Tue-Fri)

26 Nov 2024 07:00 AM - 09:00 AM
Weekend (Sat-Sun)

30 Nov 2024 08:00 PM - 11:00 PM
Weekday (Tue-Fri)

03 Dec 2024 07:00 AM - 09:00 AM
$ 399 $299 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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Power BI Course Curriculum in Melbourne

Live Course

Module 1 - Introduction to Power BI

In the first module of this 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 and 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 to 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 the web
  3. Publish to the cloud
  4. Create power tables
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In the second module of this Certification, you will learn the basics of data extraction

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
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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 and 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 and 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 and sorting of data
3.22 Detect data type, count rows, and 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
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4.1 Introduction to 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 is DAX 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 calculating columns, tables, and measures
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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 and 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 and custom tooltips
5.27 Tables and 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
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6.1 Introduction to Power BI service
6.2 Introduction of workspaces
6.3 Dashboard
6.4 Creating and configuring dashboards
6.5 Dashboard theme
6.6 Reports vs Dashboards
6.7 Building workspace apps
6.8 Sharing reports and 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 the dashboard
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7.1 Understanding 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 and 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
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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 and 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
Download Brochure

Coming to the last module of this Power BI Certification Course, you will learn advanced Power BI and Power BI Premium.

Hands-on Exercise –

  1. Demo of data flow
  2. Demo of deployment pipelines
  3. Demo of incremental load of data in Power BI
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Power BI Training Projects

Power BI Certification in Melbourne

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This course is designed for clearing the Microsoft 70-778 Analyzing and Visualizing Data with Microsoft Power BI exam. You will also receive a course completion certificate from Microsoft for analyzing data with Power BI.

As part of this training, you will be working on real-time projects and assignments that have immense implications in real-world industry scenarios, thus helping you fast-track your career effortlessly. At the end of this training program, there will be quizzes based on questions asked in the certification exam to help you score better.

Intellipaat’s course completion certificate will be awarded upon the completion of the project work (after expert review) and scoring at least 60 percent on the quiz. This certification is well-recognized by top MNCs such as Ericsson, Cisco, Cognizant, Sony, Wipro, Standard Chartered, TCS, Genpact, Tata Communications, etc.

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Power BI Course in Melbourne FAQs

Why should I join this Power BI training in Melbourne at Intellipaat?

Intellipaat offers the best business intelligence training. Power BI is a powerful business intelligence 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 Power BI in real business scenarios. Upon successfully completion of the training, you will be awarded Intellipaat’s Power BI certification.

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

Yes, Intellipaat provides other technical certification training courses in Melbourne such as Selenium, Salesforce, Tableau, SQL, Qlikview, Informatica, MSBI, ETL, etc.

Intellipaat has plenty of free learning materials to help you understand the basics of Power BI such as: What is Power BI tool? Power BI tutorial, and Power BI interview questions.

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

Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

No, our job assistance is aimed at helping you land 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 hiring decision will always be based on your performance in the interview and the requirements of the recruiter.

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