power bi - intellipaat.com · global bi and analytics market to grow to us$22.8 billion in the next...

Power BI Certification Training 1 | P a g e

Power BI

Certification Training In Collaboration with Microsoft


Table of Contents

1. About the Program

2. Collaborating with Microsoft

3. About Intellipaat

4. Key Features

5. Career Support

6. Why take up this course?

7. Who should take up this course?

8. Program Curriculum

9. Project Work

10. Certification

11. Intellipaat Success Stories

12. Contact Us


About the Program

Our Power BI training course lets you master the Microsoft Power BI tool. We provide the

best online training classes to help you learn Power BI architecture, Desktop, Service,

Mobile Apps, visualizations, reports, etc., and about deriving business insights. As part of

this program, you will work on real-world projects.

Collaborating with Microsoft

Microsoft is one of the largest organizations in terms of inventing creative tools for various

purposes. Experts from Microsoft and other top MNCs will offer you their understanding

and knowledge in the field through this online certification. Moreover, you will also get deep

insights into the concepts and gain hands-on experience by working on industry-specified

assignments.

Benefits for students from Microsoft:

Industry-recognized Microsoft certification

Real-time projects and exercises


About Intellipaat

Intellipaat is one of the leading e-learning training providers with more than 600,000

learners across 55+ countries. We are on a mission to democratize education as we

believe that everyone has the right to quality education.

Our courses are delivered by subject matter experts from top MNCs, and our world-class

pedagogy enables learners to quickly learn difficult topics in no time. Our 24/7 technical

support and career services will help them jump-start their careers in their dream

companies.


Key Features

24 HRS INSTRUCTOR-LED

TRAINING

16 HRS SELF-PACED TRAINING

30 HRS REAL-TIME

PROJECT WORK LIFETIME ACCESS

24/7 TECHNICAL SUPPORT INDUSTRY-RECOGNIZED

CERTIFICATION

JOB ASSISTANCE THROUGH

80+ CORPORATE TIE-UPS FLEXIBLE SCHEDULING


Career Support

SESSIONS WITH INDUSTRY MENTORS

Attend sessions from top industry experts and get guidance on how to boost

your career growth

MOCK INTERVIEWS

Mock interviews to make you prepare for cracking interviews by top employers

GUARANTEED INTERVIEWS & JOB SUPPORT

Get interviewed by our 400+ hiring partners

RESUME PREPARATION

Get assistance in creating a world-class resume from our career services team


Why take up this course?

Global BI and Analytics market to grow to US$22.8 billion in the next 2 years –

Gartner

70% of leading companies say that analytics is integral to how they make decisions

– IBM Survey

A Senior BI Analyst can earn US$89,000 in the United States – PayScale

Today, all business enterprises and departments need extensive business insights, and

Power BI puts the power in your hands. You can easily work with multiple sources of data

and convert the data into a report, graph, or any data visualization of your choice.

Who should take up this course?

Individuals aspiring to be a Business Analyst, Business Development Manager, etc.

Statisticians aiming to implement their statistics skill to derive business insights

Marketing, Finance, Sales, and other domain professionals who need extensive

Business Intelligence


Program Curriculum

Power BI Training Course Content

INTRODUCTION TO POWER BI

1.1 Introduction to Microsoft Power BI

1.2 The key features of Power BI workflow

1.3 Desktop application

1.4 BI service

1.5 File data sources

1.6 Sourcing data from the web (OData and Azure)

1.7 Building a dashboard

1.8 Data visualization

1.9 Publishing to the cloud

1.10 DAX data computation

1.11 Row context

1.12 Filter context

1.13 Analytics pane

1.14 Creating columns and measures

1.15 Data drill down and drill up

1.16 Creating tables

1.17 Binned tables

1.18 Data modeling and relationships

1.19 Power BI components such as Power View, Map, Query, and Pivot

1.20 Power Q&A

1.21 Understanding advanced visualization

Hands-on Exercise: Demo of building a Power BI dashboard, sourcing data from

the web, publishing to the cloud, and creating Power tables

EXTRACTING DATA

2.1 Learning about Power Query for self-service ETL functionalities

2.2 Introduction to data mashup


2.3 Working with Excel data

2.4 Learning about Power BI Personal Gateway

2.5 Extracting data from files, folders, and databases

2.6 Working with Azure SQL database and database sources

2.7 Connecting to Analysis Services

2.8 SaaS functionalities of Power BI

Hands-on Exercise: Connect to a database, import data from an Excel file, connect

to SQL Server Analysis Service, connect to Power Query, connect to SQL Azure,

and connect to Hadoop

POWER QUERY FOR DATA TRANSFORMATION

3.1 Installing Power BI

3.2 Various requirements and configuration settings

3.3 Power Query

3.4 Introduction to Query Editor

3.5 Data transformation – column, row, text, data types, adding and filling columns,

number column, column formatting, transpose table, appending, splitting, and

formatting data, pivot and unpivot, merge join, relational operators, date, time

calculations, working with M functions, lists, records, tables, and generators

3.6 Filters and slicers

3.7 Index and conditional columns

3.8 Summary tables

3.9 Writing custom functions and error handling

3.10 M advanced data transformations

Hands-on Exercise: Install Power BI Desktop and configure the settings, use Query

Editor, write a Power query, and transpose a table

POWER PIVOT FOR DATA MODELING & DATA ANALYSIS EXPRESSION - DAX

QUERIES

4.1 Introduction to Power Pivot

4.2 Learning about the xVelocity engine

4.3 Advantages of Power Pivot

4.4 Various versions and relationships

4.5 Strongly typed datasets


4.6 Data analysis expressions

4.7 Measures, calculated members, rows, filter and evaluation context, context

interactions, context over relations, and schema relations

4.8 Learning about table, information, logical, text, iterator, and time intelligence

functions

4.9 Cumulative charts, calculated tables, and ranking and rank over groups

4.10 Power Pivot advanced functionalities

4.11 Date and time functions

4.12 DAX advanced features

4.13 Embedding Power Pivot in Power BI Desktop

Hands-on Exercise: Create a Power Pivot, apply filters, use advanced

functionalities like date and time functions, embed Power Pivot in Power BI Desktop,

and create DAX queries for calculated columns, tables, and measures

DATA VISUALIZATION WITH ANALYTICS

5.1 Deep dive into Power BI data visualization

5.2 Understanding Power View and Power Map

5.3 Power BI Desktop visualization

5.4 Formatting and customizing visuals

5.5 Visualization interaction

5.6 SandDance visualization

5.7 Deploying Power View on SharePoint and Excel

5.8 Top-down and bottom-up analytics

5.9 Comparing volume and value-based analytics

5.10 Working with Power View to create reports, charts, scorecards, and other

visually rich formats

5.11 Categorizing, filtering, and sorting data using Power View

5.12 Hierarchies

5.13 Mastering the best practices

5.14 Custom visualization

5.15 Authenticating a Power BI web application

5.16 Embedding dashboards in applications

Hands-on Exercise: Create a Power View and a Power Map, format and customize

visuals, deploy Power View on SharePoint and Excel, implement top-down and


bottom-up analytics, create Power View reports, charts, scorecards, etc., add a

custom visual to report, authenticate a Power BI web application, embed

dashboards in applications, categorize, filter, and sort data using Power View, create

hierarchies, use date hierarchies, use business hierarchies, and resolve hierarchy

issues

POWER Q&A

6.1 Introduction to Power Q&A

6.2 Intuitive tool to answer tough queries using natural language

6.3 Getting answers in the form of charts, graphs, and data discovery

methodologies

6.4 Ad-hoc analytics building

6.5 Power Q&A best practices

6.6 Integrating with SaaS applications

Hands-on Exercise: Write queries using natural language, get answers in the form

of charts, graphs, etc., build ad-hoc analytics, and pin a tile and a range to the

dashboard

POWER BI DESKTOP & ADMINISTRATION

7.1 Getting to understand Power BI Desktop

7.2 Aggregating data from multiple data sources

7.3 How Power Query works in the Power BI Desktop environment

7.4 Learning about data modeling and data relationships

7.5 Deploying data gateways

7.6 Scheduling data refresh

7.7 Managing groups, row-level security, datasets, reports, and dashboards

7.8 Working with calculated measures

7.9 Power Pivot on the Power BI Desktop ecosystem

7.10 Mastering data visualization

7.11 Power View on Power BI Desktop

7.12 Creating real-world solutions using Power BI

Hands-on Exercise: Configure security for the dashboard, deploy data gateways,

aggregate data from multiple data sources, schedule data refresh, manage groups,


row-level security, datasets, reports, and dashboards, and work with calculated

measures

MICROSOFT COURSE

8.1 Analyzing data with Power BI

Project Work

Power BI Projects

Report on Student Survey

A survey was conducted among many stores, in which data based on students, i.e., how

much they are spending on different kinds of purchases, such as video games, indoor

games, toys, books, gadgets, etc., was collected. You have to create a Power BI report.

You will get hands-on experience in Tabular visualization, matrix visualization, funnel chart,

pie chart, scatter plot, SandDance plot, etc.

Case Study 1 - Power BI Desktop, Cloud Service, and End-to-end Workflow

The case study deals with ways to design a dashboard with a basic set of visualizations

and deploy it on the Power BI cloud service. Further, a brief top-level overview of Transport

Corp Data is shown using aggregated key performance indicators (KPIs), trends, Gio

distributions, and filters.

Case Study 2 - Visualizations, Configuring Extended Properties, and Data

Calculations DAX - Introduction

This case study explains the way to design a dashboard and perform calculations by

making use of Power BI DAX formulas. The scheduled deliveries of loads are analyzed

using correlation across measures. Moreover, drill-up/drill-down capabilities and reference

lines are implemented.


Case Study 3 - Combination Visualizations for Correlated Value Columns

Here, the dashboard is designed by making use of Power BI DAX formulas to perform

calculations. Bucketed categories are created to represent value measures on the

categories axis. Furthermore, a scatter plot is used to identify outliers or outperformers.

Case Study 4 - Data Transformations

The case study involves designing an audit dashboard by making use of Power Query and

using Query Editor to perform data modeling by applying data transformations, in turn, by

managing relationships.

Case Study 5 - Data Transformations (Cont.)

Here, the dashboard is designed to analyze the trend of admissions into a State University.

Query Editor is used to perform data modeling by applying transformations, such as

append data, split data, column formatting, transpose table, pivot/unpivot, fill columns,

merge join, conditional columns, index columns, and summary tables.

Case Study 6 - Advanced Visualizations

Here, you will design a dashboard to analyze the trend of admissions into state universities

for analyzing advanced visualizations. You will also make use of expressions and filters to

build custom visualizations.

Case Study 7 - Advanced Features of Power BI Cloud Service

Here, there will be a knowledge check on ad-hoc analytics with Power BI Q&A, exploring

dashboard notification and alerts, acquiring data from Google Analytics, and customizing

the pre-loaded visualizations appropriately.

Case Study 8 - Advanced Features of Power BI Desktop Client

In this case study, you need to perform a knowledge check on advanced features of Power

BI Desktop Client by means of integrating custom visualizations and creating SandDance

visualizations.

Case Study 9 - Top-down and Bottom-up Analyses to Identify Shipping Costs

Leakages

You will build a set of visualizations to identify underlying outliers and flip the same set of

visualizations to perform both top-down and bottom-up analyses of Power BI Dashboard.


Case Study 10 - Value and Volume-based Analyses on Hospital Records to Analyze

Charges vs Patients Inflow

In this case study, you will build a set of visualizations linked to dynamic measures to flip

value and volume-based analytics on demand from users.


Certification After the completion of the course, you will get certificates from Microsoft and Intellipaat.


Success Stories

Kevin K Wada

Thank you very much for your top-class service. A special mention

should be made for your patience in listening to my queries and giving

me a solution, which was exactly what I was looking for. I am giving you

a 10 on 10!

Sampson Basoah

The Intellipaat team helped me in selecting the perfect course that suits

my profile. The whole course was practically oriented, and the trainers

were always ready to answer any question. I found this course to be

impactful. Thank you.

Harry Poul

Through this course, I understood complete data visualization with

analytics, data modeling, and a lot more. The course material was

excellent, and the course had a very good support team that solved all

my doubts and queries.

Sugandha Sinha

Intellipaat's course instructors were excellent and well-versed with their

concepts. The support team solved all my queries within the promised 24 hours.

They explained all topics and concepts well, and the course material was

updated and included videos, exercises, etc. I would highly recommend

Intellipaat to those who wish to excel in the IT field.

.


CONTACT US

INTELLIPAAT SOFTWARE SOLUTIONS PVT. LTD.

Bangalore

AMR Tech Park 3, Ground Floor, Tower B, Hongasandra Village, Bommanahalli, Hosur Road, Bangalore – 560068 USA

1219 E. Hillsdale Blvd. Suite 205, Foster City, CA 94404 If you have any further queries or just want to have a conversation with us, then do call us.

IND: +91-7022374614 | US: 1-800-216-8930

power bi - intellipaat.com · global bi and analytics market to grow to us$22.8 billion in the next...

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