Duration : 30 days | 1hr theory/day 1hr Practical

 

Introduction to Power BI

 

Learning Objective: This module will introduce you to Power BI, its Building Blocks
and the various fundamental concepts of Power BI.

 

Topics:

 

Overview of BI concepts
Why we need BI ?
Introduction to SSBI
SSBI Tools
Why Power BI?
What is Power BI?
Building Blocks of Power BI
Getting started with Power BI Desktop

 

Hands-On:
Explore Power BI Desktop
First Report on Power BI Desktop

 

Power BI Desktop

Learning Objective: This module will introduce you to Power BI Desktop, extract data from various  sources and establish connections with Power BI Desktop, perform Transformation operations on  data and know the Role of Query Editor in Power BI.

Topics:

 

Power BI Desktop
Extracting data from various sources
Workspaces in Power BI
Data Transformation
Measures and Calculated Columns
Query Editor

 

Hands-On:

Install Power BI Desktop | Data Transformation | Using Query Editor

 

Data Analysis Expressions (DAX)


Learning Objective: This module will help you understand the relationships between data tables, and you will learn the following - DAX Calculation Types, DAX Functions for Advanced Calculations, Time Intelligence Functions, Variables in DAX expressions and Table Relationships in DAX

 

Topics:

 

Modelling Data
Manage Data Relationship
Optimize Data Models
What is DAX?
Data Types in DAX
Calculation Types
DAX Functions: Date and Time, Time Intelligence,
Information, Logical, Mathematical, Statistical, Text and Aggregate
Measures in DAX

 

Hands-On:


Create relationships | Data Types in DAX | Calculated Columns
Explore DAX Functions such as Aggregation, Counting, Logical, Information, Text
Time Intelligence Functions | Creating Calculated Measure


 

Data Visualization

 

Learning Objective: This module will help you understand the benefits of Data Visualization, Best Practices of Data Visualization, Power BI Desktop Visualization, Custom Visuals in Power BI, Formatting Visuals and create Charts, Score Cards and other Visualization items in Power View

 

Topics:

 

How to use Visual in Power BI ?
Charts in Power BI
Matrixes and tables
Slicers
Map Visualizations
Gauges and Single Number Cards
R Visuals in Power BI
What Are Custom Visuals ?
KPI Visuals
Data Binding
Power BI report server

 

Introduction to Power BI Q&A and Data Insights


Learning Objectives: This module covers Power BI Q&A which is currently available as part of the Power BI for Office 365 Preview. You will also learn about Dashboards, Reports, Tiles Quick Insights and Power BI Publisher.

 

Topics:

 

Why Dashboard?
Dashboard vs Reports
Creating Dashboards
Configuring a Dashboard: Dashboard Tiles, Pinning Tiles
Power BI Q&A
Quick Insights in Power BI
Power BI embedded
REST API

 

Hands-On:


Explore Power BI Q&A | Creating a Dashboard | Run Quick Insights on a Dataset
Connect to Power BI Data in Excel
Pinning a Tile to a Dashboard | Pin a range to a Dashboard
Monitor Real-time Data with REST API


Direct Connectivity


Learning Objectives: In this module, you will be connecting directly to Azure, HD Spark, My SQL, and create interactive dashboards.

Topics:

Custom Data Gateways
Exploring live connections to data with Power BI
Connecting directly to SQL Azure, HD Spark, and SQL Server Analysis Services/ My SQL
Introduction to Power BI Development API
Excel with Power BI: Connect Excel to
Power BI, Power BI Publisher for Excel
Content packs
Update content packs

Hands-On:
Connecting Power BI with Azure, HD Spark, SSAS
Connecting Excel to Power BI
Use the developer API to create custom visuals
Creating content packs

 

Integrating Power BI and Azure ML


Learning Objectives: In this module, you will learn to integrate Azure Machine Learning model inside Power BI. Using Azure ML, Power BI regularly brings in the latest output of business model for analysis.

 

Topics:

 

Extracting data out of Azure SQL using R
Using R, call the Azure ML web service and send it the unscored data
Writing the output of the Azure ML model back into SQL
read scored data into Power BI using R
Publishing the Power BI file to the Power BI service
Scheduling a refresh of the data using the Personal Gateway

 

Hands-On:

 

Extracting data from Azure SQL using R
Writing the Output of the Azure ML back to SQL
Publishing the file to Power BI service | Calling Azure ML web service using R
Reading scored data into Power BI | Scheduling a refresh of the data

 

Project

 

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Our Specialities

Batch Flexibility

Students can choose a batch of their choice, weekend batches are available for working professionals



Very Less Fee Structure

Comapred to other institute fee structure here is very less



Effective Training

Practical Courses provide effective training since it covers all the areas of the course.



Certificate

Course Completion certificates will be issued after the courses



Course materials

Softcopy of course material will be given to every student



Placement Assistance

Placement support will be done after the course completion



Individual Support

Teachers can focus on the query of all students individually.



Live Training

While studying you will be working on live projects for better understanding.



Practical Training

courses are more focused on practical knowledge and Live Training rather than theoretical knowledge.



 

Courses Offered
Advanced Excel & MIS Course

vba & macros course

SAS Base & Advanced Course

Clinical sas Course

Statistical Analysis SAS Course

MSBI SSIS SSRS SSAS Course

Tableau Course

Business Analytics

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Photoshop Course

Adobe illustrator Course

Corel draw Course

Graphic designing Course

Infographics Course

Web designing Course

Video editing Course

Audio editing Course

3D Animation Course

 

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