Data Visualization with Microsoft Power BI

Data visualization and Business intelligence both are required together and play a very important part in any organization’s management team. Business intelligence is a process that makes information easier to understand and data visualization is a method to tell a story of information.

Learning Objectives

On completing this course, learners will be able to:

While learning about Power BI the very first aim is to know how to import Excel and other data sources into the Power BI to design impressive visuals
Cleaned data only can provides amazing visualization
Power Bi is powerful in extracting and meaningful insights from the data
Charts, graphs, and dashboards are some common visualization forms of the data.

Course Content

Importance of data visualization and different types of data that can be visually represented.
Determination of the visualization which is most effective to display data for a given data set.
Introduction to Power BI, Installation of Power BI,
Introduction to power Pivot and Analysis using power Pivot
Concept of Power Pivot,
Introduction to Power Pivot environment
Advantages of Power Pivot
Power Query and Power View,
Data Cleaning in Power BI using Power Query,
Connecting data source in Power BI - Excel, CSV, live data source such as SQL, webpage etc,
Index and Conditional Columns
Writing functions and error handling
DAX Expression,
Measures, Calculated Members, Row, Filter & Evaluation Context, Context Interactions, Context over Relations, Schema Relations
Building basic charts in Power BI,
Chart formatting in Power BI,
Annotation in Power BI,
Summary Tables
Filters in Power BI - Page level filter, visual level filter and report level filters in Power BI, Slicers
Connecting Python to Power BI and running Python scripts,
Dashboard Creation

Deliverables

20 hours of learning – Live online sessions
One-year access to LMS
Our course material
Assessment tests
Post-training support
Certificate of completion post assessment

Who is it for?

MIS Professionals
Business intelligence managers
Data scientists
Entrepreneurs
Students
Business analysts
Project managers

Fees and schedule

Fees

Programme fees: INR 18,000 plus taxes

Schedule

Dates	Timings	Venue
19, 20, 26, 27 April 2025	10:00 AM to 3:00 PM	Cisco Web Ex

Cancellation and refund policy

The refund policy in case of withdrawal of nomination would work as follows:-

A refund of 50% of the fee would be provided for cancellation requests received up to five working days before the training start date
Participants who cancel in less than five working days, or there is no show on the training date are liable to pay the full course fee and would not be entitled to refunds.

Cancellations must be made via emails only. However desirous participants can be accommodated in the future batches of program, without paying anything extra. It is requested that willingness to attend any future program should be communicated at the earliest convenience.