Numbers have an important story to tell ,They rely on you to give them a voice.
objectives:
In this program you will discover from the basics of data visualization, and how to use it to better see, understand and interpret data for better decision making. Using Power BI, we’ll examine the fundamental concepts of data visualization and explore its interface. By the end of the course you will be able to prepare and import data into visualization tools and explain the relationship between data analytics and data visualization.
No prior technical or analytical background is required. The course will guide you through the steps necessary to create your first visualization story from the beginning based on data context, setting the stage for you to advance to the next course in the Specialization.
Data Visualization tools used:
POWER-BI
Who can apply?
Graduates / Post Graduates, Chemical Engineers, Mechanical / Electrical Engineers, Executive Managers, Performance Analyst, Process Engineers, Quality Managers Etc..
Program Code
Duration
Program
Classroom
Online
Onsite
DTTDV
1 Month
Data Visualization
Program Content:
Module 1
Introduction to Visual Analytics
What is visualization?; Need of visualization; Understanding of different types of charts and graphs
Module 2
Getting started with Power BI
Working with Data Extracts in Power BI; Introduction to Area Chart & Learning About Highlighting; Adding a Filter and Quick Filter
Module 3
Working with data sets
Connecting Power BI to your database; Basic functions of Power BI; Creating Calculated Fields; Adding Colors, Labels and Formatting; Exporting Your Worksheet
Module 4
First step to visualization
Joining Data in Power BI; Creating a Map, Working with Hierarchies; Creating a Scatter Plot, Applying Filters to Multiple Worksheets
Module 5
Creating Dashboard (Story-Telling)
Adding an Interactive Action – Filter; Plotting Maps, Scatterplots; Making of Dashboard
Module 6
Starting with advance Power BI
Understanding different types of joins( Inner, outer, left, right); Joins With Duplicate Values and Joining on Multiple Fields; Joining Data vs Blending Data in Power BI
Module 7
Working with Dual axis chart
Data Blending in Power BI; Creating Dual Axis Chart; Creating Calculated Fields in a Blend
Module 8
Advance dashboard (Story-Telling)
Downloading the Dataset and Connecting to Power BI; Mapping: how to Set Geographical Roles; Creating Table Calculations for Gender and Age.; How to Create a Tree Map Chart; Creating a Customer Segmentation Dashboard
Module 9
Advance Data Preparation
Data Interpreter and Pivot; Splitting a Column into Multiple Columns; Meta Data Grid; Fixing Geographical Data Errors in Power BI