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Data Visualisation for Data Science using R
Add a layer of storytelling to your data mining skills with powerful visualization tools and help businesses improve their decision making through our Data Visualization course.
40+
Hours
24x7
Online LMS
8
Demonstrations
4+ Hours
of Live Webinars
40+
Hours
Hours
24x7
Online LMS
Online LMS
8
Demonstrations
Demonstrations
4+ Hours
of Live Webinars
of Live Webinars
₹ 15,800
Ask us everything about the program
Data Visualisation for Data Science using R
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Overview
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Generate Powerful ReportsThis course will help you visualise business data and generate powerful intelligence reports. -
Visual Data DiscoveryLearn the visual data discovery tools that are bound to grow 2.5x faster than rest of BI market. -
Who Should AttendData analysts, project managers, quality management professions, product managers. -
Salary PackagesAn experienced data visualization expert can earn an average salary of ₹9 lakhs per year. -
Online Live Sessions by ExpertsDiscuss the current trends in Business Intelligence and clear your doubts online.
Generate Powerful Reports
This course will help you visualise business data and generate powerful intelligence reports.
Visual Data Discovery
Learn the visual data discovery tools that are bound to grow 2.5x faster than rest of BI market.
Who Should Attend
Data analysts, project managers, quality management professions, product managers.
Salary Packages
An experienced data visualization expert can earn an average salary of ₹9 lakhs per year.
Online Live Sessions by Experts
Discuss the current trends in Business Intelligence and clear your doubts online.
About Course
What skill separates a good business data analyst from a great one? The ability to weave data sets into a story to communicate its practical implications in a way that non-technical people can understand. Manipal Prolearn’s Data Visualization course will help you to understand the importance of visualization in the decision-making process and build your expertise to perform data visualization in R and Tableau.
By the end of this course, you will be able to generate powerful business intelligence reports and dashboards that will help people in your organization make better decisions and take action based on their business data.
What skills you learn
After completing the data visualization course, you’ll be considered as a strong and competent Data Visualizer. This course will help you to:
- Understand the strategic importance of visualization in enterprises
- Describe different types of graphs used in structured and unstructured data visualization
- Describe different types of graphs used in statistical data visualization
- Harness the power of storytelling and Infographics to make data visualization simpler
- Create simple data visualizations in Tableau and R
Who Should Attend this course
Data analysts interested in data visualization
Project managers and architects from IT background
Quality management professions/product managers analysing the market or sales data
Entry level data scientists, business analysts and BI Professionals
Data analysts interested in data visualization | Project managers and architects from IT background |
Quality management professions/product managers analysing the market or sales data | Entry level data scientists, business analysts and BI Professionals |
Key Features
R & Tableau Online Training
Get hands-on practice in creating simple visualizations using popular platforms like Tableau and R.
Experiential Learning Model
The comprehensive curriculum of our Data Visualization course is taught through videos, demos, live webinars, R & Tableau training material, and illustrations.
Superior Learning Outcome
During the course, you’ll learn data visualization in R and Tableau for statistical data, structured data and unstructured data.
Request a Call Back
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Course Curriculum
1.1 Visual Communication Elements
Visual Communication Design
Datasets and Graphs
Text, Pictures, Icons, Animation
Layout and Formatting, Context
1.2 Visualizing Statistical Data
Getting Right Data for Visualization
Visualizing Numeric, Categorical Data, Multiple Variables, Multiple Dimensions in 2D
Visualizing Time and Space Dimension and Relationship Between Measures and Categories
2.1 Visualizing Structured and Big Data
Visualizing structured data
Mediums of visualization - dashboards, scorecards, infographics and others
Visualizing big data types
3.1 Storytelling with Data
Data story design process
Edward Tufte's and other principles
Choosing the right graphs and interaction abilities
Story development and delivery
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