- 4+ Hours
of Live Webinars
Data Visualisation for Data Science using R
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.
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.
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
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
Visual Communication Design
Datasets and Graphs
Text, Pictures, Icons, Animation
Layout and Formatting, Context
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
Visualizing structured data
Mediums of visualization - dashboards, scorecards, infographics and others
Visualizing big data types
Data story design process
Edward Tufte's and other principles
Choosing the right graphs and interaction abilities
Story development and delivery