Home > Data Science > Data Visualisation for Data Science using R
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:
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
