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Understanding Data Analysis Using R

Available in Moodle
Course cover

About this course

Why This is
needed Course & Target Audience:
  In today’s data-driven world, the
ability to analyze and interpret data is crucial for making informed decisions
in any field. R is one of the most widely-used tools for statistical computing,
offering powerful capabilities for data analysis, visualization, and predictive
modeling. This course is needed because of Growing Demand for Data Analysis
Skills, Hands-on Learning with a Leading Tool, Increased Analytical
Capabilities and Industry Relevance. The target audience are Aspiring Data
Scientists and Analysts, Researchers and Academics, Business Professionals and
Managers, Students in STEM Fields and Professionals in Public Health, Social
Sciences, and Economics.

Course
Objectives: 

Course outcomes:

Master Data
Import and Cleaning Techniques

Proficiency in
Data Cleaning and Manipulation

Conduct
Exploratory Data Analysis (EDA)

Strong
Analytical Skills in Statistics and Modeling

Apply
Statistical and Predictive Modeling

Advanced Data
Visualization Abilities

Create
Effective Data Visualizations and Reports

Experience with
Reporting and Automation