R Programming for Data Science for Absolute Beginners

Gain valuable R programming skills with this comprehensive course! Perfect for beginners with no prior experience in R, this course will build your confidence and equip you with the tools to analyze data effectively.

Lifetime access to course materials and a 100% money-back guarantee ensure you have a risk-free learning experience.

What you'll learn:

• R for Beginners: Start your journey with the fundamentals of R programming, progressing from basic concepts to intermediate and advanced techniques.
• Data Visualization: Master the art of creating compelling data visualizations for diverse datasets. Learn to use various plot types, including:
  • Scatter plots
  • Box plots
  • Histograms
  • Bar charts
• R Data Types & Objects: Understand and utilize essential R datatypes and R objects, such as:
  • Vectors
  • Factors
  • Dataframes
  • Matrices
  • Lists
• Programming Fundamentals: Develop your coding skills by creating your own functions, loops, and conditions in R.
• Data Manipulation: Perform various mathematical operations on dataframes, vectors, lists, and other R objects.
• Inference through Plotting: Learn when, which, and how to plot data to draw meaningful business insights.
• Real-World Data Analysis: Work with practical datasets, including:
  • Bank Marketing Data: Analyze a dataset with 45,000 records to derive actionable insights.
  • Uber Demand & Supply Data: Conduct root cause analysis of the Uber demand-supply gap using real Uber datasets. This includes:
    • Data visualization to uncover key insights.
    • Preparing a presentation for company leadership.
• Case Study: Apply your newly acquired R skills to solve a real-world problem:
  • Credit Card Eligibility: Identify eligible customers for credit card issuance using R functions and loops.

This course is ideal for anyone looking to learn R programming for data analysis, data science, or business intelligence. Start building your data analysis career today!