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Data Science With R

R is a widely used statistical programming language that’s beloved by users in academia and industry. R works well with data, making it a great language for anyone interested in data analysis, data visualization, and data science. Learn how to program in R and how to use R for effective data analysis. The course covers practical issues in statistical computing including Data Visualization in R.

In this course, you’ll be exposed to fundamental programming concepts in R. After the basics, you’ll learn how to organize, modify and clean data frames, a useful data structure in R. Then you’ll learn how to how to create data visualizations to showcase insights in data! Finish up with statistics and hypothesis testing to become a data analysis expert.

  • A. Introduction
  • B. Data Frames
  • C. Data Cleaning
  • D. Fundamentals of Data Visualization with ggplot2
  • E. Aggregates
  • F. Joining Tables
  • G. Mean, Median, and Mode
  • H. Variance and Standard Deviation
  • I. Quartiles, Quantiles, and Interquartile Range
  • J. Hypothesis Testing
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Yanmarshus Bachtiar
Founder Of Kodenesia

Yanmarshus was the founder of kodenesia. He is the author of popular programming books - Kodenesia - 71 Soal Algoritma Dasar. He also works as Assistant Professor at CCROM IPB, focusing to build decision-relevant information on predicting forecast fire activity in Indonesia. Just drop problem to him, No matter how difficult it is - he will always find a way to solve it.