Data Science and Analytics using R programming

Learn to Describe, Visualize and Analyze data using R; Learn basic Statistical Inference and Regression Methods using R


This course teaches and demonstrates some of the most basic, yet crucial concepts in Data Science and Analytics.

  1. We will introduce R and the features that make it so useful as a Data Science and Data Analytics platform.
  2. We will introduce RStudio, the most popular, free Integrated Development Environment for writing R code.
  3. We will learn common methods for reading data into R and how to create and use dataframes in R.
  4. We will learn about R Packages — how to find them, install them and use them in R.
  5. We will learn how to visualize univariate data. In particular, we will learn how to use R to create common univariate graphs (e.g. bar plots, histograms, density plots, box plots)
  6. We will learn how to summarize data in R, including the use of descriptive statistics and cross-tabulations.
  7. We will learn Statistical methods for analyzing relationships between two variable using R (e.g. correlations, t-tests, chi-square tests).
  8. We will learn more on how to visualize multi-variate data. In particular, we will learn how to use R to visualize relationships among two or more variables (e.g. scatter plots, scatter-plot matrices, line plots, correlograms, mosaic plots).
Who is the target audience?
  • This course is for you if you are a student or a working professional who want to learn Data Analytics
  • This course is for you if you want to learn Programming, using R.
  • This course is for you if you want to learn basic Statistics, using R.

Full Details : [ Take Course Now ]

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