Statistical Thinking and Data Science with R.

Statistical Thinking and Data Science with R.

R from A-Z! Statistics, Advanced Regression,Visualizations, Probabilities, Inference, Simulations and Machine learning.



Sub Category

  • Data Science

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Objectives

  • Use statistics to Make Business decisions.
  • Learn R from Scratch and Become Excellent in it!
  • Fundamentals of Probability.
  • Continuous and Discrete Distributions Properties.
  • How to fit distributiions.
  • How to make Business simulations.
  • Hypothesis Testing for different business problems.
  • Regression models understanding and inference.
  • Measuring the relative risk, odds and odds ratio of choices.
  • Making data driven decisions
  • Cleaning, manipulation and Visualization of data.
  • Feature selection and regularized regression models.
  • Binomial and multinomial logistic regression models magic!
  • How to detect and remove outliers.
  • Measures of spread and centrality.
  • The use of Bayesian analysis to estimate distributions.
  • learn how to use tidy models the standard machine learning package in R


Pre Requisites

  1. Motivation to learn R.
  2. Boost your skills to advance your career.
  3. Nag for numbers and analytics.


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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