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Master the Fundamentals of Probability and Statistics

Master the Fundamentals of Probability and Statistics

     
  • 4.6
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₹519

This Course Includes

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  • icon4.6 (14 reviews )
  • icon5h 0m
  • iconenglish
  • iconOnline - Self Paced
  • iconprofessional certificate
  • iconUdemy

About Master the Fundamentals of Probability and Statistics

Dear students, Welcome to this course "Master the Fundamentals of Probability and Statistics"! This course is designed specially for students who are: doing college-level probability and statistics, taking their IGCSE/GCE A level, the IB HL Math examinations or simply anyone who is interested to learn the basics of probability and statistics. At the end of the course, and depending on which exams you are taking, you will learn most/all of the following:

Permutations and Combinations

Classical Probability and Conditional Probability

Discrete Random Variables

Binomial Distribution, Poisson Distribution, Geometric Distribution and Negative Binomial Distribution

Continuous Random Variables

Cumulative Density Functions

Normal Distributions

Sampling, Central Limit Theorem and Estimation Theories

Hypothesis Testing

Confidence Intervals

Correlations and Regression Along the way, there will be quizzes and practice questions for you to get familiarized with the concepts. There may also have bonus lectures which will further enhance your understanding of the topics. If you encounter any problems, please do not hesitate to contact me for more clarifications. I hope that you will find this course useful in your academic and professional pursuit. Enjoy the course! Cheers! ;-) Dr Ling, PhD oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo oo

What You Will Learn?

  • Permutations and Combinations .
  • Conditional Probability .
  • Bayes' Theorem .
  • Discrete Random Variables .
  • Continuous Random Variables .
  • Binomial Distribution .
  • Geometric Distribution .
  • Negative Binomial Distribution .
  • Poisson Distribution .
  • Normal Distribution .
  • Sampling .
  • Confidence Intervals .
  • Hypothesis Testing .
  • Correlations and Regression.