Statistics for Data Science: What is Skewness and Why is it Important?
Overview Skewness is a key statistics concept you must know in the data science and analytics fields Learn what is skewness, and why it’s …
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Normal Distribution
Statistics for Data Science: What is Normal Distribution?
Introduction to the Normal Distribution Have you heard of the bell curve? It tends to be among the most discussed water-cooler topics among people …
Statistics for Data Science: Introduction to the Central Limit Theorem (with implementation in R)
What is the central limit theorem? What are it’s applications? And how can you implement the central limit theorem in R? Find out in this article!
6 Common Probability Distributions every data science professional should know
Introduction Welcome to the world of Probability in Data Science! Let me start things off with an intuitive example. Suppose you are a teacher …
Basics of Probability for Data Science explained with examples in R
Introduction Statistically, the probability of any one of us being here is so small that you’d think the mere fact of existing would keep …
Comprehensive & Practical Inferential Statistics Guide for data science
Introduction Statistics is one of the key fundamental skills required for data science. Any expert in data science would surely recommend learning / upskilling yourself …
