Statistics basics
Clear understanding of the difference between classification, regression, and clustering problems to build relevant data science models
Statistical methods are used to find meaning from the data and ensure data collected has been interpreted correctly
Areas to learn
Statistics and probability theory
Probability distributions
Hypothesis testing
Statistical modeling and fitting
Machine Learning
Regression analysis
Bayesian thinking and modeling
Beginners https://www.analyticsvidhya.com/blog/2021/08/a-guide-to-complete-statistics-for-data-science-beginners/
https://studydatascience.org/learn-statistics-for-data-science/
Statistics basics Clear understanding of the difference between classification, regression, and clustering problems to build relevant data science models
Statistical methods are used to find meaning from the data and ensure data collected has been interpreted correctly
Areas to learn Statistics and probability theory Probability distributions Hypothesis testing Statistical modeling and fitting Machine Learning Regression analysis Bayesian thinking and modeling
Resources Khan Academy Youtube: Stats Quest
Intermediate https://www.analyticsvidhya.com/blog/2021/08/intermediate-statistical-concepts-for-data-science/