Here is a list of valuable statistics resources for data scientists, along with descriptions and links:
Introduction to Probability, Statistics and Random Processes
It's the best free online tutorials on statistics and probability. It covers fundamental concepts of counting, discrete and continuous probability, statistical inference, random process, and statistical simulations. It's a comprehensive review of all probability and statics concepts, which follow by problems and solutions. The problems are commonly asked during the real data science interviews.
Khan Academy - Statistics and Probability:
Khan Academy provides free online tutorials on statistics and probability. It covers fundamental concepts, data analysis, and probability theory.
Coursera - Statistics with R Specialization:
A Coursera specialization that covers statistical concepts using the R programming language. It includes courses on statistical inference, regression models, and Bayesian statistics.
Statistics.com:
Statistics.com offers online courses in various statistical topics. It covers a range of subjects, including regression analysis, experimental design, and machine learning.
OpenIntro Statistics:
OpenIntro Statistics provides a free, open-source textbook on introductory statistics. It covers topics like probability, inference, and regression.
Stat Trek - Statistics and Probability Tutorial:
Stat Trek offers tutorials and explanations on statistics and probability concepts. It includes resources for descriptive statistics, inferential statistics, and hypothesis testing.
Stanford Online - Statistical Learning:
A Stanford Online course on statistical learning, covering concepts such as linear regression, classification, and resampling methods. The course uses R programming.
Statistical Learning Course
MIT OpenCourseWare - Introduction to Probability and Statistics:
MIT's OpenCourseWare provides free access to course materials, including lecture notes and assignments for an introductory probability and statistics course.
DataCamp - Statistical Thinking in Python:
DataCamp offers a course on statistical thinking using Python. It covers exploratory data analysis, hypothesis testing, and regression analysis.
Udacity - Intro to Statistics with Python:
Udacity provides an introductory course to statistics using Python. It covers topics such as probability, hypothesis testing, and regression analysis.
Google's Statistics and Data Science Resources:
Google's resource page provides links to various statistics and data science resources, including tutorials, articles, and datasets.
These resources cover a wide range of statistical topics and cater to different skill levels, making them valuable for data scientists seeking to enhance their statistical knowledge.
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