Statistics is a core part of data science. However, as the authors of the book say, many data scientists lack formal training in statistics.Practical Statistics for Data Scientistsis a great resource to fill this gap. This excellent book provides practical guidance on applying statistical methods ...
Topic-wise, Think Stats is really similar to Practical Statistics for Data Scientists. I wanted to have it on the list, though, because even if the topic is the same, different writers usually approach things differently. On a topic as complex as data science, I think it’s worth looking...
This book covers various techniques that can be used to interpret real data sets. As the name suggests, Thinks Stats Probability and Statistics for Programmers by Allen B. Downey is a book on descriptive statistics for aspiring computer science professionals. It has specifically been geared towards...
Statistics for Data Science, Data and Business Analysis Learn More on Udemy.com In this course, you will build SEVERAL hands-on systems using natural language processing, or NLP – the branch of machine learning and data science that deals with text and speech. This course is not in my ...
Books on Stata Books on statistics: All subjects (by author) All subjects (by title) Behavioral science Biostatistics and epidemiology Causal inference Categorical, count, and censored outcomes Data management Data resampling Econometrics Experimental design and linear models Generalized linear models Gra...
Books on Stata Books on statistics: All subjects (by author) All subjects (by title) Behavioral science Biostatistics and epidemiology Causal inference Categorical, count, and censored outcomes Data management Data resampling Econometrics Experimental design and linear models Generalized linear models Gra...
Prob 140 (formally Statistics 140 or STAT 140) is a probability course for undergraduates who have taken Data 8, have a math background, and wish to go deeper into the theory of data science. The emphasis on simulation and the bootstrap in Data 8 gives students a concrete sense of random...
"Practical Statistics for Data Scientists: 50 Essential Concepts" by Peter Bruce and Andrew Bruce Master the statistical concepts essential for data science, with applications in R and Python. 📊📏 "Machine Learning Yearning" by Andrew Ng Learn from one of the best! Practical advice on struc...
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The materials here form a textbook for a course in mathematical probability and statistics for computer science students. Throughout the units, mathematical theory and applications are interwoven, with a strong emphasis on modelling. an introduction to statistical learning with applications in r ...