Datacarpentry Альтернативы & Конкуренты
Data Carpentry is a lesson program of The Carpentries that develops and provides data skills training to researchers.
Альтернативы и конкуренты datacarpentry.org по содержанию, трафику и структуре
Tidyverse.
Personal website for Shane Lynn PhD, machine learning researcher and entrepreneur. Blog posts cover data science, analytics, Python, R, data visualisation & innovation.
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Statistics Globe is an education platform providing free programming tutorials - R programming & Python - Statistics & data science.
Home - DataScience Made Simple.
Easily search the documentation for every version of every R package on CRAN and Bioconductor.
STHDA est dédié à l'analyse statistique des données en utilisant le langage R.
R news and tutorials contributed by hundreds of R bloggers
The R graph gallery displays hundreds of charts made with R, always providing the reproducible code.
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Chris Albon.
Learn Data Science with Python and R
Home | Pythonic Perambulations.
Ritchie Ng | Machine Learning, Deep Learning, and Computer Vision.
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ProgrammingR is your one-stop source for learning the R programming language, finding R jobs, hiring R programmers or R consultants, and getting R related help.
Home - Datanovia.
R is a language used for statistical computations, data analysis and graphical representation of data. R is a very popular language in academia.
Python tutorials: Pandas, Statsmodels, Seaborn, Matplotlib. R tutorials: descriptive statistics, importing data, and many more.
Spark By Examples | Learn Spark Tutorial with Examples In this Apache Spark Tutorial, you will learn Spark with Scala code examples and every sample example explained here is available at Spark Examples Github Project for reference. All Spark examples provided in this Apache Spark Tutorials are basic, simple, easy to practice for beginners who
R: The R Project for Statistical Computing.
A comprehensive index of R packages and documentation from CRAN, Bioconductor, GitHub and R-Forge.
Quick-R: Home Page.
Over 1400 graphs with reproducible code divided in 8 big categories and over 50 chart types, in addition of tools to choose and create colors and color palettes
Matplotlib — Visualization with Python.
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Learn Data Science & AI from the comfort of your browser, at your own pace with DataCamp's video tutorials & coding challenges on R, Python, Statistics & more.
Review our step-by-step Data Science tutorials using a variety of tools, such as Python, SQL, MS Access, MS Excel, and more!
Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source.
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Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.
The Python Graph Gallery displays hundreds of charts made with Python, always with explanation and reproduciible code
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Welcome to R CODER This website provides a wide variety of R PROGRAMMING TUTORIALS and a FREE R COURSE developed by experts
Datamentor: Learn to Code in R Programming and Python |.
Definitive Python, Pandas, Machine learning and AWS tutorials with working examples and step by step guides.
Piles of precious data
RStudio provides open source and enterprise-ready professional software for data science.
An R introduction to statistics that explains basic R concepts and illustrates with statistics textbook homework exercises.
This cookbook contains more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works.
Ggplot2: Elegant Graphics for Data Analysis (3e).
Learn to Make Plots in Python and R
ThisPointer – Programming Tutorials.
Learn Python online: Python tutorials for developers of all skill levels, Python books and courses, Python news, code examples, articles, and more.
Do you want to learn Python from scratch to advanced, check out best way to learn python and machine learning from experts.