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What is this?
A curated list of data science cheatsheets covering Python, R, math, big data, machine learning, deep learning, SQL, and data visualization, meant to be a quick-reference collection rather than a tutorial.
A curated list of data science cheatsheets covering Python, R, math, big data, machine learning, deep learning, SQL, and data visualization, meant to be a quick-reference collection rather than a tutorial.Is this a tutorial or just a reference list?It is an index of links to PDF cheatsheets (and a few web pages), organized by topic, not original written content or a course.
It is an index of links to PDF cheatsheets (and a few web pages), organized by topic, not original written content or a course.How is the list organized so I can find what I need?It is grouped into sections like Python, R, Math and Calculus, Big Data, Machine Learning, Deep Learning, SQL, and Data Visualization, each with sub-topics linking to a specific cheatsheet.
It is grouped into sections like Python, R, Math and Calculus, Big Data, Machine Learning, Deep Learning, SQL, and Data Visualization, each with sub-topics linking to a specific cheatsheet.Do I need any particular tool before using these cheatsheets?No, you just need a PDF viewer; the cheatsheets cover tools like Python, R, Spark, SQL, Keras, and Jupyter but you don't need all of them installed to browse the sheets.
No, you just need a PDF viewer; the cheatsheets cover tools like Python, R, Spark, SQL, Keras, and Jupyter but you don't need all of them installed to browse the sheets.Are all the cheatsheets original content from this repo?No, they are collected from various external sources like Datacamp, RStudio, and individual contributors (e.g. @afshinea, @ml874), so quality and format vary by sheet.
No, they are collected from various external sources like Datacamp, RStudio, and individual contributors (e.g. @afshinea, @ml874), so quality and format vary by sheet.Who is this useful for?Data scientists, students, and anyone learning Python, R, SQL, machine learning or deep learning who wants quick reference material instead of reading full documentation.
Data scientists, students, and anyone learning Python, R, SQL, machine learning or deep learning who wants quick reference material instead of reading full documentation.Where should a beginner start?Start with the Python or R Basics cheatsheets under the Datacamp section, then move to Pandas, Numpy, and Jupyter before going into Machine Learning or Deep Learning topics.
Start with the Python or R Basics cheatsheets under the Datacamp section, then move to Pandas, Numpy, and Jupyter before going into Machine Learning or Deep Learning topics.Is the list still updated?The README does not state an update cadence, but it credits multiple contributors and sources over time, suggesting it has grown incrementally rather than being actively maintained on a schedule.
The README does not state an update cadence, but it credits multiple contributors and sources over time, suggesting it has grown incrementally rather than being actively maintained on a schedule.What topics get the most coverage?R and Python each have the most entries, covering basics, data manipulation (Dplyr, data.table, Pandas), and visualization (ggplot2, Matplotlib, Seaborn), alongside dedicated sections for SQL, big data (Pyspark, Dask, Sparklyr) and deep learning.
R and Python each have the most entries, covering basics, data manipulation (Dplyr, data.table, Pandas), and visualization (ggplot2, Matplotlib, Seaborn), alongside dedicated sections for SQL, big data (Pyspark, Dask, Sparklyr) and deep learning.What are similar projects?Machine-Learning-Tutorials, cheatsheets-ai, go, data-science-ipython-notebooks, awesome-machine-learning, awesome-datascience, fg-data-profiling, machine-learning-for-software-engineers
Machine-Learning-Tutorials, cheatsheets-ai, go, data-science-ipython-notebooks, awesome-machine-learning, awesome-datascience, fg-data-profiling, machine-learning-for-software-engineersWhich topics is it in?datascience, r, spark, jupyter, big-data, cheatsheet, programming, data-visualization, sql, data-science, learning-resources, dashboard
datascience, r, spark, jupyter, big-data, cheatsheet, programming, data-visualization, sql, data-science, learning-resources, dashboard