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Data Science

curated by Camillo

Data Science

It is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.

It comes from

↑ Data Analysis

includes the learning paths

- Statistics

- Python

- Machine Learning

- SQL

Related Learning Paths

  • Data Mining
  • Study the basics of

    Statistics

    Manipulate data with

    Python

    Reap knowledge from data with

    Machine Learning

    Learn how to work with

    SQL



  • Dataiku Web Application

    Collaborative data science platform, explore, prototype, build data products

    Upvote

  • Dataskeptic Interviews

    Weekly podcast featuring short mini-episodes explaining high level concepts in data science, and longer interview segments with researchers and practitioners

    Upvote

  • Introduction to Data Science in Python Online Course

    Data manipulation, cleaning analysis, pandas, Series and DataFrames, groupby, merge, and pivot tables, hypothesis testing

    Upvote

  • Introduction to Statistics for Data Science Online Course

    Introduction to statistics, descriptive statistics, correlation and linear regression, introduction to probability, probability distributions

    Upvote

  • Applied Plotting, Charting & Data Representation in Python Online Course

    Principles of Information Visualization, basic charting with Matplotlib

    Upvote

  • Data Science 101 Lessons

    Definition of data science, practioneers, business, use cases

    Upvote

  • Data science methodology Lessons

    Business understanding, analytic approach, data compilation, preparation, modeling, model evaluation

    Upvote

  • Chris Albon

    Code snippets on data manipulation, preprocessing, machine Learning, deep learning, statistics

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  • Python for Data Analysis Non-Fiction

    Manipulating, processing, cleaning, and crunching data with Pandas, NumPy, and IPython

    Upvote

  • Think Stats 2e Online Book

    Exploratory data analysis, distributions, probability mass functions, cumulative distribution functions, modeling, probability density functions, hypothesis testing

    Upvote

  • An Introduction to Statistical Learning Book

    Modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering

    Upvote

  • Python Data Science Handbook E-Book

    Introduction to Numpy, Data Manipulation with Pandas, Visualization with Matplotlib, Machine Learning with Scikit-Learn

    Upvote

  • Data Mining Concepts and Techniques Non-fictional

    Upvote

  • Konwledge Discovery in Databases Techniken und Anwendungen Non-fictional

    Upvote

  • 50 Years Data Science

    This paper reviews some ingredients of the current “Data Science moment”, including recent commentary about data science in the popular media, and about how/whether Data Science is really different from Statistics.

    Upvote

  • Python for Data Analysis Non-Fiction

    Manipulating, processing, cleaning, and crunching data with Pandas, NumPy, and IPython

    Upvote

  • Introduction to Data Science in Python Online Course

    Data manipulation, cleaning analysis, pandas, Series and DataFrames, groupby, merge, and pivot tables, hypothesis testing

    Upvote

  • Think Stats 2e Online Book

    Exploratory data analysis, distributions, probability mass functions, cumulative distribution functions, modeling, probability density functions, hypothesis testing

    Upvote

  • An Introduction to Statistical Learning Book

    Modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering

    Upvote

  • Dataquest Online Courses

    Writing code and working with real-life data sets from your browser

    Upvote

  • Python Data Science Handbook E-Book

    Introduction to Numpy, Data Manipulation with Pandas, Visualization with Matplotlib, Machine Learning with Scikit-Learn

    Upvote

  • Introduction to Statistics for Data Science Online Course

    Introduction to statistics, descriptive statistics, correlation and linear regression, introduction to probability, probability distributions

    Upvote

  • Applied Plotting, Charting & Data Representation in Python Online Course

    Principles of Information Visualization, basic charting with Matplotlib

    Upvote

  • Data Science 101 Lessons

    Definition of data science, practioneers, business, use cases

    Upvote

  • Data science methodology Lessons

    Business understanding, analytic approach, data compilation, preparation, modeling, model evaluation

    Upvote

  • Data Mining Concepts and Techniques Non-fictional

    Upvote

  • Konwledge Discovery in Databases Techniken und Anwendungen Non-fictional

    Upvote

  • Dataskeptic

    Weekly podcast featuring short mini-episodes explaining high level concepts in data science, and longer interview segments with researchers and practitioners

    Upvote

  • 0% Module 1
    1% Module 2
    0% Module 3
    0% Module 4

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    is curator for
    Data Science