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    Data Science, Introduction

    First, it is first important to clarify the terminology, data science. Along the path the broad field of data science is covered.

    Curated by Camillo

    Beginner Lvl 1
    8h
    5.3k
    4.6(21,556)

    Python Learn the basics of

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    1. Module
    40

    Data Science 101

    Cognitive class

    In this course you can develop insights on the Data Science field by learning about the definition of data science, practioneers, business, and use cases

    These lessons provide you with a general idea about Data Science which is a good foundation.

    MARK AS DONE
    Author: Shingai Manjengwa   
    Time required: 8h
    Cost: 0€
    40

    Data science methodology

    Cognitive class

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

    A full Data Science project follows the stages from problem definition over modelling to feedback.

    MARK AS DONE
    Author: John B. Rollins Polong Lin   Alex Aklson
    Time required: 8h
    Cost: 0€
    2. Module
    40

    DataQuest.io

    The courses will show you the basics of Python programming. The emphasis will be on writing code and working with data sets.

    Register for free and try the 'Data Scientist In Python' path to start coding!

    MARK AS DONE
    Author:    
    Time required: 8h
    Cost: 0€
    40

    Chris Albon

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

    Go through the very helpful code blocks!

    MARK AS DONE
    Author:    
    Time required: 8h
    Cost: 0€
    40

    Introduction to Statistics for Data Science

    openSAP

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

    MARK AS DONE
    Author: Michael Jordan   
    Time required: 8h
    Cost: 0€
    3. Module
    40

    Python Data Science Handbook

    O'Reilly Media

    This book will emcompasses data manipulation with Pandas, visualization with Matplotlib, Machine Learning with Scikit-Learn

    This book provides a good overview and serves as a additional resource!

    MARK AS DONE
    Author: Jake VanderPlas   
    Time required: 8h
    Cost: 0€
    40

    Dataskeptic

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

    MARK AS DONE
    Author: Kyle Polich Linh Da Tran  
    Time required: 8h
    Cost: 0€
    4. Module
    40

    Datacamp

    Pick a course of your interest like 'Introduction to Network Analysis in Python'!

    MARK AS DONE
    Author:    
    Time required: 8h
    Cost: 10€
    5. Extras
    40

    Dataiku

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

    MARK AS DONE
    Author:    
    Time required: 8h
    Cost: 0€
    40

    Allen Downey

    Olin College

    Book author, bayesian statistics

    MARK AS DONE
    Author:    
    Time required: 8h
    Cost: 0€