Data Science Tutorials & Resources for Beginners

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Data Science Tutorials & Resources for Beginners

If you want to know more about Data Science but don’t know where to start this list is for you! chart_with_upwards_trend

No previous knowledge required but Python and statistics basics will definitely come in handy. These ressources have been used successfully for many beginners at my local Data Science student group ML-KA.

Contents

What is Data Science?

Common Algorithms and Procedures

Data Science using Python

This list covers only Python, as many are already familiar with this language. Data Science tutorials using R.

Learning Python

numpy

numpy is a Python library which provides large multidimensional arrays and fast mathematical operations on them.

pandas

pandas provides efficient data structures and analysis tools for Python. It is build on top of numpy.

scikit-learn

scikit-learn is the most common library for Machine Learning and Data Science in Python.

Jupyter Notebook

Jupyter Notebook is a web application for easy data visualisation and code presentation.

Various other helpful tools and resources

Data Science Challenges for Beginners

Sorted by increasing complexity.

More advanced resources and lists

Source: github