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 is required but Python and statistics basics will definitely come in handy. These resources have been used successfully for many beginners at my local Data Science student group ML-KA.
Differentiation of Big Data, Machine Learning, Data Science.
An introduction to Data Science and its use as a business asset.
Technical Skills for the Data Science: This emphasizes the practical skills needed throughout the data science process.
The two most common types of Machine Learning algorithms.
Evaluate the performance of your algorithm/model.
Modifying the data to better model predictions.
Combine multiple models into one for better performance.
This list covers only Python, as many are already familiar with this language. Data Science tutorials using R.
Data processing, implementation, and visualization with example code.
Online Course using Python that covers most of the relevant toolkits.
numpy is a Python library which provides large multidimensional arrays and fast mathematical operations on them.
Paid course, but 30 free days upon account creation (enough to complete course).
Quick overview over the most important functions.
pandas provides efficient data structures and analysis tools for Python. It is build on top of numpy.
scikit-learn is the most common library for Machine Learning and Data Science in Python.
Plot library that works great with Jupyter.
Jupyter Notebook is a web application for easy data visualisation and code presentation.
Contains most of the important Python packages for Data Science.
Open source toolkit for working with text-based data.
Successfully used in many Kaggle challenges.
Rent cloud servers for more timeconsuming calculations (r4.xlarge server is a good place to start).
Walkthrough through a simple challenge on house prices.
Predict if a donor will donate again.
Predict survival on the Titanic.
Predict the operating condition of water pumps in Africa.
Sorted by increasing complexity.