Data Science Tutorials & Resources for Beginners
:chart_with_upwards_trend: Curated list of resources to help you get started with Data Science
This page lists names, links and short descriptions. The original list on GitHub is the source and belongs to its authors.
What is Data Science?
Explanation of important vocabulary
Differentiation of Big Data, Machine Learning, Data Science.
Data Science for Business (Book)
An introduction to Data Science and its use as a business asset.
Data Science Process: A Beginner’s Comprehensive Guide
Technical Skills for the Data Science: This emphasizes the practical skills needed throughout the data science process.
Common Algorithms and Procedures
Supervised vs unsupervised learning
The two most common types of Machine Learning algorithms.
Cross validation
Evaluate the performance of your algorithm/model.
Feature engineering
Modifying the data to better model predictions.
Model ensemble: Explanation
Combine multiple models into one for better performance.
Data Science using Python >General
O'Reilly Data Science from Scratch (Book)
Data processing, implementation, and visualization with example code.
Coursera Applied Data Science
Online Course using Python that covers most of the relevant toolkits.
In 2 lists
Data Science using Python >Learning Python
Data Science using Python >numpy
numpy
is a Python library which provides large multidimensional arrays and fast mathematical operations on them.
In 2 lists
Data Science using Python >pandas
pandas
provides efficient data structures and analysis tools for Python. It is build on top of numpy.
In 2 lists
DataCamp pandas foundations
Paid course, but 30 free days upon account creation (enough to complete course).
Pandas cheatsheet
Quick overview over the most important functions.
In 9 listsDetails
Data Science using Python >scikit-learn
scikit-learn
is the most common library for Machine Learning and Data Science in Python.
Data Science using Python >Jupyter Notebook
Jupyter Notebook
is a web application for easy data visualisation and code presentation.
In 6 listsDetails
Seaborn data visualization tutorial
Plot library that works great with Jupyter.
Data Science using Python >Various other helpful tools and resources
Anaconda Python distribution
Contains most of the important Python packages for Data Science.
LightGBM gradient boosting framework
Successfully used in many Kaggle challenges.
In 8 listsDetails
Amazon AWS
Rent cloud servers for more timeconsuming calculations (r4.xlarge server is a good place to start).
In 7 listsDetails
Data Science Challenges for Beginners
Walkthrough: House prices challenge
Walkthrough through a simple challenge on house prices.
Blood Donation Challenge
Predict if a donor will donate again.
Titanic Challenge
Predict survival on the Titanic.
Water Pump Challenge
Predict the operating condition of water pumps in Africa.
More advanced resources and lists
In 2 lists
Data Science Python
Python tutorials for Data Science, NLP and Machine Learning
In 3 lists
Machine Learning Tutorials
Machine learning and deep learning tutorials, articles and other resources.
In 4 listsDetails
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