What is Data Science?

• 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.

Data Science using Python / Various other helpful tools and resources

• Spacy - Open source toolkit for working with text-based data.

What is Data Science?

• Data Science for Business (Book) - An introduction to Data Science and its use as a business asset.

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.

What is Data Science?

• Explanation of important vocabulary - Differentiation of Big Data, Machine Learning, Data Science.

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 / Learning Python

• YouTube tutorial series by sentdex

Data Science using Python / pandas

• DataCamp pandas foundations - Paid course, but 30 free days upon account creation (enough to complete course).

• Pandas cheatsheet (⭐42k) - Quick overview over the most important functions.

Data Science using Python / Jupyter Notebook

• 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 (⭐16k) - Successfully used in many Kaggle challenges.

• Amazon AWS - Rent cloud servers for more timeconsuming calculations (r4.xlarge server is a good place to start).

Data Science Challenges for Beginners / Various other helpful tools and resources

• 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.

What is Data Science?

• 'What is Data Science?' on Quora

Common Algorithms and Procedures

• Scientific introduction to 10 important Data Science algorithms

Data Science using Python / scikit-learn

• Scikit-learn complete user guide

• Model ensemble: Implementation in Python

Common Algorithms and Procedures

• 9 important Data Science algorithms and their implementation

Data Science using Python / Learning Python

• Interactive Python tutorial website

Data Science using Python / numpy

• Numpy tutorial on DataCamp

Data Science using Python / pandas

• Introduction to pandas

Data Science using Python / scikit-learn

• Introduction and first model application

• Rough guide for choosing estimators

Data Science using Python / Jupyter Notebook

• Downloading and running first Jupyter notebook

• Example notebook for data exploration

Data Science using Python / Various other helpful tools and resources

• Template folder structure for organizing Data Science projects (⭐7.7k)

More advanced resources and lists / Various other helpful tools and resources

• Awesome Data Science (⭐24k)

• Data Science Python (⭐5.1k)

• Machine Learning Tutorials (⭐15k)