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awesome-learn-datascience
:chart_with_upwards_trend: Curated list of resources to help you get started with Data Science
https://github.com/siboehm/awesome-learn-datascience
Last synced: 5 days ago
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What is Data Science?
- 'What is Data Science?' on Quora
- 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 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.
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Common Algorithms and Procedures
- Supervised vs unsupervised learning - The two most common types of Machine Learning algorithms.
- 9 important Data Science algorithms and their implementation
- Cross validation - Evaluate the performance of your algorithm / model.
- Feature engineering - Modifying the data to better model predictions.
- Scientific introduction to 10 important Data Science algorithms
- Model ensemble: Explanation - Combine multiple models into one for better performance.
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Data Science using Python
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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.
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Learning Python
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numpy
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pandas
- pandas
- Introduction to pandas
- 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.
- DataCamp pandas foundations - Paid course, but 30 free days upon account creation (enough to complete course).
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scikit-learn
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Jupyter Notebook
- Jupyter Notebook
- Downloading and running first Jupyter notebook
- Example notebook for data exploration
- Seaborn data visualization tutorial - Plot library that works great with Jupyter.
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Various other helpful tools and resources
- Spacy - Open source toolkit for working with text-based data.
- Amazon AWS - Rent cloud servers for more timeconsuming calculations (r4.xlarge server is a good place to start).
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Data Science Challenges for Beginners
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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.
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More advanced resources and lists
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Various other helpful tools and resources
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Categories
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