/Data-Science-Mastery-Handbook

The "Data Science Mastery Handbook" is your concise guide to mastering the intricacies of data science.

Primary LanguageJupyter NotebookMIT LicenseMIT

Data Science Mastery Handbook: Your Pathway to Expertise

The "Data Science Mastery Handbook: Your Pathway to Expertise" is a vital companion for those aspiring to excel in data science. This concise yet comprehensive guide navigates readers through the intricacies of the field, offering a structured pathway from foundational concepts to advanced techniques. Packed with interactive Jupyter Notebooks, practical examples, and real-world applications, the handbook ensures an engaging learning experience. Beyond technical skills, it emphasizes effective communication, storytelling with data, and ethical considerations. Whether you're a beginner building a strong foundation or a seasoned practitioner aiming for mastery, this handbook provides the roadmap to expertise in data science.

Usage

Building the book

If you'd like to develop and/or build the Data Science Mastery Handbook: Your Pathway to Expertise book, you should:

  1. Clone this repository
  2. Run pip install -r requirements.txt (it is recommended you do this within a virtual environment)
  3. (Optional) Edit the books source files located in the data_science_mastery_handbook:_your_pathway_to_expertise/ directory
  4. Run jupyter-book clean data_science_mastery_handbook:_your_pathway_to_expertise/ to remove any existing builds
  5. Run jupyter-book build data_science_mastery_handbook:_your_pathway_to_expertise/

A fully-rendered HTML version of the book will be built in data_science_mastery_handbook:_your_pathway_to_expertise/_build/html/.

Hosting the book

Please see the Jupyter Book documentation to discover options for deploying a book online using services such as GitHub, GitLab, or Netlify.

For GitHub and GitLab deployment specifically, the cookiecutter-jupyter-book includes templates for, and information about, optional continuous integration (CI) workflow files to help easily and automatically deploy books online with GitHub or GitLab. For example, if you chose github for the include_ci cookiecutter option, your book template was created with a GitHub actions workflow file that, once pushed to GitHub, automatically renders and pushes your book to the gh-pages branch of your repo and hosts it on GitHub Pages when a push or pull request is made to the main branch.

Contributors

We welcome and recognize all contributions. You can see a list of current contributors in the contributors tab.

Credits

This project is created using the excellent open source Jupyter Book project and the executablebooks/cookiecutter-jupyter-book template.