Data Camp: Data Scientist with Python 🤖

All code and exercises are stored in this repository.

Here is an empty template you can reuse.

🎮 List of Courses

• [Intro to Python for Data Science]
• [Intermediate Python for Data Science]
• [Python Data Science Toolbox (Part 1)]
• [Python Data Science Toolbox (Part 2)]
• [Importing Data in Python (Part 1)]
• [Importing Data in Python (Part 2)]
• [Cleaning Data in Python]
• [Pandas Foundations]
• [Manipulating DataFrames with pandas]
• [Merging DataFrames with pandas]
• [Introduction to Databases in Python]
• [Introduction to Data Visualization with Python]
• [Interactive Data Visualization with Bokeh]
• [Statistical Thinking in Python (Part 1)]
• [Statistical Thinking in Python (Part 2)]
• [Supervised Learning with scikit-learn]
• [Machine Learning with the Experts

Installation

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Note: For longer README files, I usually add a "Back to top" buttton as shown above. It makes it easy to navigate.

This is where your installation instructions go.

You can add snippets here that your readers can copy-paste with click:

gh repo clone navendu-pottekkat/awesome-readme

Usage

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Next, you have to explain how to use your project. You can create subsections under here to explain more clearly.

Development

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You have people who want to use your project and then you have people who want contribute to your project.

This is where you provide instructions for the latter.

Add instructions on how to set up a development environment, clone, and build the project.

You can use the code snippets here as well:

command to clone your project
command to build your project
command to run your project in development mode

Contribute

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You can use this section to highlight how people can contribute to your project.

You can add information on how they can open issues or how they can sponsor the project.

License

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You can also mention what license the project uses. I usually add it like this:

MIT license