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A static educational website related to Data Science built using HTML, CSS, JS, Bootstrap and Tailwind from scratch

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aniketsinha2002/DataGeek

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Project Information

The source code for the educational website Data Science is available in this repository. This website was developed for aspiring students who are interested in data science and it gives you access to resources, including courses, that can help you develop your abilities. To direct users to the desired area of the website, the website is made up of a number of different sections, including home, about, courses, FAQ, and contact. Students can sign up and begin their careers as data scientists.

This webpage is still under construction. I'm making this project open source so that if anyone wants to contribute to this project, to make it easier for their fellow learners to grasp the concepts of data science, then genuinely you are welcome here :)

Project Purpose: Educational Startup related to Data Science

Project Website : Visit Here

Developer : Aniket Sinha

What's in it for you? πŸ€”

  • Meet fellow coders, and build a team.
  • Get your questions answered and help others by answering theirs.
  • Share your creative ideas about improving this community.
  • Showcase your previous works as a motivation for others.
  • Resources to get you started and sharpen your skills.
  • And a lot of things coming from you.

High VoltageTech Stack



**Components of Website**

Landing Page

This is the initial page a user sees when the website is opened. The navigation bar on the website is divided into several areas, including about, courses, FAQ, and contact. Users can sign up on this website in order to keep track of their courses and learning progress. You have the choice to 'get started' in this area and start your data science adventure.

img1

About Us

This section provides a quick explanation of what Data Science is along with a visual illustration of the fields that make up data science. This section also includes a representation of the number of courses offered, students enrolled, and prizes awarded.

img2


Courses

The courses page offers a wide range of courses designed to equip you with the knowledge and skills needed to excel in the field of data science. Whether you're a beginner or an experienced professional, we have courses designed to meet your needs and help you stay ahead in this rapidly evolving field.

img4

FAQ

The Frequently Asked Questions is dedicated to providing answers to commonly asked questions. These questions aim at addressing the most common queries, offer insights, and provide clarity on various aspects of Data Science that a user could have.

img5

Contact

Last but not least, the website includes information about how the user can get in touch via the provided phone number or email address. Users can use a variety of social media links to keep up with the most recent Data Science related news, announcements, events, and blog articles. It includes the website's privacy statement, terms & conditions, and return policy.

img6


How to contribute?

If you're not comfortable with command line, here are tutorials using GUI tools. If you don't have git on your machine, install it.

1. Fork this repository.

fork this repository

2. Clone your forked copy of the project.

git clone https://github.com/aniketsinha2002/DataScienceWebsite.github.io.git

3. Navigate to the project directory πŸ“ .

cd DataScienceWebsite.github.io.git

4. Add a reference(remote) to the original repository.

git remote add upstream https://github.com/aniketsinha2002/DataScienceWebsite.github.io.git

5. Check the remotes for this repository.

git remote -v

6. Always take a pull from the upstream repository to your master branch to keep it at par with the main project(updated repository).

git pull upstream main

7. Create a new branch.

git checkout -b <your_branch_name>

8. Perform your desired changes to the code base.

9. Track your changes:heavy_check_mark: .

git add .

10. Commit your changes.

git commit -m "Your message"

11. Push the committed changes in your feature branch to your remote repo.

git push -u origin <your_branch_name>

12. To create a pull request, click on compare and pull requests. Please ensure you compare your feature branch to the desired branch of the repository you are supposed to make a PR to.

13. Add an appropriate title and description to your pull request explaining your changes and efforts.

14. Click on Create Pull Request.

15. Congratulations! You have made a successful PR to the DataScienceWebsite.

16. Now sit back patiently and relax while your PR is being reviewed.

Note :-

  • Please follow best code formatting and linting practices to assure good code quality. You should use tools such as Prettier or Eslint for the purpose.

Project Maintainer & Admin


github

Open Source Events

  • GSSoC'23

Thanks to all Contributors πŸ’ͺ

Thanks a lot for spending your time helping DataScienceWebsite grow. Thanks a lot! Keep rocking 🍻


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