Data-Science-For-Beginners | 10 Weeks, 20 Lessons, Data Science for All!
kandi X-RAY | Data-Science-For-Beginners Summary
kandi X-RAY | Data-Science-For-Beginners Summary
Data-Science-For-Beginners is a Jupyter Notebook library. Data-Science-For-Beginners has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.
Azure Cloud Advocates at Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science. Each lesson includes pre-lesson and post-lesson quizzes, written instructions to complete the lesson, a solution, and an assignment. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'. Hearty thanks to our authors: Jasmine Greenaway, Dmitry Soshnikov, Nitya Narasimhan, Jalen McGee, Jen Looper, Maud Levy, Tiffany Souterre, Christopher Harrison. Special thanks to our Microsoft Student Ambassador authors, reviewers and content contributors, notably Aaryan Arora, Aditya Garg, Alondra Sanchez, Ankita Singh, Anupam Mishra, Arpita Das, ChhailBihari Dubey, Dibri Nsofor, Dishita Bhasin, Majd Safi, Max Blum, Miguel Correa, Mohamma Iftekher (Iftu) Ebne Jalal, Nawrin Tabassum, Raymond Wangsa Putra, Rohit Yadav, Samridhi Sharma, Sanya Sinha, Sheena Narula, Tauqeer Ahmad, Yogendrasingh Pawar.
Azure Cloud Advocates at Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science. Each lesson includes pre-lesson and post-lesson quizzes, written instructions to complete the lesson, a solution, and an assignment. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'. Hearty thanks to our authors: Jasmine Greenaway, Dmitry Soshnikov, Nitya Narasimhan, Jalen McGee, Jen Looper, Maud Levy, Tiffany Souterre, Christopher Harrison. Special thanks to our Microsoft Student Ambassador authors, reviewers and content contributors, notably Aaryan Arora, Aditya Garg, Alondra Sanchez, Ankita Singh, Anupam Mishra, Arpita Das, ChhailBihari Dubey, Dibri Nsofor, Dishita Bhasin, Majd Safi, Max Blum, Miguel Correa, Mohamma Iftekher (Iftu) Ebne Jalal, Nawrin Tabassum, Raymond Wangsa Putra, Rohit Yadav, Samridhi Sharma, Sanya Sinha, Sheena Narula, Tauqeer Ahmad, Yogendrasingh Pawar.
Support
Quality
Security
License
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Support
Data-Science-For-Beginners has a medium active ecosystem.
It has 19823 star(s) with 3916 fork(s). There are 403 watchers for this library.
It had no major release in the last 6 months.
There are 16 open issues and 88 have been closed. On average issues are closed in 61 days. There are 16 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of Data-Science-For-Beginners is current.
Quality
Data-Science-For-Beginners has no bugs reported.
Security
Data-Science-For-Beginners has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Data-Science-For-Beginners is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
Data-Science-For-Beginners releases are not available. You will need to build from source code and install.
Installation instructions are available. Examples and code snippets are not available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Data-Science-For-Beginners
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Data-Science-For-Beginners
Data-Science-For-Beginners Key Features
No Key Features are available at this moment for Data-Science-For-Beginners.
Data-Science-For-Beginners Examples and Code Snippets
No Code Snippets are available at this moment for Data-Science-For-Beginners.
Community Discussions
No Community Discussions are available at this moment for Data-Science-For-Beginners.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Data-Science-For-Beginners
Teachers: we have included some suggestions on how to use this curriculum. We'd love your feedback in our discussion forum!. Students: to use this curriculum on your own, fork the entire repo and complete the exercises on your own, starting with a pre-lecture quiz. Then read the lecture and complete the rest of the activities. Try to create the projects by comprehending the lessons rather than copying the solution code; however, that code is available in the /solutions folders in each project-oriented lesson. Another idea would be to form a study group with friends and go through the content together. For further study, we recommend Microsoft Learn.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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