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Remember, the way you present your projects on GitHub, LinkedIn, or other social media can significantly impact your professional image and open up networking and job opportunities. Ensure that all shared content respects the confidentiality and professional presentation guidelines as outlined.

For more detailed project sharing guidelines, please see below.

For specific programs:

Expand
titleData Analytics

Keep in mind that using Capstone Project is the best and our recommended choice for your personal portfolio. However, in some cases, if that's not possible and you wish to showcase non-capstone sprint projects to potential employers from your GitHub account, please consider the following rules:

  • Create a new repository on your private GitHub account, where you would share your project

  • It is prohibited to mention specific sprint names, evaluation criteria, or project instructions, everything that is connected with Turing College. This is for several reasons:

    • to avoid other finding and reusing your work during studies

    • in order to make your work more professional

Instead of listing tasks provided by Turing College for the project, you might outline your project in six steps, or simply state the project's objective in your own terms and describe your findings.

  • Ensure the project is not publicly accessible after your job search, as it could be used by others as a template for their own work. After your job search period, make your repositories private and inaccessible to others. (This applies only to non-Capstone projects.)

For the Visualization part involving BI tools, note that the process varies by tool. For example, once a project is saved to Tableau Public, it can be easily downloaded if you don’t make some specific changes, so take precautions to avoid this. There are various methods and tips for sharing your work on social media and continuing to showcase your skills, which can be found here.

P.S. If you wish to mention the Data Set you used, feel free to provide some information about it, such as its source. For example, that it's from "Kaggle" or if it is an "AdventureWorks" data set, you can specify that, by linking to the source, for instance, "AdventureWorks Data set."

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