Tools and first-week setup

The tools a Data Science intern uses and how to set up your workspace in week one.

These are the main tools for Data Science tasks. You do not need all of them on day one; the Level 1 tasks tell you when to install each one.

Set up your workspace

Create a free GitHub account if you do not have one, with a professional username, and set up your LinkedIn profile: every task is submitted with a LinkedIn post.
Create one repository for the internship, for example data-science-internship, with a README that says who you are and what the repo holds.
Keep one folder per task, named with the task number and title, so mentors find your work quickly.
Commit small changes every day with clear messages. Your daily work report uses these commits as proof.
Never commit passwords, API keys or personal data. Put secrets in a .env file and add it to .gitignore.

Task	What to do
Install Python and configure environment	Open the task in your dashboard for the full steps.
Install Power BI Desktop	Open the task in your dashboard for the full steps.
Set up VS Code or PyCharm	Open the task in your dashboard for the full steps.
Import Excel datasets	Open the task in your dashboard for the full steps.