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Ask your coordinator for a detailed description of the step content before setting a deadline.
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For each study item and each task, you should post an update to LinkedIn, Twitter, and Telegram using the following hashtags:
#cs_internship
#[courseName]
#[stepNumber]
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At the end of each week, you are supposed to give your coordinator a report including the following items:
- Links to all your posts during the last week specifying the relevant task or study item for each link, and also mention the exact date that each one of them were posted.
- How many hours did you spend on cs_internship last week?
- What percentage are you satisfied with what you did last week?
You will have a session with a technical mentor based on your report.
- The Quick Python Book: Chapter 12 (Using the filesystem).
- The Quick Python Book: Chapter 13 (Reading and Writing files).
- The Quick Python Book: Chapter 14 (Exceptions).
- Mathematics for Machine Learning: Chapter 6 (Probability and Distributions).
- Mathematics for Machine Learning: Chapter 7 (Continuous Optimization).
- Achieve Suffrage badge on StackOverflow.
- Pass all lessons on TypingClub.com with 5 stars up to lesson 202.
- Download EURUSD forex data from this link and then extract and open it with proper Python commands.
- Do the exercises in study items 1, 2 and 3 which are marked with the keywords "TRY THIS", "QUICK CHECK" and "LAB". Note that you need to use your GitHub as source control
- Exactly 7 days before your deadline, ask your coordinator to schedule a live presentation session for you on your deadline day.
- Hold your step presentation on LinkedIn. Guidelines on how to present are provided on this page.
In the mentoring training path, you should watch the "first" and "second" videos out of the 12 videos for the "Coaching" course. Here are the links:
To complete this section, please follow the instructions provided on this page.