Reflective Prompts¶
These prompts are more reflective to help demonstrate your understanding of skills. These are more writing than new coding.
Correcting a Prior Assignment¶
Python |
Process |
Access |
Summarize |
Visualize |
Prepare |
Construct |
Classification |
Clustering |
Regression |
Evaluation |
---|---|---|---|---|---|---|---|---|---|---|
Yes |
No |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Choose an assignment that you did not achieve the target level for. Write a blog style notebook analysis that corrects what you could have done better, what you learned, and addresses the misconception if applicable.
Data Science Pipeline¶
Like the day 1 activity, find two different sources that describe the data science pipeline or lifecycle. Write a blog style post that discusses their differences and hypothesizes about why they may be different? Are they for different audiences? Is one domain specific. How do they emphasize different modeling tasks?
Podcast¶
Python |
Process |
Access |
Summarize |
Visualize |
Prepare |
Construct |
Classification |
Clustering |
Regression |
Evaluation |
---|---|---|---|---|---|---|---|---|---|---|
No |
Yes |
No |
No |
No |
No |
No |
No |
No |
No |
No |
Watch an episode of a high quality1 podcast and write a blog style summary and review of the episode. Highlight what you learned and how it relates to topics covered in class.
Approved Podcasts:
What Can Data Science do?¶
Python |
Process |
Access |
Summarize |
Visualize |
Prepare |
Construct |
Classification |
Clustering |
Regression |
Evaluation |
---|---|---|---|---|---|---|---|---|---|---|
No |
Yes |
No |
No |
No |
No |
No |
No |
No |
No |
No |
Write a blog post describing different ways
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