If the purpose of this course was to take a video of random code files and share with zero practical explanation this course is 5 out of 5. However, there is zero connection from the short video to the code challenges. No connection to any of the methods or options used, nada. I recommend just downloading the course files, skip these terrible videos, and go straight to the Python doc's or ask ChatGPT for some explanations and why the code was structured the way it was.
Data Ingestion with Python
With Miki Tebeka
Liked by 1,656 users
Duration: 1h 24m
Skill level: Intermediate
Released: 12/12/2019
Course details
A sizable portion of a data scientist's day is often spent fetching and cleaning the data they need to train their algorithms. In this course, learn how to use Python tools and techniques to get the relevant, high-quality data you need. Instructor Miki Tebeka covers reading files, including how to work with CSV, XML, and JSON files. He also discusses calling APIs, web scraping (and why it should be a last resort), and validating and cleaning data. Plus, discover how to establish and monitor key performance indicators (KPIs) that help you monitor your data pipeline.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
LinkedIn Learning
Certificate of Completion
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Brian M.
Brian M.
Liquidity Risk, Data Analytics, and Coding
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Kent Seow
Kent Seow
Production & Procurement Manager | Studying Data Engineering
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Moureen Lukoye
Moureen Lukoye
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Contents
What’s included
- Practice while you learn 2 exercise files
- Test your knowledge 8 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units