This course focuses on collecting and preprocessing real-world data, moving beyond the clean datasets that learners have encountered in earlier coursework. The core narrative is about handling data as it exists "in the wild" - messy, inconsistent, and coming from various sources.

Data I/O and Preprocessing with Python and SQL


Data I/O and Preprocessing with Python and SQL
This course is part of DeepLearning.AI Data Analytics Professional Certificate

Instructor: Sean Barnes
Access provided by New York State Department of Labor
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
Details to know

Shareable certificate
Add to your LinkedIn profile
Assessments
4 assignments
Taught in English
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Build your Data Analysis expertise
This course is part of the DeepLearning.AI Data Analytics Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
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- Gain a foundational understanding of a subject or tool
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There is 1 module in this course
What's included
16 videos3 readings4 assignments1 programming assignment1 ungraded lab
Instructor

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