About this Course

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Coursera Labs
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Intermediate Level

Basic knowledge of programming (any language)

Approx. 10 hours to complete
English

What you will learn

  • Develop data strategy and process for how data will be generated, collected, and consumed

  • Load and process formatted datasets such as CSV and JSON.

  • Deal with data in various formats (e.g. timestamps, strings) and filter and “clean” datasets by removing outliers etc.

  • Basic experience with data processing libraries such as numpy and data ingestion with urllib, requests

Skills you will gain

  • Python Libraries
  • Data Pre-Processing
  • Data Visualization (DataViz)
  • Web Scraping
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level

Basic knowledge of programming (any language)

Approx. 10 hours to complete
English

Offered by

Placeholder

University of California San Diego

Syllabus - What you will learn from this course

Week1
Week 1
2 hours to complete

Week 1: Introduction to Data Products

2 hours to complete
6 videos (Total 42 min), 6 readings, 2 quizzes
Week2
Week 2
2 hours to complete

Week 2: Reading Data in Python

2 hours to complete
6 videos (Total 54 min)
Week3
Week 3
1 hour to complete

Week 3: Data Processing in Python

1 hour to complete
4 videos (Total 38 min)
Week4
Week 4
3 hours to complete

Week 4: Python Libraries and Toolkits

3 hours to complete
5 videos (Total 45 min)

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About the Python Data Products for Predictive Analytics Specialization

Python Data Products for Predictive Analytics

Frequently Asked Questions

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