About this Course

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Intermediate Level

B​asic knowledge of programming (any language)

Approx. 10 hours to complete
English

Skills you will gain

Python LibrariesData Pre-ProcessingData Visualization (DataViz)Web Scraping
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level

B​asic knowledge of programming (any language)

Approx. 10 hours to complete
English

Offered by

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University of California San Diego

Syllabus - What you will learn from this course

Week
1

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
6 videos
Data Product Examples in Enterprise5m
Developing a Data Product Strategy7m
Python and Jupyter Basics6m
Python Recap5m
Livecoding: Getting Started With Jupyter10m
6 readings
Syllabus10m
Course Materials10m
Set Up Your System10m
Our Case Study: Recommender Systems10m
(Optional) Python: How to Run10m
(Optional) Python: Additional Resources and Recommended Readings10m
2 practice exercises
Review: Data Products4m
Review: Python and Jupyter5m
Week
2

Week 2

2 hours to complete

Week 2: Reading Data in Python

2 hours to complete
6 videos (Total 54 min)
6 videos
Reading CSV & JSON Files9m
Processing Structured Data in Python8m
Live-Coding: JSON5m
Extracting Simple Statistics From Datasets11m
Simple Statistics: Live-Coding8m
3 practice exercises
Review: CSV and JSON Files8m
Review: Simple Statistics10m
Python: Reading Data and Simple Statistics45m
Week
3

Week 3

1 hour to complete

Week 3: Data Processing in Python

1 hour to complete
4 videos (Total 38 min)
4 videos
Processing Text and Strings in Python7m
Processing Times and Dates in Python11m
Livecoding: Time and Date Data8m
3 practice exercises
Review: Data Filtering and Cleaning5m
Review: Processing Different Data Types5m
Data Processing in Python30m
Week
4

Week 4

3 hours to complete

Week 4: Python Libraries and Toolkits

3 hours to complete
5 videos (Total 45 min)
5 videos
Introduction to Data Visualization11m
Introduction to Matplotlib5m
Live-coding: MatPlotLib9m
urllib and BeautifulSoup12m
4 practice exercises
Review: NumPy30m
Review: MatPlotLib30m
Review: urllib and BeautifulSoup6m
Python Libraries and Toolkits15m

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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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