About this Course

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Intermediate Level
Approx. 8 hours to complete
English
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
Approx. 8 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

3 hours to complete

Week 1: Supervised Learning & Regression

3 hours to complete
5 videos (Total 46 min), 4 readings, 3 quizzes
5 videos
Supervised Learning: Regression9m
Regression in Python10m
Time-Series Regression8m
Autoregression6m
4 readings
Syllabus10m
Course Materials10m
Set Up Your System10m
Recap: Mathematical Notation10m
3 practice exercises
Review: Supervised Learning30m
Review: Regression30m
Supervised Learning & Regression10m
Week
2

Week 2

1 hour to complete

Week 2: Features

1 hour to complete
4 videos (Total 29 min), 1 reading, 3 quizzes
4 videos
Features from Temporal Data8m
Feature Transformations4m
Missing Values7m
1 reading
Supplementary Notebook for Features3m
3 practice exercises
Review: Getting Features
Review: Working with Features
Features10m
Week
3

Week 3

1 hour to complete

Week 3: Classification

1 hour to complete
4 videos (Total 31 min)
4 videos
Classification: Nearest Neighbors4m
Classification: Logistic Regression10m
Introduction to Support Vector Machines10m
3 practice exercises
Review: Classification and K-Nearest Neighbors30m
Review: Logistic Regression and Support Vector Machines5m
Classification10m
Week
4

Week 4

2 hours to complete

Week 4: Gradient Descent

2 hours to complete
5 videos (Total 36 min)
5 videos
Introduction to Training and Testing6m
Gradient Descent in Python8m
Gradient Descent in TensorFlow6m
Livecoding: Tensorflow7m
3 practice exercises
Review: Classification and Training30m
Review: Gradient Descent30m
More on Classification15m

About the Python Data Products for Predictive Analytics Specialization

Python Data Products for Predictive Analytics

Frequently Asked Questions

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