About this Course

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Learner Career Outcomes

38%

started a new career after completing these courses

43%

got a tangible career benefit from this course

18%

got a pay increase or promotion

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

Data Analysis with Python

Approx. 18 hours to complete

Suggested: 5-6 weeks of study, 3-6 hours per week...

English

Subtitles: English

Learner Career Outcomes

38%

started a new career after completing these courses

43%

got a tangible career benefit from this course

18%

got a pay increase or promotion

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

Data Analysis with Python

Approx. 18 hours to complete

Suggested: 5-6 weeks of study, 3-6 hours per week...

English

Subtitles: English

Syllabus - What you will learn from this course

Content RatingThumbs Up94%(7,925 ratings)Info
Week
1

Week 1

1 hour to complete

Introduction to Machine Learning

1 hour to complete
4 videos (Total 24 min)
4 videos
Introduction to Machine Learning8m
Python for Machine Learning6m
Supervised vs Unsupervised5m
1 practice exercise
Intro to Machine Learning10m
Week
2

Week 2

5 hours to complete

Regression

5 hours to complete
6 videos (Total 50 min), 1 reading, 5 quizzes
6 videos
Simple Linear Regression12m
Model Evaluation in Regression Models8m
Evaluation Metrics in Regression Models3m
Multiple Linear Regression13m
Non-Linear Regression7m
1 reading
[Optional] Download Jupyter Notebook10m
1 practice exercise
Regression10m
Week
3

Week 3

5 hours to complete

Classification

5 hours to complete
9 videos (Total 81 min)
9 videos
K-Nearest Neighbours9m
Evaluation Metrics in Classification7m
Introduction to Decision Trees4m
Building Decision Trees10m
Intro to Logistic Regression7m
Logistic regression vs Linear regression15m
Logistic Regression Training13m
Support Vector Machine8m
1 practice exercise
Classification10m
Week
4

Week 4

4 hours to complete

Clustering

4 hours to complete
6 videos (Total 41 min)
6 videos
Intro to k-Means9m
More on k-Means3m
Intro to Hierarchical Clustering6m
More on Hierarchical Clustering5m
DBSCAN6m
1 practice exercise
Clustering10m
4.7
940 ReviewsChevron Right

Top reviews from Machine Learning with Python

By RCFeb 7th 2019

The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.

By SKAug 4th 2019

The instructor was awesome. His voice was crisp and to the point. The course is actually well laid out with proper structure. Altogether a great learning experience. Cheers... Keep up the good work.

Offered by

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IBM

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.