About this Course

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Intermediate Level

Data Analysis with Python

Approx. 23 hours to complete
English

What you will learn

  • Describe the various types of Machine Learning algorithms and when to use them 

  • Compare and contrast linear classification methods including multiclass prediction, support vector machines, and logistic regression 

  • Write Python code that implements various classification techniques including K-Nearest neighbors (KNN), decision trees, and regression trees 

  • Evaluate the results from simple linear, non-linear, and multiple regression on a data set using evaluation metrics 

Skills you will gain

  • Python Libraries
  • Machine Learning
  • regression
  • Hierarchical Clustering
  • K-Means Clustering
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.
Intermediate Level

Data Analysis with Python

Approx. 23 hours to complete
English

Offered by

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IBM Skills Network

Syllabus - What you will learn from this course

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Week
1

Week 1

1 hour to complete

Introduction to Machine Learning

1 hour to complete
4 videos (Total 25 min)
Week
2

Week 2

5 hours to complete

Regression

5 hours to complete
6 videos (Total 51 min)
Week
3

Week 3

5 hours to complete

Classification

5 hours to complete
9 videos (Total 82 min)
Week
4

Week 4

4 hours to complete

Clustering

4 hours to complete
6 videos (Total 41 min)

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