Current

Beginner

Machine Learning with Python and Scikit-learn for absolute beginners

Skillshare · Skillshare Instructor · Updated March 2026

Platform rating

4.5/5

AI Tutor Rating

8.3/10

Duration

Self-paced

Classes

8

This course covers how to build Machine Learning models from scratch using Python and Scikit-learn libraries. Course structure is captured below.

What you'll get

Analyze datasets with Python, Pandas, and NumPy

Build interactive data visualizations

Apply statistical methods to derive business insights

Create end-to-end data processing pipelines

Course Curriculum

3 chapters

Fit

Best for

Software Engineers

DevOps/MLOps Engineers

Data Engineers

Platform Engineers

Not ideal for

Experts seeking deep specialization

Prerequisites & pricing

Prerequisites

Skillshare membership

Pricing

Skillshare Premium ($13.99/mo)

Certification

No

Growth Leverage: Completing this course opens up opportunities for roles such as Data Analyst, Junior Data Scientist, or Machine Learning Engineer. It serves as a solid foundation for pursuing advanced certifications like Google Cloud Professional Data Engineer or AWS Certified Machine Learning.

Skills Value: Employers pay for these skills due to the demand for professionals capable of analyzing data and creating predictive models, with salaries averaging $85,000 for Data Analysts and $110,000 for Machine Learning Engineers, reflecting a premium on data-driven decision-making capabilities.

Data Science

Python

Pandas

Data Analysis

Visualization

Statistics

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