IBM
IBM Introduction to Machine Learning Specialization
IBM

IBM Introduction to Machine Learning Specialization

Learn machine learning through real use cases. Build the skills for a career in one of the most relevant fields of modern AI through hands-on projects and curriculum from IBM’s experts.

Xintong Li
Joseph Santarcangelo
Mark J Grover

Instructors: Xintong Li +4 more

19,869 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
4.7

(460 reviews)

Intermediate level
Some related experience required
2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.7

(460 reviews)

Intermediate level
Some related experience required
2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the potential applications of machine learning

  • Gain technical skills like SQL, machine learning modelling, supervised and unsupervised learning, regression, and classification.

  • Identify opportunities to leverage machine learning in your organization or career

  • Communicate findings from your machine learning projects to experts and non-experts

Skills you'll gain

  • Category: Statistical Inference
  • Category: Data Access
  • Category: Scikit Learn (Machine Learning Library)
  • Category: Classification And Regression Tree (CART)
  • Category: Machine Learning Algorithms
  • Category: Exploratory Data Analysis
  • Category: Statistical Hypothesis Testing
  • Category: Feature Engineering
  • Category: Data Cleansing
  • Category: Supervised Learning
  • Category: Applied Machine Learning
  • Category: Predictive Modeling

Details to know

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Taught in English
Recently updated!

June 2025

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from IBM

Specialization - 4 course series

What you'll learn

Skills you'll gain

Category: Data Analysis
Category: Data Manipulation
Category: Probability & Statistics
Category: Statistical Hypothesis Testing
Category: Machine Learning
Category: Artificial Intelligence
Category: Data Cleansing
Category: Data Quality
Category: Jupyter
Category: Exploratory Data Analysis
Category: Pandas (Python Package)
Category: Data Science
Category: Data Access
Category: Feature Engineering
Category: Statistical Inference
Category: Data Transformation
Category: Statistical Analysis

What you'll learn

Skills you'll gain

Category: Performance Metric
Category: Pandas (Python Package)
Category: Scikit Learn (Machine Learning Library)
Category: Predictive Modeling
Category: Supervised Learning
Category: Regression Analysis
Category: Feature Engineering
Category: Statistical Modeling
Category: Classification And Regression Tree (CART)
Category: Machine Learning Algorithms
Category: Machine Learning

What you'll learn

Skills you'll gain

Category: Scikit Learn (Machine Learning Library)
Category: Data Manipulation
Category: Supervised Learning
Category: Regression Analysis
Category: Data Processing
Category: Business Analytics
Category: Classification And Regression Tree (CART)
Category: Machine Learning
Category: Data Cleansing
Category: Performance Metric
Category: Sampling (Statistics)
Category: Predictive Modeling
Category: Feature Engineering
Category: Statistical Modeling
Category: Random Forest Algorithm
Category: Applied Machine Learning
Category: Machine Learning Algorithms

What you'll learn

Skills you'll gain

Category: Algorithms
Category: Data Analysis
Category: Scikit Learn (Machine Learning Library)
Category: Natural Language Processing
Category: Data Mining
Category: NumPy
Category: Machine Learning
Category: Unsupervised Learning
Category: Dimensionality Reduction
Category: Data Science
Category: Feature Engineering
Category: Statistical Machine Learning
Category: Text Mining
Category: Big Data
Category: Machine Learning Algorithms
Category: Linear Algebra

Earn a career certificate

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Instructors

Xintong Li
Xintong Li
IBM
2 Courses54,110 learners

Offered by

IBM

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