Supervised Learning Courses and Certifications

Microcredential

Machine Learning for Marketing

Explore Machine Learning, Text Mining, and Decision Science to enhance marketing strategies, improve decision-making, and gain insights into consumer behavior and digital marketing analytics.

• Coursera
• On-Demand
• Paid Course
• 4 courses

Practical AI and Machine Learning with Model Builder AutoML

27 ratings at Udemy

Master machine learning by doing it in practice, using an automated machine learning GUI that requires little/no coding.

• Udemy
• 3 hours 31 minutes
• On-Demand
• Paid Course

Supervised Learning in R: Classification

26 ratings at DataCamp

In this course you will learn the basics of machine learning for classification.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Machine Learning for Business

25 ratings at DataCamp

Understand the fundamentals of Machine Learning and how it's applied in the business world.

• DataCamp
• 2 hours
• On-Demand
• Free Trial Available

CertNexus

Build Regression, Classification, and Clustering Models

16 ratings at Coursera

Learn to build regression, classification, and clustering models using various algorithms. Gain hands-on experience in model selection, evaluation, and tuning for supervised and unsupervised learning tasks.

• Coursera
• 20 hours 19 minutes
• On-Demand
• Free Online Course (Audit)

Artificial Intelligence (AI) Concepts in Python

16 ratings at DataCamp

Learn the fundamentals behind AI and Machine Learning.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Machine Learning with scikit-learn

14 ratings at DataCamp

Learn how to build and tune predictive models and evaluate how well they'll perform on unseen data.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Supervised Learning in R: Regression

13 ratings at DataCamp

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Hybrid Python3|Swift4 Applications

10 ratings at Udemy

Learn to build hybrid Python-Swift applications for data science, including cancer prediction models and a BI-RADS app, using tools like Anaconda, Jupyter, and scikit-learn.

• Udemy
• 1-2 hours
• On-Demand
• Free Online Course

Microcredential

IBM Machine Learning

Gain in-demand AI and Machine Learning skills through hands-on projects, covering supervised and unsupervised learning, deep learning, and reinforcement learning. Build a portfolio and earn an IBM Professional Certificate.

• Coursera
• 43 weeks, 3 hours a week
• On-Demand
• Paid Course
• 5 courses

CFA Institute

Machine Learning for Investment Professionals

Develop practical understanding of machine learning techniques for investment processes, covering algorithms, performance evaluation, and ethical considerations tailored for industry professionals.

• Coursera
• 6 weeks
• On-Demand
• Free Online Course (Audit)

Packt

Clustering and Classification with Machine Learning in R

Master R for data analysis: from preprocessing to advanced machine learning algorithms. Gain practical skills in clustering, classification, and dimension reduction using real-world datasets and popular R packages.

• Coursera
• 11 hours 27 minutes
• On-Demand
• Free Online Course (Audit)

AI and Machine Learning Algorithms and Techniques

Master core AI and ML algorithms through hands-on exploration of supervised, unsupervised, and reinforcement learning. Apply feature engineering, understand deep learning models, and evaluate techniques for real business solutions.

• Coursera
• 1 day 21 hours 27 minutes
• On-Demand
• Free Online Course (Audit)

H2O.ai

DataPrep for H2O Driverless AI

Master data preparation techniques for machine learning using H2O's Driverless AI, covering tabular formats, time series analysis, and automated preprocessing for both supervised and unsupervised learning scenarios.

• Coursera
• 1 hour 9 minutes
• On-Demand
• Free Online Course (Audit)

Machine Learning

Learn about machine learning, the area of artificial intelligence (AI) that is concerned with computational artifacts that modify and improve performance through experience.

• edX
• 14 weeks, 8-10 hours a week
• On-Demand
• Free Online Course (Audit)