Classification Courses and Certifications

Statistical Learning with Python

24 ratings at edX

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in Python.

• edX
• 11 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)

Machine Learning and AI Foundations: Classification Modeling

481 ratings at LinkedIn Learning

Classification methods are among the most important in modern data science. Learn classification strategies and algorithms for machining learning and AI.

• LinkedIn Learning
• 2 hours 5 minutes
• On-Demand
• Free Trial Available

Transformers: Text Classification for NLP Using BERT

456 ratings at LinkedIn Learning

Learn about transformers, the go-to architecture for NLP and computer vision tasks.

• LinkedIn Learning
• 55 minutes
• On-Demand
• Free Trial Available

TensorFlow 2.0 Practical

958 ratings at Udemy

Master Tensorflow 2.0, Google’s most powerful Machine Learning Library, with 10 practical projects

• Udemy
• 11 hours 45 minutes
• On-Demand
• Paid Course

Microcredential

AI and Machine Learning Essentials with Python

44 ratings at Coursera

Gain essential skills in AI, machine learning, and Python programming. Learn statistics, solve real-world problems, and prepare for advanced study in these cutting-edge fields.

• Coursera
• 16 weeks, 8 hours a week
• On-Demand
• Paid Course
• 3 courses

Privacy by Design: Data Classification

411 ratings at LinkedIn Learning

Learn how to set up a mature and dynamic data governance by building a data classification process and implementing data inventory automation.

• LinkedIn Learning
• 1 hour 19 minutes
• On-Demand
• Free Trial Available

Machine Learning Essentials

Explore statistical learning techniques for machine learning, including linear regression and classification. Apply concepts through Python coding assignments and practical problem-solving.

• Coursera
• 17 hours 59 minutes
• On-Demand
• Paid Course

Introduction to Machine Learning in Sports Analytics

27 ratings at Coursera

Explore supervised machine learning techniques using Python and real athletic data to predict sports outcomes, applying methods like SVM, decision trees, and ensembles to analyze professional leagues and wearable device data.

• Coursera
• 12 hours 55 minutes
• On-Demand
• Paid Course

Code Free Data Science

216 ratings at Coursera

Gain essential data science skills using KNIME Analytics Platform. Learn predictive modeling, data manipulation, and machine learning without coding. Apply algorithms to real data and interpret results.

• Coursera
• 14 hours 17 minutes
• On-Demand
• Paid Course

Data Science & Machine Learning: Naive Bayes in Python

728 ratings at Udemy

Master a crucial artificial intelligence algorithm and skyrocket your Python programming skills

• Udemy
• 7 hours 30 minutes
• On-Demand
• Paid Course

Machine Learning & Data Science: The Complete Visual Guide

623 ratings at Udemy

Learn data science & machine learning topics with simple, step-by-step demos and user-friendly Excel models (NO code!)

• Udemy
• 8 hours 52 minutes
• On-Demand
• Paid Course

Meaningful Predictive Modeling

49 ratings at Coursera

Evaluate and compare predictive models using diagnostic techniques and performance measures. Learn to implement training/validation/test pipelines for robust model generalization.

• Coursera
• 8 hours 33 minutes
• On-Demand
• Paid Course

Privacy by Design: Data Classification

110 ratings at LinkedIn Learning

Explore the current privacy landscape. Learn how to collect and manage data in line with privacy best practices, and discover how to properly classify and inventory data.

• LinkedIn Learning
• 1-2 hours
• On-Demand
• Free Trial Available

Machine Learning No-Code Approach: Using Azure ML Studio

583 ratings at Udemy

A hands-on approach to Machine Learning using the easy drag-n-drop environment of Azure Machine Learning Studio

• Udemy
• 2 hours 41 minutes
• On-Demand
• Paid Course

Learn to build and evaluate neural network classification models using PyTorch, covering data preparation, binary and multiclass designs, and performance metrics for real-world applications.

• Codecademy
• 3 hours
• On-Demand
• Free Trial Available