Unsupervised Learning Courses and Certifications

AI Workflow: Feature Engineering and Bias Detection

80 ratings at Coursera

Learn feature engineering, bias detection, and unsupervised learning techniques for AI workflows. Gain skills in handling class imbalances, dimension reduction, and data visualization for effective pattern recognition and data mining.

• Coursera
• 12 hours 16 minutes
• Self-Paced
• Paid Course

What is Machine Learning?

1436 ratings at Udemy

An overview of Supervised, Unsupervised, and Reinforcement Learning with Python Demos

• Udemy
• 1 hour 57 minutes
• Self-Paced
• Free Online Course

Data Analysis Bootcamp™ 21 Real World Case Studies

1245 ratings at Udemy

Gain Business Intelligence Skills using Statistics, Data Wrangling, Data Science, Visualizations & Google Data Studio

• Udemy
• 21 hours 6 minutes
• Self-Paced
• Paid Course

Deep Learning Fundamentals with Keras

31 ratings at edX

New to deep learning? Start with this course, that will not only introduce you to the field of deep learning but give you the opportunity to build your first deep learning model using thepopular Keras library.

• edX
• 5 weeks, 2-4 hours/week
• Self-Paced
• Free Online Course (Audit)

Coursera Credential

Machine Learning with Scikit-learn, PyTorch & Hugging Face

28 ratings at Coursera

Master machine learning from foundations to generative AI using Python, scikit-learn, PyTorch & Hugging Face through hands-on projects and real-world applications.

• Coursera
• 20 weeks, 7 hours/week
• Self-Paced
• Paid Course
• 5 courses

Whizlabs

NVIDIA: Fundamentals of Machine Learning

25 ratings at Coursera

Master machine learning fundamentals, from data preprocessing to advanced GPU-accelerated techniques using NVIDIA RAPIDS. Covers supervised and unsupervised learning, model evaluation, and practical implementations.

• Coursera
• 6 hours 1 minute
• Self-Paced
• Paid Course

Credential

Artificial Intelligence in Finance and Wealth Management

25 ratings at Coursera

Explore how AI and machine learning are revolutionizing financial planning and wealth management through practical applications, innovative tools, and ethical considerations in this three-course specialization.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

IBM;  University of London

Statistics and Clustering in Python

21 ratings at Coursera

Master statistical analysis and data clustering using Python, from basic statistics to K-means algorithm implementation. Work with Pandas for data manipulation and complete hands-on clustering projects.

• Coursera
• 17 hours 51 minutes
• Self-Paced
• Paid Course

EDUCBA

SPSS: Apply & Evaluate Cluster Analysis Techniques

20 ratings at Coursera

Master cluster analysis fundamentals and SPSS implementation through hierarchical, k-means, and Two-Step methods with hands-on evaluation techniques for data segmentation.

• Coursera
• 4 hours 56 minutes
• Self-Paced
• Paid Course

Credential

Machine Learning for Marketing

19 ratings at Coursera

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
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

EDUCBA

Machine Learning with R: Build, Analyze & Predict

16 ratings at Coursera

Master machine learning foundations and R programming through hands-on practice with regression, classification, decision trees, and ensemble methods for real-world data analysis.

• Coursera
• 12 hours 31 minutes
• Self-Paced
• Paid Course

Coursera

Foundations of Machine Learning

15 ratings at Coursera

Master fundamental ML techniques including supervised/unsupervised learning, data preprocessing, and time series forecasting using Python libraries for real-world applications.

• Coursera
• 1 day 6 hours 19 minutes
• Self-Paced
• Paid Course

AI For All

15 ratings at Coursera

Discover AI fundamentals, ethics, prompt engineering, and business applications to confidently integrate artificial intelligence into real-world scenarios and industries.

• Coursera
• 18 hours 1 minute
• Self-Paced
• Paid Course

AI & Deep Learning Concepts and Applications

10 ratings at Coursera

Master AI fundamentals, machine learning techniques, and deep learning frameworks while gaining hands-on experience with TensorFlow and Python to build neural network models for real-world applications.

• Coursera
• 5 hours 38 minutes
• Self-Paced
• Paid Course

Introduction to Data Science for Complete Beginners

1021 ratings at Udemy

Most Frequent Questions about Data Science are answered in this course

• Udemy
• 1 hour 59 minutes
• Self-Paced
• Free Online Course