Clustering Courses and Certifications

The Segmentation & Clustering course provides students with the knowledge to build and apply clustering models to develop sophisticated segmentation in business contexts.

• Udacity
• 3 weeks
• On-Demand
• Free Online Course

Predictive Data Analysis

Explore powerful predictive analysis tools in Power BI Desktop, covering classification, regression, and forecasting. Gain hands-on experience with various datasets to make critical organizational decisions.

• Udacity
• 4 weeks, 4-5 hours a week
• On-Demand
• Paid Course

Non-linear Dimensionality Reduction Techniques

Master non-linear dimensionality reduction techniques like t-SNE, LLE, and Kernel PCA to uncover hidden patterns in complex datasets through hands-on visualization and parameter tuning.

• CodeSignal
• On-Demand
• Free Certificate

Intro to Unsupervised Machine Learning

Master unsupervised machine learning through hands-on practice with clustering, dimensionality reduction, and advanced algorithms using the Iris dataset for practical data analysis applications.

• CodeSignal
• On-Demand
• Free Certificate

Unsupervised Learning and Clustering

Master unsupervised learning algorithms from scratch, including k-Means, PCA, and DBSCAN. Build clustering implementations, visualize results, and evaluate performance using essential metrics.

• CodeSignal
• On-Demand
• Free Certificate

Microcredential

AI Theory and Coding

Master the fundamentals of AI by implementing machine learning algorithms from scratch, covering regression, classification, optimization, ensemble methods, clustering, and neural networks with hands-on coding.

• CodeSignal
• On-Demand
• Free Certificate
• 6 courses

Exploratory Data Analysis

6068 ratings at Coursera

Mastering essential exploratory techniques for summarizing data, including R plotting systems, multivariate statistical methods, and advanced graphing tools for high-dimensional data visualization.

• Coursera
• 55 hours
• On-Demand
• Free Online Course (Audit)

Advanced Methods in Machine Learning Applications

Master advanced machine learning techniques for complex problem-solving. Explore ensemble learning, regression analysis, unsupervised learning, and reinforcement learning. Gain practical skills to implement and optimize sophisticated models.

• Coursera
• 19 hours 58 minutes
• On-Demand
• Free Online Course (Audit)

Machine Learning for Genomics Fall 2020

Fall 2020 Prof. Manolis Kellis Computational Biology: Genomes, Networks, Evolution, Health Machine Learning in Genomics: Dissecting the circuitry of Human Disease

• YouTube
• 1 day 8 hours
• On-Demand
• Free Video

Code Free Data Science

205 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
• Free Online Course (Audit)

Microcredential

Machine Learning

1 review

Gain practical experience in prediction, classification, clustering, and information retrieval through case studies. Learn to analyze complex datasets and build adaptive, intelligent systems.

• Coursera
• 30 weeks, 3 hours a week
• On-Demand
• Paid Course
• 4 courses

Machine Learning Foundations for Product Managers

472 ratings at Coursera

Build foundational understanding of machine learning, including model development, evaluation, and common algorithms. Gain hands-on experience training and optimizing a model for a real-world problem.

• Coursera
• 14 hours 57 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Analytics Modeling

5 reviews

Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.

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

Microcredential

Accounting Data Analytics

Develop an analytics mindset and master data analytics tools in accounting, from Excel to Python, covering visualization, analysis, and machine learning applications.

• Coursera
• 30 weeks, 5 hours a week
• On-Demand
• Paid Course
• 4 courses

Data Analytics Foundations for Accountancy II

10 ratings at Coursera

Explore machine learning concepts, algorithms, and practical applications in data analytics using Python. Gain skills in classification, regression, clustering, and anomaly detection for business insights.

• Coursera
• 2 days 22 hours 11 minutes
• On-Demand
• Free Online Course (Audit)