Clustering Courses and Certifications

Basics of Data Science

Comprehensive introduction to data science fundamentals, covering analysis techniques, tools, and ethical considerations. Includes hands-on Python exercises for practical application of concepts.

• edX
• 9 weeks, 5-11 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

Machine Learning Algorithms

Explore key machine learning algorithms: Naïve Bayes, Support Vector Machine, Decision Tree, and Clustering. Gain practical understanding and implementation skills in Python.

• Coursera
• 15 hours 56 minutes
• On-Demand
• Paid Course

Data Preparation and Analysis

Comprehensive data analysis course covering preparation, visualization, statistical techniques, and machine learning models. Emphasizes practical skills in Python for extracting insights and building professional-grade solutions.

• Coursera
• 3 days 7 hours 41 minutes
• On-Demand
• Paid Course

Foundations for Data Analytics Part 1

Discover Python fundamentals, data structures, and analytics techniques including clustering, time series analysis, and data wrangling for real-world applications.

• Coursera
• 16 hours 58 minutes
• On-Demand
• Paid Course

Statistical Learning for Engineering Part 1

Explore supervised and unsupervised machine learning algorithms, from linear regression to SVMs, with hands-on Python implementation for real-world engineering applications.

• Coursera
• 1 day 11 hours 38 minutes
• On-Demand
• Paid Course

Practical Engineering Data Mining: Techniques and Uses

Master data mining fundamentals and techniques through hands-on engineering applications, from preprocessing to clustering, while implementing real-world case studies across manufacturing, healthcare, and business sectors.

• Coursera
• 11 hours 7 minutes
• On-Demand
• Paid Course

Machine Learning and Data Analytics Part 2

Explore advanced data mining techniques including clustering, neural networks, SVMs, and text mining with real-world applications across engineering sectors.

• Coursera
• 18 hours 7 minutes
• On-Demand
• Paid Course

Statistical Learning for Engineering Part 2

Explore advanced machine learning algorithms including neural networks, clustering, dimensionality reduction, and reinforcement learning with hands-on Python implementation.

• Coursera
• 1 day 46 minutes
• On-Demand
• Paid Course

Unsupervised Learning and Its Applications in Marketing

Explore unsupervised learning techniques in Python for marketing insights. Uncover customer segments, reduce data dimensions, detect anomalies, and build recommender systems to drive data-driven marketing strategies.

• Coursera
• 21 hours 43 minutes
• On-Demand
• Paid Course

Predictive Analytics

Discover how to transform enterprise data into actionable business intelligence using decision trees, neural networks, market basket analysis, and discriminant analysis tools.

• Coursera
• 2 days 7 hours 46 minutes
• On-Demand
• Paid Course

Predictive Analytics and Forecasting

Master predictive analytics tools including regression, classification, clustering, and forecasting to make data-driven business decisions and uncover customer behavior patterns.

• Coursera
• 2 days 15 hours 37 minutes
• On-Demand
• Paid Course

Coursera Microcredential

Data Pipeline Engineering & Analytics

Master automated ETL processes, SQL optimization, dimensional modeling, and interactive dashboards while analyzing user behavior to build robust data infrastructure that drives business impact.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 6 courses

Board Infinity Microcredential

Java in Machine Learning

Master machine learning with Java using Weka, Smile, and Deeplearning4j. Build scalable ML applications from data preprocessing to deployment in enterprise environments.

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

Edureka

Machine Learning with PySpark

Master distributed machine learning using PySpark MLlib to build scalable models, process large datasets, and implement advanced algorithms for classification, regression, and clustering in a big data environment.

• Coursera
• 13 hours 27 minutes
• On-Demand
• Paid Course