Clustering Courses and Certifications

EDUCBA Credential

Artificial Intelligence with Python: Foundations to Projects

37 ratings at Coursera

Master Python-based AI from setup to advanced projects, covering data visualization, machine learning models, NLP, and predictive analytics with portfolio-ready applications.

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

Generative AI: Elevate your Business Intelligence Career

35 ratings at Coursera

Leverage generative AI across BI lifecycle: data handling, analysis, visualization, and reporting. Learn ethical considerations and future trends through hands-on labs and real-world case studies.

• Coursera
• 10 hours 9 minutes
• Self-Paced
• Paid Course

Apache Spark for Data Engineering and Machine Learning

28 ratings at edX

Explore Apache Spark for data engineering and machine learning, covering streaming, GraphFrames, ETL, and ML algorithms. Gain hands-on skills through labs and a real-world project.

• edX
• 3 weeks, 2-3 hours/week
• Self-Paced
• Free Online Course (Audit)

Machine Learning: Concepts and Applications

25 ratings at Coursera

Comprehensive introduction to machine learning theory and practice using Python. Learn data preparation, modeling techniques, and evaluation methods with real-world datasets, focusing on practical applications and conceptual understanding.

• Coursera
• 1 day 13 hours 39 minutes
• Self-Paced
• Paid Course

Coursera

Scikit-Learn For Machine Learning Classification Problems

19 ratings at Coursera

Learn to build and train classifier models using Scikit-Learn, exploring algorithms for classification, regression, and clustering, including support vector machines, random forests, and k-means.

• Coursera
• 1 hour 48 minutes
• Self-Paced
• Paid Course

EDUCBA Credential

AI Machine Learning with R & Python Projects

18 ratings at Coursera

Master machine learning fundamentals using both R and Python through hands-on projects covering regression, classification, clustering, neural networks, and time series forecasting.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 6 courses

Credential

AI ML with Deep Learning and Supervised Models

12 ratings at Coursera

Master AI fundamentals, build neural networks, and implement advanced models like RNNs and LSTMs. Gain practical skills in supervised and unsupervised learning while exploring ethical considerations and industry applications.

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

EDUCBA

Machine Learning with Python: Build & Optimize

12 ratings at Coursera

Master Python-based machine learning by building, evaluating, and optimizing models with NumPy, Pandas, Matplotlib, and scikit-learn through hands-on projects and real-world applications.

• Coursera
• 8 hours 14 minutes
• Self-Paced
• Paid Course

EDUCBA

PySpark: Apply & Evaluate Predictive ML Models

12 ratings at Coursera

Master PySpark's MLlib to build, evaluate, and deploy scalable regression, classification, and clustering models using distributed computing for real-world data analytics.

• Coursera
• 5 hours 15 minutes
• Self-Paced
• Paid Course

Machine Learning in Healthcare: Fundamentals & Applications

10 ratings at Coursera

Explore data mining in healthcare, from theoretical foundations to practical applications. Learn to select methods, use software, and address real-world challenges in data cleaning, transformation, and modeling.

• Coursera
• 18 hours 23 minutes
• Self-Paced
• Paid Course

Advanced Tools and Techniques for Data Analysis (Live Online)

8 ratings at CourseHorse

Discover how to gain valuable insights from complex data sets and solve real-world business problems with the Advanced Tools and Techniques for Data Analysis course.

• CourseHorse
• 15 hours
• Self-Paced
• $2,845.00

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/week
• Self-Paced
• Free Online Course (Audit)

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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Paid Course