Regression

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Using R for Regression and Machine Learning in Investment (Coursera) Coursera
Sungkyunkwan University - SKKU

Using R for Regression and Machine Learning in Investment (Coursera)

Dive into the world of data-driven investment strategies with 'Using R for Regression and Machine Learning in Investment'. Learn to apply regression techniques like logistic, Lasso, and Ridge regressions using R programming. This course is designed for aspiring and professional investors who want to leverage machine learning methodologies to enhance their investment analysis skills.

Sep 21st 2026
2 Weeks
Trees, SVM and Unsupervised Learning (Coursera) Coursera
University of Colorado Boulder

Trees, SVM and Unsupervised Learning (Coursera)

Dive into 'Trees, SVM and Unsupervised Learning' - an advanced course designed to equip you with the skills needed to construct sophisticated predictive models using support vector machines (SVM), decision trees, neural networks, and XG boost. This course is perfect for data scientists and machine learning enthusiasts looking to expand their expertise in classification techniques.

Sep 21st 2026
4 Weeks
Machine Learning for Smart Beta (Coursera) Coursera
Sungkyunkwan University - SKKU

Machine Learning for Smart Beta (Coursera)

Dive into the world of Smart Beta investing with our 4-week course designed to equip you with a deep understanding of both passive and active investment strategies. Explore the intricacies of Smart Beta products, learn their creation mechanisms, and get practical experience by recreating various Smart Beta models using R programming. This course is perfect for finance enthusiasts, investors, and data scientists looking to enhance their knowledge in alternative investment strategies.

Sep 21st 2026
4 Weeks
Customer Data Analytics for Marketers (Coursera) Coursera
University of Colorado Boulder

Customer Data Analytics for Marketers (Coursera)

Dive into Customer Data Analytics for Marketers, a course that equips you with the skills to transform raw data into actionable insights. Perfect for those in the marketing field, this program explores correlation and causality, statistical analysis, and how to apply these tools to enhance your marketing strategies effectively.

Sep 21st 2026
4 Weeks
Regression Models (Coursera) Coursera
Johns Hopkins University

Regression Models (Coursera)

Dive into Regression Models, a crucial course for aspiring data scientists on Coursera. Explore linear assumptions, learn how to relate outcomes to predictors effectively using regression analysis, and understand the principles of least squares and statistical inference. This course is perfect for those looking to deepen their understanding of essential statistical tools.

Sep 14th 2026
4 Weeks
Predictive Analytics (edX) EdX
Indian Institute of Management, Bangalore,IIMBx

Predictive Analytics (edX)

Dive into the world of Predictive Analytics with edX's expert-led course. Gain a deep understanding of statistical techniques and learn how to harness data to make informed business decisions. Perfect for professionals aiming to refine their pricing strategies, predict customer behavior, and improve product recommendations based on analytics.

Self Paced
5-12 Weeks
Machine Learning: Regression (Coursera) Coursera
University of Washington

Machine Learning: Regression (Coursera)

Dive into 'Machine Learning: Regression' on Coursera, where you'll explore the art and science of predicting continuous outcomes. This course will guide you through creating models that forecast real-world scenarios such as housing prices based on various features. Whether you're in data science, finance, healthcare, or any field dealing with predictive analytics, this course offers valuable insights into regression analysis.

Sep 14th 2026
5-12 Weeks
Machine Learning Foundations: A Case Study Approach (Coursera) Coursera
University of Washington

Machine Learning Foundations: A Case Study Approach (Coursera)

Discover how machine learning can transform your business by enrolling in 'Machine Learning Foundations: A Case Study Approach'. This hands-on course provides a thorough understanding of key machine learning concepts and techniques, equipping you with the skills to analyze data effectively and make informed decisions. Learn from real-world examples and apply what you've learned immediately.

Sep 14th 2026
5-12 Weeks