Regression Models Courses and Certifications

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
• Self-Paced
• Paid Course

Data Science Decisions in Time: Using Causal Information

Explore causal decision-making in data science, focusing on optimizing policies, pricing, and actions using causal structures and advanced analytical techniques for business, medical, and technological applications.

• Coursera
• 1 day 5 hours 23 minutes
• Self-Paced
• Paid Course

Inferential Statistics

610 ratings at Coursera

Explore inferential statistics, from hypothesis testing to advanced techniques like regression and ANOVA. Learn to analyze data, make inferences, and interpret results using various statistical tests.

• Coursera
• 14 hours 41 minutes
• Self-Paced
• Paid Course

Applying Data Analytics in Marketing

202 ratings at Coursera

Explore data-driven marketing decisions through causal, survey, textual, and network analysis techniques. Learn to leverage customer satisfaction data for improved marketing strategies.

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

Regression Analysis: Simplify Complex Data Relationships

599 ratings at Coursera

Explore predictive modeling techniques to uncover complex data relationships, from linear and logistic regression to ANOVA, enhancing your ability to extract valuable insights for data-driven decision-making.

• Coursera
• 1 day 3 hours 47 minutes
• Self-Paced
• Paid Course

Topics in Mathematics with Applications in Finance

4 ratings

The purpose of the class is to expose students to the mathematical concepts and techniques used in the financial industry. Mathematics lectures are mixed with lectures illustrating the corresponding application in the financial industry.

• MIT OpenCourseWare
• 32 hours
• Self-Paced
• Free Video

Interpretable Machine Learning

30 ratings at Coursera

Develop transparent and trustworthy AI solutions using interpretable machine learning techniques. Master regression models, decision trees, neural networks, and mechanistic interpretability for responsible AI in high-risk domains.

• Coursera
• 13 hours 33 minutes
• Self-Paced
• Paid Course

Meaningful Marketing Insights

293 ratings at Coursera

Develop data analysis skills to extract marketing insights from consumer data using Excel. Learn visualization, descriptive statistics, and regression analysis for informed decision-making.

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

The Complete Machine Learning Course with Python

8044 ratings at Udemy

Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!

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

Probability and Statistics for Business and Data Science

8003 ratings at Udemy

Learn how to apply probability and statistics to real data science and business applications!

• Udemy
• 5 hours 14 minutes
• Self-Paced
• Paid Course

Math behind Moneyball

97 ratings at Coursera

Learn how probability, math, and statistics can be used to help baseball, football and basketball teams improve, player and lineup selection as well as in game strategy.

• Coursera
• 65 hours
• Self-Paced
• Paid Course

Artificial Neural Network for Regression

6431 ratings at Udemy

Build an ANN Regression model to predict the electrical energy output of a Combined Cycle Power Plant

• Udemy
• 1 hour 12 minutes
• Self-Paced
• Free Online Course

Beginner Statistics for Data Analytics - Learn the Easy Way!

6226 ratings at Udemy

Learn the fundamentals of statistics and regression analysis in an easy, fun way! No background in stats necessary

• Udemy
• 3 hours 13 minutes
• Self-Paced
• Paid Course

R Programming for Statistics and Data Science

5851 ratings at Udemy

R Programming for Data Science & Data Analysis. Applying R for Statistics and Data Visualization with GGplot2 in R

• Udemy
• 6 hours 42 minutes
• Self-Paced
• Paid Course

Response Surfaces, Mixtures, and Model Building

67 ratings at Coursera

Explore advanced experimental design techniques for process optimization, including response surfaces, mixture experiments, and robust parameter design strategies.

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