Logistic Regression

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Data Analytics Foundations for Accountancy II (Coursera) Coursera
University of Illinois at Urbana-Champaign

Data Analytics Foundations for Accountancy II (Coursera)

Embark on a journey to transform how you approach accounting with 'Data Analytics Foundations for Accountancy II'. This course is designed for aspiring and professional accountants who want to harness the power of data analytics to drive better decision-making in their financial practices. Learn from industry experts, apply real-world scenarios, and gain the skills needed to stand out in today's data-driven business environment.

Sep 21st 2026
5-12 Weeks
Introduction to Machine Learning in Sports Analytics (Coursera) Coursera
University of Michigan

Introduction to Machine Learning in Sports Analytics (Coursera)

Dive deep into the world of sports analytics with our Introduction to Machine Learning in Sports Analytics course. Gain expertise in applying machine learning techniques using Python's scikit-learn toolkit on real-world athletic datasets. Explore various algorithms and learn how to predict outcomes in professional sports, enhancing your understanding and skills in data analysis.

Sep 21st 2026
4 Weeks
Introduction to Machine Learning: Supervised Learning (Coursera) Coursera
University of Colorado Boulder

Introduction to Machine Learning: Supervised Learning (Coursera)

Embark on a journey into the world of supervised machine learning with this foundational online course. Designed for beginners and advanced learners alike, you'll delve into essential algorithms like linear and logistic regression, K-nearest neighbors (KNN), decision trees, random forest, boosting techniques, and kernel methods such as support vector machines (SVM). This course is perfect for those looking to harness the predictive power of data.

Sep 21st 2026
5-12 Weeks
Regression Analysis: Simplify Complex Data Relationships (Coursera) Coursera
Google

Regression Analysis: Simplify Complex Data Relationships (Coursera)

Discover how to simplify complex data relationships with our comprehensive Regression Analysis course. Designed for aspiring data professionals, this course will guide you through the essential methods of data modeling, including linear regression, analysis of variance (ANOVA), and logistic regression. By mastering these techniques, you'll be equipped to approach business problems with a structured analytical framework.

Sep 21st 2026
5-12 Weeks
Logistic Regression and Prediction for Health Data (Coursera) Coursera
University of Michigan

Logistic Regression and Prediction for Health Data (Coursera)

Dive into the world of health data analysis with our 'Logistic Regression and Prediction for Health Data' course. This course is designed to equip you with essential skills in analyzing binary outcomes, performing two-group comparisons, and applying statistical inference and prediction through logistic regression. Learn how to effectively use R to compare proportions, fit logistic regressions, make accurate predictions, and evaluate the quality of these predictions. Whether you're a healthcare professional or data enthusiast, this course will enhance your understanding and capabilities in health data analysis.

Sep 21st 2026
3 Weeks
Machine Learning Essentials (Coursera) Coursera
University of Pennsylvania

Machine Learning Essentials (Coursera)

Dive into the world of Machine Learning with our beginner-friendly course. Gain a solid foundation in key ML techniques such as linear regression and classification. Master these skills by completing hands-on coding exercises in Python. Perfect for those new to machine learning who want to solve real-world problems using statistical learning methods.

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