Logistic Regression

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Logistic Regression in R for Public Health (Coursera) Coursera
Imperial College London

Logistic Regression in R for Public Health (Coursera)

Dive into 'Logistic Regression in R for Public Health' - a practical course designed for healthcare professionals aiming to harness the power of statistical modeling within their field. This hands-on experience will equip you with essential skills in logistic regression analysis, focusing on real-life public health data sets and using R as your tool. You'll learn how to predict health outcomes accurately, considering the unique complexities of public health data.

Jul 27th 2026
4 Weeks
Natural Language Processing with Classification and Vector Spaces (Coursera) Coursera
DeepLearning.AI

Natural Language Processing with Classification and Vector Spaces (Coursera)

Embark on a journey into the fascinating world of Natural Language Processing with this introductory course from Coursera's Natural Language Processing Specialization by deeplearning.ai. Gain expertise in performing sentiment analysis, understanding vector space models, reducing dimensionality with PCA, and creating basic translation algorithms using pre-computed word embeddings.

Jul 27th 2026
4 Weeks
Multiple Regression Analysis in Public Health (Coursera) Coursera
Johns Hopkins University

Multiple Regression Analysis in Public Health (Coursera)

Dive into Biostatistics with this advanced course that teaches you the application of statistical reasoning in life sciences, specifically focusing on Multiple Regression Analysis. This course is tailored for those working in Public Health who want to improve their data analysis skills and make informed decisions based on multiple variables impacting public health outcomes.

Jul 27th 2026
4 Weeks
Simple Regression Analysis in Public Health (Coursera) Coursera
Johns Hopkins University

Simple Regression Analysis in Public Health (Coursera)

Discover the essential skills of biostatistics with our comprehensive course on Simple Regression Analysis in Public Health. This course will guide you through understanding and applying regression methods to analyze relationships between a single predictor and an outcome of interest within public health research. Perfect for students, researchers, and professionals looking to enhance their data analysis capabilities.

Jul 27th 2026
4 Weeks
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.

Jul 27th 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.

Jul 27th 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.

Jul 27th 2026
5-12 Weeks