Logistic regression courses can help you learn statistical modeling, hypothesis testing, and the interpretation of coefficients. You can build skills in evaluating model performance, understanding odds ratios, and applying techniques like regularization to improve accuracy. Many courses introduce tools such as R, Python, and specialized libraries like scikit-learn, showing how these skills are used to analyze binary outcomes in various fields, including healthcare, finance, and marketing.

University of Maryland, College Park
Skills you'll gain: Sampling (Statistics), Data Quality, Stata, Data Manipulation, Statistical Analysis, Statistical Software, Statistical Methods, Data Analysis, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling, Statistical Inference
Mixed · Course · 1 - 3 Months

Skills you'll gain: Time Series Analysis and Forecasting, Financial Forecasting, Statistical Analysis, Machine Learning, Trend Analysis, Financial Data, Financial Modeling, Jupyter, Predictive Modeling, Regression Analysis, Finance, GitHub, Statistical Modeling
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Selenium (Software), Test Automation, Test Tools, Test Data, Test Case, Unit Testing, Software Testing, Test Execution Engine, Regression Testing, Integration Testing, Java, Performance Testing, Automation
Intermediate · Course · 3 - 6 Months

Illinois Tech
Skills you'll gain: Machine Learning Algorithms, Predictive Analytics, Data Cleansing, Unsupervised Learning, Data Analysis, Statistical Machine Learning, Data Mining, Supervised Learning, Machine Learning, Artificial Neural Networks
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision, Network Architecture, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, NumPy, Matplotlib, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Machine Learning, Supervised Learning, Data Manipulation, Regression Analysis
Beginner · Course · 3 - 6 Months

Skills you'll gain: Amazon Elastic Compute Cloud, Continuous Deployment, Continuous Integration, Debugging
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Processing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Data Manipulation, Machine Learning, Predictive Modeling, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

Pearson
Skills you'll gain: Software Testing, Test Automation, Test Planning, Acceptance Testing, Test Case, Functional Testing, Scenario Testing, Unit Testing, Integration Testing, Regression Testing, User Acceptance Testing (UAT), Performance Testing, Usability Testing
Intermediate · Course · 1 - 4 Weeks

Universidades Anáhuac
Skills you'll gain: Data-Driven Decision-Making, Artificial Intelligence, Customer Analysis, AI Product Strategy, Business Intelligence, Classification And Regression Tree (CART), Image Analysis, Machine Learning, Decision Tree Learning, Virtual Environment, Applied Machine Learning, Big Data, Natural Language Processing
Beginner · Course · 1 - 3 Months

Universidades Anáhuac
Skills you'll gain: Predictive Modeling, Time Series Analysis and Forecasting, Predictive Analytics, Statistical Modeling, Data Modeling, Forecasting, Supervised Learning, Machine Learning Software, Regression Analysis, Feature Engineering, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Unsupervised Learning, Statistical Analysis, Machine Learning, Jupyter
Intermediate · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Java, Java Programming, Apache Spark, Applied Machine Learning, Deep Learning, Data Processing, Application Deployment, Natural Language Processing, Data Cleansing, Machine Learning Algorithms, Machine Learning, Feature Engineering, Data Transformation, Scalability, Artificial Neural Networks, Regression Analysis, Interoperability
Intermediate · Course · 1 - 4 Weeks