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.

Skills you'll gain: Dataflow, Data Pipelines, Debugging, Google Cloud Platform, System Monitoring, Data Integrity, CI/CD, Data Processing, Unit Testing, Performance Tuning, Disaster Recovery
Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Matplotlib, Applied Machine Learning, Data Visualization, Supervised Learning, Statistics, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
Mixed · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Model Evaluation, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming
Beginner · Specialization · 1 - 4 Weeks
Coursera
Skills you'll gain: API Testing, Test Script Development, Scenario Testing, Software Testing, Integration Testing, Test Case, Test Automation, Acceptance Testing, Test Tools, Regression Testing, Test Execution Engine, Maintainability, User Interface (UI), Security Testing, Test Data, Scalability, Debugging, Authentications, Compliance Reporting, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Tensorflow, Classification Algorithms, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dataflow, Data Pipelines, Debugging, Site Reliability Engineering, Data Integrity, CI/CD, Performance Tuning, Data Processing, Event Monitoring, Unit Testing, Metadata Management, Disaster Recovery, Integration Testing
Advanced · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
Intermediate · Course · 1 - 3 Months

Universidad de los Andes
Skills you'll gain: Unsupervised Learning, Supervised Learning, Anomaly Detection, Dimensionality Reduction, Classification Algorithms, Artificial Intelligence, Machine Learning, Probability & Statistics, Image Analysis, Data Ethics, Computer Vision, Linear Algebra, Responsible AI, Embedded Systems, Natural Language Processing, Autoencoders, Regression Analysis, Model Evaluation, Applied Machine Learning, Probability
Credit offered
Mastertrack · 6 - 12 Months

Pontificia Universidad Católica de Chile
Skills you'll gain: Predictive Analytics, Unsupervised Learning, Data Cleansing, Matplotlib, Exploratory Data Analysis, Model Evaluation, Dimensionality Reduction, Data Science, Data Analysis, Descriptive Analytics, Supervised Learning, Regression Analysis, Data Visualization, Plot (Graphics), Machine Learning Algorithms, Pandas (Python Package), Data-Driven Decision-Making, Time Series Analysis and Forecasting, Visualization (Computer Graphics), Scientific Visualization
Credit offered
Mastertrack · 6 - 12 Months

University of Leeds
Skills you'll gain: Data Ethics, Data Presentation, Regression Analysis, Web Scraping, Data Storytelling, Statistical Hypothesis Testing, Matplotlib, Bayesian Statistics, Data Analysis, Statistical Machine Learning, Model Evaluation, Exploratory Data Analysis, Classification And Regression Tree (CART), Network Analysis, Statistical Methods, Data Visualization, Applied Machine Learning, Statistical Modeling, Data Preprocessing, Linear Algebra
Earn a degree
Degree · 1 - 4 Years