Results for "regression+techniques+to+real-world+datasets"
Skills you'll gain: Seaborn, Data Storytelling, Data Visualization, Data Presentation, Data Integration, A/B Testing, Data Import/Export, Statistical Hypothesis Testing, Text Mining, Data-Driven Decision-Making, Git (Version Control System), Matplotlib, Pandas (Python Package), Version Control, GitHub, Social Media Analytics, Statistical Analysis, Exploratory Data Analysis, Jupyter, NumPy
Skills you'll gain: Root Cause Analysis, Data Ethics, Responsible AI, Retrieval-Augmented Generation, LLM Application, Operations Research, General Data Protection Regulation (GDPR), Regulatory Compliance, Strategic Decision-Making, Apache Kafka, Pareto Chart, Operational Analysis, Decision Intelligence, Stakeholder Communications, Revenue Management, Large Language Modeling, Real Time Data, Information Privacy, Statistical Inference, Reinforcement Learning
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Regression Testing, Kubernetes, Docker (Software), Feature Engineering, Containerization, Software Documentation, Data Pipelines, Git (Version Control System), Apache Airflow, Technical Documentation, Microservices, CI/CD, Unit Testing, API Design, Performance Metric, Python Programming, Version Control, Verification And Validation
Skills you'll gain: Bayesian Statistics, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Inference, Statistical Software, Sampling (Statistics), Data Modeling, Statistics, Probability & Statistics, Statistical Analysis, Statistical Methods, Statistical Modeling, Marketing Analytics, Tableau Software, Data Analysis, Spreadsheet Software, Analytics, Descriptive Analytics, Time Series Analysis and Forecasting, Regression Analysis
Skills you'll gain: Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, R Programming, Financial Forecasting, Statistical Methods, Model Training, Data Validation, Verification And Validation, Plot (Graphics), Performance Metric
Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Science, Data Analysis, Statistical Methods, Model Evaluation, Predictive Modeling, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing, Probability Distribution
What brings you to Coursera today?
Illinois Tech
Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Exploratory Data Analysis, Statistical Methods, Data Presentation, Analysis, Probability & Statistics, Data Cleansing, Applied Machine Learning, Regression Analysis, Analytics, Statistical Programming, Data Analysis, Logistic Regression, R Programming, Verification And Validation
Skills you'll gain: Performance Metric, Predictive Modeling, Data-Driven Decision-Making, Failure Analysis, Statistical Analysis, Statistical Hypothesis Testing, Sampling (Statistics)
University of Colorado Boulder
Skills you'll gain: Regression Analysis, Supervised Learning, Model Evaluation, Statistical Analysis, Model Training, Statistical Machine Learning, Data Analysis, Statistical Modeling, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Statistical Methods, Model Optimization
Coursera
Skills you'll gain: Model Evaluation, Predictive Modeling, Regression Analysis, Statistical Machine Learning, Statistical Modeling, Classification Algorithms, Predictive Analytics, Logistic Regression, Feature Engineering, Applied Machine Learning, Data-Driven Decision-Making, Data Preprocessing, Model Optimization, Performance Metric
Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Logistic Regression, Statistical Analysis, Statistical Methods, Correlation Analysis, Predictive Modeling, Supervised Learning, Predictive Analytics, Statistical Modeling, Machine Learning, Model Evaluation, Variance Analysis, Python Programming
Skills you'll gain: Data Cleansing, Data Transformation, Data Preprocessing, Data Wrangling, Data Quality, Feature Engineering, Data Validation, Pandas (Python Package), Data Integrity, Predictive Modeling, Exploratory Data Analysis, Quality Assurance, Descriptive Analytics, Technical Documentation
In summary, here are 10 of our most popular regression+techniques+to+real-world+datasets courses
- Python for Real-World Data Analysis:Â Coursera
- AI Techniques, Causal Inference & Business Optimization:Â Coursera
- Gradient to Production: MLOps & Model Serving:Â Coursera
- Statistics Foundations:Â Meta
- Predict and Validate Regression Models in R:Â Coursera
- Regression Models:Â Johns Hopkins University
- Advanced Statistical Techniques for Data Science:Â Illinois Tech
- Evaluate, Analyze, and Model Performance:Â Coursera
- Regression Analysis:Â University of Colorado Boulder
- Nail Regression & Classification:Â Coursera
