University of Washington
Skills you'll gain: Unsupervised Learning, Supervised Learning, Data Science, Machine Learning Methods, Predictive Analytics, Applied Machine Learning, Analytics, Data Analysis, R Programming, Model Optimization, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning, Statistics, Graph Theory, Classification Algorithms, Network Analysis, Big Data
★ 4.1 (323) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Scientific Visualization, Jupyter, Matplotlib, Statistical Visualization, Data Manipulation, R (Software), Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Statistical Methods, Data Analysis, R Programming, Python Programming
★ 3.9 (25) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Import/Export, Pandas (Python Package), Pivot Tables And Charts, Jupyter, Microsoft Excel, Data Analysis, Data Manipulation, Data Wrangling, Data Access, Programming Principles, Python Programming, Data Structures, Development Environment, Scripting, Package and Software Management, Software Installation, Object Oriented Programming (OOP)
★ 4.7 (30) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Classification Algorithms, Reinforcement Learning, Machine Learning Methods, Model Training, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Supervised Learning, Unsupervised Learning, Data Preprocessing, Data Mining, Predictive Modeling, Random Forest Algorithm, Logistic Regression, Model Optimization, Data Manipulation
Intermediate · Course · 3 - 6 Months