Statistical modeling courses can help you learn regression analysis, hypothesis testing, and data visualization techniques. You can build skills in interpreting statistical results, validating models, and making predictions based on data. Many courses introduce tools like R, Python, and Excel, that support implementing statistical methods and analyzing datasets effectively.

Johns Hopkins University
Skills you'll gain: Data Quality, Data Presentation, Data Management, Technical Communication, Data Analysis, Statistical Methods, Analytical Skills, Data-Driven Decision-Making, Data Science, Statistical Machine Learning, Statistical Inference, Statistics, A/B Testing, Statistical Modeling
★ 4.5 (2.4K) · Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Statistical Reporting, Data Management, Data Literacy, Analysis, Workflow Management, Analytical Skills, Statistical Inference, Team Management, Statistical Modeling, Data Synthesis, Data Presentation, Descriptive Analytics, Team Leadership, Statistical Methods, Communication
★ 4.6 (105) · Mixed · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Pandas (Python Package), Data Visualization, Time Series Analysis and Forecasting, Matplotlib, Plot (Graphics), Statistical Visualization, Statistical Inference, Statistical Analysis, Seaborn, Analytics, Exploratory Data Analysis, Descriptive Statistics, Statistical Modeling, Data Manipulation, Programming Principles, Python Programming, Regression Analysis
★ 4.6 (26) · Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra, Numerical Analysis
★ 4.5 (193) · Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Social Network Analysis, Network Analysis, Graph Theory, R (Software), Social Sciences, Statistical Analysis, R Programming, Statistical Software, Sociology, Network Model, Statistical Modeling, Statistical Hypothesis Testing, Statistical Methods, Dependency Analysis
★ 4.3 (13) · Intermediate · Course · 1 - 4 Weeks

EDUCBA
Skills you'll gain: Internet Of Things, Advanced Analytics, Big Data, Data Management, Wireless Networks, Predictive Analytics, Applied Machine Learning, Analytics, Water Sustainability, Data-Driven Decision-Making, Sustainable Systems, Environmental Monitoring, Geospatial Information and Technology, Telecommunications, Sustainable Technologies, Machine Controls, Real Time Data, Automation, Data Analysis, Data Collection
★ 4.6 (342) · Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Algebra, Calculus, Applied Mathematics, Graphing, General Mathematics, Data Science, Numerical Analysis, Mathematical Theory & Analysis, Derivatives
★ 4.6 (269) · Intermediate · Course · 1 - 3 Months

University of California, Irvine
Skills you'll gain: Social Media Analytics, Analytical Skills, Data Ethics, Predictive Modeling, Model Evaluation, Unsupervised Learning, Natural Language Processing, Predictive Analytics, Regression Analysis, Data Mining, Data Science, Social Media, Text Mining, Anomaly Detection, Business Analytics, Decision Tree Learning, Big Data, Analytics, Supervised Learning, Cloud Computing
★ 4.3 (265) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Stata, STATA (Software), Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Statistical Programming, Statistical Software, Statistical Visualization, Data Manipulation, Logistic Regression, Simulations, Predictive Modeling, Data Transformation, Graphing, Model Evaluation
★ 4.5 (6) · Beginner · Course · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Data Science, Applied Mathematics, Linear Algebra, Probability & Statistics, Derivatives
★ 4.6 (111) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Model Training, Ggplot2, Plot (Graphics), Data Manipulation, Convolutional Neural Networks, Applied Machine Learning, Machine Learning Algorithms
★ 4.8 (8) · Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Combinatorics, Statistical Programming, Data Analysis, Probability, Statistics, Probability Distribution, Applied Machine Learning, Probability & Statistics, Bayesian Statistics, Data Science, Simulations
Intermediate · Course · 1 - 3 Months