Statistical inference courses can help you learn hypothesis testing, confidence intervals, regression analysis, and data interpretation. You can build skills in analyzing sample data, making predictions, and drawing conclusions about larger populations. Many courses introduce tools like R and Python for statistical programming, as well as software for data visualization, which enhance your ability to apply statistical methods effectively.

Johns Hopkins University
Skills you'll gain: Shiny (R Package), Dashboard, Ggplot2, Interactive Data Visualization, Data Visualization Software, Data Presentation, Application Development, Data Sharing, UI Components, Application Deployment
Mixed Ā· Course Ā· 1 - 4 Weeks

Universidad Austral
Skills you'll gain: Financial Modeling, Time Series Analysis and Forecasting, Regression Analysis, Financial Forecasting, Predictive Modeling, Forecasting, Finance, R Programming, Financial Analysis, Statistical Analysis, Statistics, Probability & Statistics, Risk Analysis, Microsoft Excel
Beginner Ā· Course Ā· 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, Data Cleansing, R Programming, Data Preprocessing, Statistical Programming, Text Mining
Mixed Ā· Course Ā· 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Data Import/Export, Web Scraping, Tidyverse (R Package), Data Integration, Data Manipulation, Data Transformation, Relational Databases, Google Sheets, Unstructured Data, R Programming, Extensible Markup Language (XML), Spreadsheet Software, Databases, SQL, Application Programming Interface (API)
Beginner Ā· Course Ā· 1 - 3 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Education Software and Technology, Wealth Management, Supervised Learning, Machine Learning, Financial Services, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Learning Management Systems, Digital pedagogy, Artificial Intelligence, AI Enablement, FinTech, Data Mining, AI Personalization, Learning Theory, Regulatory Compliance, Financial Planning, Relationship Building, Risk Modeling, Legal Risk
Intermediate Ā· Specialization Ā· 1 - 3 Months

Imperial College London
Skills you'll gain: Mathematical Modeling, Statistical Modeling, Simulations, Risk Modeling, Epidemiology, Infectious Diseases, R Programming, Model Evaluation, Public Health
Intermediate Ā· Course Ā· 1 - 4 Weeks
CertNexus
Skills you'll gain: Data Preprocessing, Data Analysis, Data Collection, AI Workflows, Statistical Analysis, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Model Evaluation, Descriptive Statistics, Feature Engineering, Machine Learning Algorithms, Process Management
Intermediate Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming
Intermediate Ā· Course Ā· 1 - 3 Months

Amazon Web Services
Skills you'll gain: Generative AI, Business Metrics, Machine Learning Methods, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Machine Learning, Machine Learning Algorithms, Model Evaluation, Artificial Intelligence, Model Deployment, Key Performance Indicators (KPIs), Performance Measurement, Performance Metric, AI Product Strategy, Business Solutions
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Model Evaluation, Feature Engineering, Data Preprocessing, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Data Science, Matplotlib, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning, Classification Algorithms
Beginner Ā· Guided Project Ā· Less Than 2 Hours

Skills you'll gain: Model Evaluation, Forecasting, Trend Analysis, Statistical Visualization, Spreadsheet Software, Predictive Analytics, Regression Analysis, Time Series Analysis and Forecasting, Data Visualization, Statistical Analysis, Plot (Graphics), Data-Driven Decision-Making, Data Analysis
Intermediate Ā· Guided Project Ā· Less Than 2 Hours