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.

Skills you'll gain: Risk Analysis, Portfolio Risk, Google Sheets, Financial Analysis, Risk Management, Quantitative Research, Spreadsheet Software, Statistical Analysis, Statistics, Probability & Statistics
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Shiny (R Package), Data Presentation, Exploratory Data Analysis, Data Wrangling, Predictive Modeling, Tidyverse (R Package), Data Science, Data Collection, Data Storytelling, Interactive Data Visualization, Data Manipulation, Dashboard, Data Analysis, Data Cleansing, R Programming, Statistical Modeling, Regression Analysis, Ggplot2, Data Visualization, Data Transformation
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Data Quality, Image Analysis, Data Pipelines, Applied Machine Learning, Data Preprocessing, Model Evaluation, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, Scalability, Deep Learning, C and C++, Performance Tuning, Convolutional Neural Networks, Data-oriented programming, Distributed Computing, Linear Algebra, Computer Graphics, Hardware Architecture, Mathematical Software, Numerical Analysis, Programming Principles, Computer Architecture, System Programming, Program Development, Machine Learning
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric
Intermediate · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Model Evaluation, Model Deployment, Supervised Learning, Feature Engineering, Predictive Modeling, Data Processing, Data Manipulation, Predictive Analytics, MLOps (Machine Learning Operations), Classification Algorithms, Applied Machine Learning, Data Visualization, Design Thinking, Web Scraping, Machine Learning Algorithms, Flask (Web Framework), Data Visualization Software, Data Validation, Machine Learning, Python Programming
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Data Science, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Case Studies, Data Access, Database Management Systems, Program Development, Data Presentation, Scripting, Perl (Programming Language), Data Processing, Automation, Data Integration, Statistical Programming, Stored Procedure, Data Manipulation, Data Transformation, Debugging, Data Analysis
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Engineering Calculations, Mechanical Engineering, Numerical Analysis, Chemistry, Physics, Simulation and Simulation Software, Mathematical Modeling, Differential Equations
Advanced · Course · 1 - 4 Weeks

University of California, Santa Cruz
Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Methods, Probability Distribution, Classification Algorithms
Intermediate · Course · 1 - 3 Months

UNSW Sydney (The University of New South Wales)
Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Machine Learning Methods, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Convolutional Neural Networks, Deep Learning, Supervised Learning, Classification Algorithms, Probability & Statistics, Artificial Neural Networks
Intermediate · Course · 3 - 6 Months

Duke University
Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Model Deployment, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Numerical Analysis, Application Programming Interface (API), Command-Line Interface
Intermediate · Course · 1 - 3 Months