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.

Kennesaw State University
Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Capability, Team Management, Quality Improvement, Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Lean Methodologies, Team Building, Exploratory Data Analysis, Process Improvement, Quality Control, Probability & Statistics, Statistical Methods, Process Analysis, Lean Manufacturing, Statistical Analysis, Process Mapping, Data Collection
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Science, Statistical Inference, Data Visualization, Pandas (Python Package), Probability & Statistics, Statistics, Regression Analysis, Apache Hadoop, Big Data, Machine Learning, Data Manipulation, Data Preprocessing, Data Analysis, Analytics, Random Forest Algorithm, Python Programming, Data Mapping, Object Oriented Programming (OOP), JavaScript Frameworks, HTML and CSS
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Data Storytelling, Data Presentation, Data Governance, Predictive Modeling, Data Management, Predictive Analytics, Business Analytics, Logistic Regression, Analytics, Exploratory Data Analysis, Data Quality, Data Ethics, Data Analysis, Risk Analysis, Business Intelligence, Data Modeling, Data Visualization, Decision Making, Data Cleansing, SQL
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Exploratory Data Analysis, Financial Data, Data Analysis, Package and Software Management, R Programming, R (Software), Statistical Analysis, Expense Management, Financial Analysis, Tidyverse (R Package), Data Manipulation, Statistical Visualization, Data Import/Export
Intermediate · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Portfolio Risk, Technical Communication, Return On Investment, Portfolio Management, Regression Analysis, Performance Analysis, Risk Analysis, Investment Management, Market Data, Business Metrics, Verbal Communication Skills, Statistical Analysis, Oral Expression, Equities, Data Storytelling
Intermediate · Course · 1 - 4 Weeks
University of California San Diego
Skills you'll gain: Design Research, Interaction Design, User Experience Design, Statistical Analysis, Usability, Ideation, User Research, Graphic and Visual Design, User Interface (UI) Design, Experimentation, Prototyping, Usability Testing, Human Centered Design, Human Computer Interaction, A/B Testing, Human Factors, Collaborative Software, Telecommuting, R Programming, Storyboarding
Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Transfer Learning, Deep Learning, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, AI Product Strategy, Model Evaluation, Data-Driven Decision-Making, Performance Tuning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Regression Analysis, Financial Forecasting, Model Evaluation, Data Presentation, Technical Communication, Exploratory Data Analysis, Statistical Programming, R Programming, Statistical Modeling, Predictive Modeling, R (Software), Statistical Analysis, Verification And Validation, Plot (Graphics), Reliability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Autoencoders, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Data Analysis, Statistical Methods, Data Preprocessing, Machine Learning, Data Science, Python Programming
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: SPSS (Software), Market Data, Regression Analysis, Analytics, Data Analysis, Statistical Reporting, Technical Communication, Statistical Analysis, Data-Driven Decision-Making, Exploratory Data Analysis, Statistical Modeling, Scatter Plots, Financial Modeling, Statistical Visualization
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Text Mining, Dimensionality Reduction, Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Feature Engineering, Applied Machine Learning, Algorithms, Keras (Neural Network Library)
Intermediate · Specialization · 3 - 6 Months