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.

John Wiley & Sons
Skills you'll gain: Supervised Learning, Statistical Methods, Exploratory Data Analysis, Data Preprocessing, Model Evaluation, Data Processing, Data Quality, Model Deployment, Data Transformation, Machine Learning Methods, Image Analysis, Statistics, Statistical Machine Learning, Data Analysis, Data Science, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Computer Vision, Machine Learning Algorithms
Beginner · Specialization · 1 - 3 Months

Northeastern University
Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Artificial Neural Networks, Model Optimization, Deep Learning, Model Training, Bayesian Network, Mathematical Modeling, Estimation, Model Evaluation, Applied Mathematics, Network Architecture, Probability Distribution
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Apache Spark, PySpark, Databricks, Data Processing, Big Data, Apache, Real Time Data, Model Training, Python Programming, Model Evaluation, Data Manipulation, Machine Learning, SQL, Data Transformation, Performance Tuning, Distributed Computing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Logistic Regression, Model Training, Probability & Statistics, Model Evaluation, Statistical Software, Machine Learning Methods, Machine Learning Software
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Natural Language Processing, Deep Learning, Autoencoders, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, AI Personalization, Machine Learning, Embeddings, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Convolutional Neural Networks, Image Analysis, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Neural Networks, Applied Machine Learning, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Lean Manufacturing, Lean Methodologies, Lean Six Sigma, Manufacturing Operations, Process Improvement, Process Optimization, Six Sigma Methodology, Production Process, Strategic Planning, Organizational Strategy, Key Performance Indicators (KPIs), Process Analysis, Manufacturing Processes, Strategic Leadership, Continuous Improvement Process, Performance Metric, Operational Analysis, Organizational Change, Performance Measurement, Operations Research
★ 4.3 (6) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Object Oriented Programming (OOP), C++ (Programming Language), C and C++, Data Presentation, Scientific Visualization, Application Development, Object Oriented Design, Data Visualization Software, Statistical Visualization, Plot (Graphics), Application Design, Visualization (Computer Graphics), Programming Principles, Data Visualization, Graphical Tools, Computational Thinking, Computer Graphic Techniques, Program Development, Graphic and Visual Design, Software Visualization
★ 4.1 (15) · Beginner · Specialization · 3 - 6 Months

Alberta Machine Intelligence Institute
Skills you'll gain: Data Ethics, Machine Learning, Applied Machine Learning, Data Preprocessing, Business Priorities, Training Records Management, Operational Data Store, Product Lifecycle Management, Machine Learning Methods, Data Collection, Model Training, AI Enablement, Data Processing, Business Requirements
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Probability & Statistics, Transfer Learning, NumPy, Matplotlib, Model Training, Model Optimization, Convolutional Neural Networks, Deep Learning, Applied Machine Learning, Statistics, Data Visualization, Keras (Neural Network Library), Statistical Hypothesis Testing, Fine-tuning, Machine Learning Methods, Python Programming
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Hypothesis Testing, Statistical Inference, Statistical Methods, Statistics, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Analysis, Correlation Analysis
Beginner · Course · 1 - 4 Weeks

University of Washington
Skills you'll gain: Model Evaluation, Regression Analysis, Model Training, Statistical Machine Learning, Supervised Learning, Machine Learning Methods, Predictive Modeling, Statistical Modeling, Statistical Methods, Machine Learning, Machine Learning Algorithms, Model Optimization, Predictive Analytics, Applied Machine Learning, Feature Engineering, Statistical Programming, Model Deployment, Algorithms
Mixed · Course · 1 - 3 Months