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.

Northeastern University
Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving
Intermediate · Course · 1 - 4 Weeks

Erasmus University Rotterdam
Skills you'll gain: Analysis, Data Analysis, Statistical Reporting, Analytical Skills, Exploratory Data Analysis, Quantitative Research, Statistical Analysis, Statistical Software, Small Data, R (Software), R Programming, Sampling (Statistics), Technical Communication, Research Methodologies, Scatter Plots, Statistical Hypothesis Testing, Data Collection
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Data Manipulation, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Random Forest Algorithm, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Healthcare Industry Knowledge, Algorithms, Data Cleansing, Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks

Whizlabs
Skills you'll gain: AWS Kinesis, Amazon Redshift, Data Preprocessing, Data Analysis, Real Time Data, Applied Machine Learning, Data Pipelines, Data Processing, Extract, Transform, Load, Exploratory Data Analysis, Amazon S3, Data Sharing, Data Visualization Software, Data Transformation, Machine Learning, Data Management
Beginner · Course · 1 - 4 Weeks

Khalifa University
Skills you'll gain: Data Strategy, Model Deployment, Data Governance, Model Evaluation, Transfer Learning, Data Quality, Data-Driven Decision-Making, Business Leadership, Predictive Analytics, Machine Learning, Strategic Decision-Making, Artificial Intelligence, Large Language Modeling, Classification Algorithms, Regression Analysis, Decision Tree Learning
Beginner · Course · 1 - 3 Months
University of Glasgow
Skills you'll gain: Autoencoders, Model Evaluation, Deep Learning, Healthcare 5.0, Recurrent Neural Networks (RNNs), Applied Machine Learning, Time Series Analysis and Forecasting, Machine Learning, Convolutional Neural Networks, Responsible AI, Electocardiography, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

SkillsBooster Academy
Skills you'll gain: Prompt Engineering, Marketing Strategies, Artificial Intelligence and Machine Learning (AI/ML), Strategic Marketing, Marketing Analytics, Artificial Intelligence, Generative AI, Agentic systems, Content Development and Management, Digital Marketing, Content Creation, Automation, Business Ethics, Customer experience improvement, Machine Learning, Natural Language Processing, Content Management, Creativity, Ethical Standards And Conduct, Interactive Data Visualization
Beginner · Course · 1 - 3 Months

Fred Hutchinson Cancer Center
Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Laboratory Research, Metadata Management, Science and Research, R Programming, Spatial Data Analysis, Scientific Methods, Data Collection, Data Quality, Research, Quantitative Research, Informatics, Biology, Laboratory Techniques, Analysis
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Preprocessing, Data Science, Data Transformation, Machine Learning, Model Evaluation, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Databases, Big Data, SQL, Data Analysis, Data Science, Statistical Analysis
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Artificial Neural Networks, Machine Learning, Supervised Learning, Deep Learning, Cloud Computing, Development Environment
Beginner · Project · Less Than 2 Hours