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: Exploratory Data Analysis, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Scikit Learn (Machine Learning Library), Data Preprocessing, Statistical Machine Learning, Feature Engineering
Intermediate · Course · 1 - 3 Months

Microsoft
Skills you'll gain: Data Manipulation, Data Cleansing, Data Quality, Data Preprocessing, Tidyverse (R Package), Data Transformation, R Programming, Text Mining, Data Validation, Generative AI, Anomaly Detection
Beginner · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Feature Engineering, Exploratory Data Analysis, AI Enablement, Artificial Intelligence, Responsible AI, Data Analysis, Descriptive Statistics, Technology Strategies, Business Strategy, Machine Learning, Data Management, Data Preprocessing, Computer Vision, Unstructured Data, Predictive Modeling, Natural Language Processing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Splunk, Dashboard, Business Intelligence, Scatter Plots, Data Visualization Software, Data-Driven Decision-Making, Software Installation, Graphing, Real Time Data, Trend Analysis, Event Monitoring, Transaction Processing, Anomaly Detection, System Configuration, Correlation Analysis, Statistical Analysis, Data Manipulation
Mixed · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Pandas (Python Package), Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Dimensionality Reduction, Statistical Methods, Data Transformation, Feature Engineering, Unsupervised Learning, Performance Tuning
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Code Review, GitHub, Git (Version Control System), Version Control, Docker (Software), Software Development Tools, Continuous Integration, Containerization, Bioinformatics, Informatics, Automation, Data Analysis, R Programming
Advanced · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Data Visualization, Data Literacy, Data Presentation, Data Storytelling, Data Analysis, Data Cleansing, Data Preprocessing, Technical Communication
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Cloud Computing Architecture, Systems Architecture, Performance Tuning, Distributed Computing, Machine Learning, Scalability, Data Pipelines, Data Processing
Advanced · Course · 1 - 3 Months

Skills you'll gain: Marketing Analytics, Web Analytics, Content Performance Analysis, Marketing Effectiveness, Marketing Automation, Data Analysis, Customer Insights, Data-Driven Decision-Making, Statistical Analysis, Web Analytics and SEO, Model Evaluation, Anomaly Detection, Continuous Monitoring, Quality Assessment, Verification And Validation
Beginner · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Platform As A Service (PaaS), Containerization, Serverless Computing, Cloud Platforms, Docker (Software), Cloud Management, Cloud Computing Architecture, Cloud Computing, Information Management, Cloud Infrastructure, Cloud Security, Cloud Deployment, Application Deployment, Model Deployment, DevOps, Amazon Web Services, Data Management, Database Management Systems, Microservices, Machine Learning
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Generative Adversarial Networks (GANs), Responsible AI, Embeddings, Data Synthesis, SAS (Software), Text Mining, Natural Language Processing
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Time Series Analysis and Forecasting, Forecasting, Bayesian Statistics, Data Science, Statistical Methods, Anomaly Detection, Probability Distribution, Machine Learning Methods, Estimation, Statistical Analysis, Sampling (Statistics)
Intermediate · Course · 1 - 3 Months