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.

Erasmus University Rotterdam
Skills you'll gain: R Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Statistical Analysis, R (Software), Data Preprocessing, Data Quality, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Splunk Inc.
Skills you'll gain: Splunk, Correlation Analysis, Performance Tuning, Data Manipulation, Data Analysis, Data Modeling, Big Data, Transaction Processing, Data Science, Business Analytics, Data Visualization
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Version Control, Software Documentation, Microsoft Copilot, Microsoft Visual Studio, Program Development, Statistical Analysis, Development Environment, Descriptive Statistics, Debugging
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Generative AI, Responsible AI, Financial Data, Complex Problem Solving, Microsoft Copilot, ChatGPT, Data-Driven Decision-Making, Data Analysis, Financial Analysis, Business Ethics, Data Visualization Software
Beginner · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Model Evaluation, Feature Engineering, Data Preprocessing, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Data Science, Matplotlib, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms
Intermediate · Course · 1 - 4 Weeks

Howard University
Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Applied Mathematics, Data Preprocessing, Statistical Modeling, Jupyter, Data Analysis, Machine Learning Methods, Mathematical Modeling, Algebra, Exploratory Data Analysis, Python Programming, Model Evaluation, Statistical Analysis
Beginner · Specialization · 3 - 6 Months

American Psychological Association
Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistics, Statistical Analysis, Data Literacy, Statistical Visualization, Data Analysis, Graphing, Arithmetic
Beginner · Course · 1 - 3 Months

Wesleyan University
Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Data Analysis, Data Visualization, Analytical Skills, Report Writing, Data Science, Data Management, Big Data, Statistical Analysis, Real Time Data, Research, Research Design
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, Microservices, Machine Learning, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Seaborn, Plotly, Data Visualization, Data Visualization Software, Interactive Data Visualization, Data Analysis, Python Programming, Predictive Modeling, Data Science, Jupyter, Cloud Applications
Intermediate · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Feature Engineering, Model Evaluation, Tensorflow, Model Deployment, Google Cloud Platform, Data Quality, Data Preprocessing, Keras (Neural Network Library), Machine Learning, Embeddings, Exploratory Data Analysis, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Logistic Regression, MLOps (Machine Learning Operations), Responsible AI, Data Pipelines, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months