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.

Johns Hopkins University
Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), Git (Version Control System), GitHub, Software Versioning, Data Literacy, General Science and Research, Data Analysis, R Programming, Development Environment, Statistical Reporting, Software Installation
Mixed · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Sampling (Statistics), Data Visualization, Plot (Graphics), Data Literacy, Statistics, Scientific Visualization, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, NumPy, Data Dictionary, Box Plots, Python Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Machine Learning Methods, Statistical Hypothesis Testing, Model Training, Data Processing, Machine Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Meta Ads Manager, Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Marketing Analytics, Data-Driven Marketing, Bayesian Statistics, Data Visualization, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, Target Audience, Marketing Strategies, Pandas (Python Package), Data Analysis, Data Visualization Software, A/B Testing, Data Collection, Marketing, Interviewing Skills
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Risk Modeling, Operations Research, Regression Analysis, Microsoft Excel, Business Analytics, Risk Analysis, Business Modeling, Data Modeling, Financial Modeling, Business Analysis, Risk Management, Resource Allocation, Statistical Analysis, Decision Intelligence, Mathematical Modeling, Process Optimization, Statistical Methods, Spreadsheet Software, Predictive Analytics, Transportation Operations
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Data Wrangling, Data Presentation, Big Data, Interactive Data Visualization, Data Analysis, Statistical Visualization, Data Cleansing, Apache Hadoop, Statistical Analysis, Data Visualization, Data Import/Export, Apache Hive, Data Mart, Data Processing, Data Warehousing, Data Transformation, Apache Spark, Data Science, Microsoft Excel
Beginner · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Program Management, Risk Management, Stakeholder Engagement, Project Management Institute (PMI) Methodology, Stakeholder Analysis, Strategic Decision-Making, AI literacy, Decision Intelligence, Stakeholder Management, AI Integrations, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Governance, Model Evaluation, Machine Learning
Intermediate · Specialization · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Fine-tuning, LLM Application, Model Training, Model Deployment, Python Programming, Scalability, Model Optimization, Machine Learning, Model Evaluation, Reinforcement Learning
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms
Beginner · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Deductive Reasoning, Logical Reasoning, Probability, Sampling (Statistics), Probability & Statistics, Statistical Inference, Correlation Analysis, Decision Intelligence
Beginner · Course · 1 - 3 Months

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

Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Applied Machine Learning, Dimensionality Reduction, Text Mining, Statistical Machine Learning, Classification Algorithms, Logistic Regression, Feature Engineering, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks