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.

Coursera
Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Data Visualization, Data Presentation, Probability & Statistics, Data Transformation, Analytics, Statistics, Data Visualization Software, Statistical Analysis, Data Cleansing, Advanced Analytics, Time Series Analysis and Forecasting, Correlation Analysis, Python Programming
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: LLM Application, Prompt Patterns, Large Language Modeling, Prompt Engineering, Generative AI, Token Optimization, Applied Machine Learning, Generative Model Architectures, Fine-tuning, Python Programming, Model Training, Open Source Technology, Model Optimization
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), Data Visualization, Plot (Graphics), Data Manipulation, Statistical Visualization, Data Cleansing, Text Mining, Exploratory Data Analysis, Data Analysis, Data Preprocessing, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Statistical Process Controls, Six Sigma Methodology, Lean Methodologies, Quality Management, Quality Improvement, Lean Six Sigma, Quality Monitoring, Kaizen Methodology, Quality Management Systems, Quality Control, Brainstorming, Benchmarking, Process Improvement, Continuous Quality Improvement (CQI), Run Chart, Continuous Improvement Process, Pareto Chart, Root Cause Analysis, Analysis
Mixed · Course · 1 - 4 Weeks

University of Pittsburgh
Skills you'll gain: NumPy, Matplotlib, Plot (Graphics), Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Processing, Statistical Analysis, Mathematics and Mathematical Modeling, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Stakeholder Management, Data Storytelling, People Analytics, Risk Mitigation, Workforce Planning, HR Tech, Consulting, Organizational Strategy, Persuasive Communication, Management Reporting, Communication, Data Visualization, Data Analysis, Talent Management, Strategic Thinking, Employee Engagement, Information Technology, Project Management, Empathy, Statistical Methods
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Exploratory Data Analysis, Box Plots, Plot (Graphics), Data Visualization, Ggplot2, Data Visualization Software, Statistical Visualization, Scatter Plots, Histogram, Data Analysis, Graphing, Python Programming
Intermediate · Guided Project · Less Than 2 Hours
Skills you'll gain: Model Evaluation, Applied Machine Learning, Model Training, Unsupervised Learning, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Model Optimization, Machine Learning Methods, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Keras (Neural Network Library), Tensorflow, Model Training, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Model Optimization, Machine Learning, Computer Vision
Intermediate · Guided Project · Less Than 2 Hours

The University of Chicago
Skills you'll gain: Keras (Neural Network Library), Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Statistical Machine Learning, Machine Learning Software, Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Model Training, Dimensionality Reduction, Model Evaluation, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Synthesis, Model Training, Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Model Evaluation, Deep Learning, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours
Skills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Model Evaluation, Apache Spark, Data Integration, Dataflow, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Apache Hadoop, Query Languages, Machine Learning
Intermediate · Specialization · 1 - 3 Months