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.

University of Michigan
Skills you'll gain: Survey Creation, Interviewing Skills, Data Collection, Research Design, Qualitative Research, Research, Cultural Sensitivity, Statistical Analysis
Mixed · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Data Preprocessing, Customer Analysis, Predictive Modeling, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Logistic Regression, Data Cleansing, Data Manipulation, Advertising, Digital Advertising, Performance Analysis, Machine Learning, Python Programming, Deep Learning
Beginner · Guided Project · Less Than 2 Hours

Universidad Nacional de Colombia
Skills you'll gain: Mathematical Modeling, Machine Learning, Applied Mathematics, System Design and Implementation, Software Development Tools, Programming Principles, Logical Reasoning, Arithmetic, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Tensorflow, Computer Vision, Transfer Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

28DIGITAL
Skills you'll gain: Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Feature Engineering, Dimensionality Reduction, Machine Learning, Model Evaluation, Predictive Modeling, Algorithms, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: R Programming, Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Statistical Programming, Data Science, Tidyverse (R Package), Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Statistical Analysis, Descriptive Statistics, Programming Principles, Data Transformation, Probability & Statistics
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Machine Learning, Applied Machine Learning, Research, Model Evaluation, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Data Collection, Surveys, Human Factors, Classification Algorithms, Experimentation, Data Quality, Statistical Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Seaborn, Matplotlib, NumPy, Scatter Plots, Statistical Visualization, Data Visualization Software, Box Plots, Histogram, Exploratory Data Analysis, Jupyter, Heat Maps, Data Manipulation, Development Environment, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Visualization, Data Visualization Software, Data Visualization, Scatter Plots, Plot (Graphics), Box Plots, Exploratory Data Analysis, Histogram, Descriptive Statistics, Heat Maps, Graphing
Intermediate · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, Machine Learning Methods, Data Science, Supervised Learning, Generative AI, Machine Learning, Anomaly Detection, Data Preprocessing, Data Analysis, Recurrent Neural Networks (RNNs), Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Jupyter, Classification Algorithms
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Credit Risk, Risk Modeling, Financial Modeling, Portfolio Risk, Lending and Underwriting, Risk Management, Bank Regulations, Regulatory Compliance, Financial Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Lean Six Sigma, Organizational Change, Lean Methodologies, Six Sigma Methodology, Organizational Leadership, Project Scoping, Root Cause Analysis, Statistical Analysis, Statistical Methods, Process Improvement, Process Analysis, Quality Improvement, Continuous Quality Improvement (CQI), Process Capability, Statistical Hypothesis Testing, Data Analysis, Kanban Principles, Waste Minimization
Mixed · Course · 1 - 4 Weeks