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: Model Deployment, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Machine Learning, Predictive Modeling, Feature Engineering, Data Pipelines, Data Transformation, Data Science, Python Programming, Regression Analysis
Intermediate · Guided Project · Less Than 2 Hours

Amazon Web Services
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Machine Learning, Applied Machine Learning, Predictive Modeling
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Forecasting, Statistical Modeling, Model Evaluation, Feature Engineering, Data Visualization Software
Intermediate · Course · 1 - 3 Months

University of Virginia
Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Data-Driven Decision-Making, Marketing Strategies, Brand Management, Marketing, Regression Analysis, Analytics, Customer Retention, Consumer Behaviour, Return On Investment, Statistical Analysis, A/B Testing
Beginner · Course · 1 - 3 Months

Corporate Finance Institute
Skills you'll gain: Regression Analysis, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Linear Algebra, Model Evaluation, Supervised Learning, Exploratory Data Analysis
Advanced · Course · 1 - 3 Months

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Model Evaluation, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Computer Science, Deep Learning, Supervised Learning, Applied Machine Learning, Data Ethics, Recurrent Neural Networks (RNNs), Responsible AI, Convolutional Neural Networks, Data Science, Classification Algorithms
Beginner · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Data Preprocessing, Supervised Learning, NumPy, Model Evaluation, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Statistical Visualization, Python Programming, Data Science, Machine Learning, Data Analysis
Beginner · Specialization · 1 - 3 Months

Fractal Analytics
Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Model Deployment, Google Cloud Platform, AI Enablement, Artificial Intelligence, Machine Learning, User Interface (UI), Cloud Computing, Complex Problem Solving, Scalability, Critical Thinking
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Peer Review, Data Literacy, Research, Quantitative Research, Report Writing, Analytical Skills, Data Analysis, Research Methodologies, Statistical Analysis
Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: Data-Driven Decision-Making, Minitab, Regression Analysis, Logistic Regression, Statistical Hypothesis Testing, Statistical Analysis, Scatter Plots, Correlation Analysis, Data Analysis, Analytics, Predictive Analytics, Descriptive Statistics, Business Analytics, Statistical Modeling, Predictive Modeling, Forecasting, Advanced Analytics, Probability & Statistics, Exploratory Data Analysis, Statistical Methods
Beginner · Specialization · 1 - 3 Months

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Model Deployment, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)
Intermediate · Course · 1 - 4 Weeks