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.

O.P. Jindal Global University
Skills you'll gain: Marketing Analytics, Supervised Learning, Customer Analysis, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Machine Learning, Model Deployment, Predictive Modeling, Python Programming, Personalized Service, Data Preprocessing, Model Evaluation
Beginner · Course · 1 - 3 Months

Packt
Skills you'll gain: Data Cleansing, Data Manipulation, Advanced Analytics, Applied Machine Learning, Data Wrangling, Fraud detection, Data Transformation, Predictive Modeling, Machine Learning, Data Pipelines, Data Preprocessing, Feature Engineering, Sampling (Statistics), Data Integration, Model Evaluation, Workflow Management, Complex Problem Solving
Intermediate · Course · 1 - 3 Months

Skills you'll gain: R Programming, Alteryx, Statistical Programming, Tableau Software, Data Cleansing, Data Visualization Software, Dashboard, Data Visualization, Data Storytelling, Interactive Data Visualization, Data Presentation, Data Structures, Statistical Analysis, Workflow Management, Data Analysis, Data Processing, Data Manipulation, Data Transformation, Data Import/Export
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Regression Analysis, Supervised Learning, Data Science, Decision Tree Learning, Statistical Analysis, Classification Algorithms, Predictive Modeling, Artificial Neural Networks, Data Processing, Logistic Regression
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Pipelines, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Cloud Deployment, Data Strategy, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Performance Tuning, Dataflow, Embeddings
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Responsible AI, Anomaly Detection, Computer Vision, Image Analysis, Microsoft Azure, Data Ethics, Artificial Intelligence, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Azure DevOps, Machine Learning, Information Privacy
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Model Evaluation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Data Presentation, Machine Learning, Statistical Methods, Matplotlib, Supervised Learning
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Generative AI, Large Language Modeling, Responsible AI, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), AI Security, Deep Learning, Data Ethics, Machine Learning, Business Solutions, Data Access, Data Quality
Beginner · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Innovation, Digital Transformation, Digital Communications, Business Transformation, Data Storage, Fundraising and Crowdsourcing, Social Impact, Computational Thinking, Artificial Intelligence, Media Strategy, Information Privacy, Machine Learning
Beginner · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Machine Learning, Pandas (Python Package), Predictive Modeling, Autoencoders, Python Programming, Time Series Analysis and Forecasting, Data Manipulation
Intermediate · Specialization · 3 - 6 Months

Case Western Reserve University
Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Modeling, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Data Validation, Histogram, Box Plots, Simulation and Simulation Software, Model Evaluation
Beginner · Course · 1 - 3 Months
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks