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: Rmarkdown, Web Scraping, Geospatial Information and Technology, Microsoft Azure, Cloud Storage, Interactive Data Visualization, R Programming, Data Collection, Cloud Services, Data Manipulation, Data Science, Data Visualization Software, Data Integration, Data Analysis, Data Ethics, Application Programming Interface (API)
Beginner · Course · 1 - 3 Months

Skills you'll gain: Cloud Solutions, Cloud Infrastructure, Digital Transformation, Cloud Computing, Public Cloud, Hybrid Cloud Computing, Multi-Cloud, Cloud Security, Software As A Service, Platform As A Service (PaaS), Infrastructure As A Service (IaaS), Business Transformation, Technology Strategies, Capital Expenditure, Financial Modeling
Beginner · Course · 1 - 3 Months

LearnQuest
Skills you'll gain: Exploratory Data Analysis, Teradata SQL, JSON, Data Integration, Advanced Analytics, Data Cleansing, Text Mining, Data Quality, Data Analysis, Statistical Analysis, Application Programming Interface (API), Database Management, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks
University of Lausanne
Skills you'll gain: Health Policy, Public Health, Health Systems, Geographic Information Systems, Systems Thinking, Community Health, Spatial Analysis, Governance, Policy Development, Social Determinants Of Health, Sustainable Development, Health Assessment, Systems Analysis, Predictive Modeling, Environmental Issue, Data Collection, Machine Learning
Beginner · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Google Cloud Platform, Google Workspace, Natural Language Processing, Scripting, Cloud API, Document Management, Machine Learning
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Classification Algorithms, Machine Learning, Decision Tree Learning, Data Science, Ggplot2, Feature Engineering, Data Preprocessing, Statistical Programming, Predictive Modeling, Data Manipulation, Model Evaluation, Regression Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Analysis, R Programming, Predictive Analytics, Exploratory Data Analysis, Supervised Learning, Statistical Analysis, Correlation Analysis, Probability & Statistics, Data Manipulation, Linear Algebra, Statistical Hypothesis Testing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Continuous Deployment, R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Docker (Software), Application Programming Interface (API)
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Threat Detection, Statistical Analysis, Exploratory Data Analysis, Trend Analysis, Real Time Data, Statistical Methods, Performance Tuning, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Data Manipulation, Data Transformation, Tidyverse (R Package), Data Wrangling, R Programming, Exploratory Data Analysis, Data Analysis, Data Cleansing
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Transfer Learning, Small Data, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Unsupervised Learning, Machine Learning, Generative AI, Data Synthesis, Supervised Learning, Model Evaluation
Mixed · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Responsible AI, Prompt Engineering, AI Security, Google Gemini, Gemini, Prompt Patterns, Generative AI, Embeddings, Multimodal Prompts, AI Product Strategy, Model Deployment, Vector Databases, Keras (Neural Network Library), Generative Model Architectures, Cloud Security, Data Ethics, Application Security, Natural Language Processing, Recurrent Neural Networks (RNNs), Machine Learning
Advanced · Specialization · 3 - 6 Months