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 Geneva
Skills you'll gain: Data-oriented programming, Operating Systems, Simulation and Simulation Software
Intermediate · Course · 1 - 3 Months

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Linear Algebra, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Data Analysis, Geometry, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Artificial Neural Networks, Data Manipulation
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Google Cloud Platform, Cloud Computing, Applied Machine Learning, Datamaps, Model Deployment, Cloud Services, Spatial Data Analysis, Machine Learning, Real Time Data
Beginner · Project · Less Than 2 Hours

Splunk Inc.
Skills you'll gain: Data Modeling, Splunk, Pivot Tables And Charts, Data Management, Database Management, Query Languages, Data Integration, Performance Tuning, Data Science, Data Analysis, Big Data, Business Intelligence, Business Analytics, Geospatial Information and Technology, Statistics
Beginner · Course · 1 - 4 Weeks

Red Hat
Skills you'll gain: Object Oriented Programming (OOP), JSON, Python Programming, Debugging, Data Structures, Red Hat Enterprise Linux, Computer Programming, Statistical Programming, Web Development, Scripting, Scripting Languages, Development Environment, Text Mining, Software Installation
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Ggplot2, Tidyverse (R Package), Data Visualization, Data Analysis, Exploratory Data Analysis, R Programming, Data Visualization Software, Data Manipulation, R (Software)
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Embeddings, Data Preprocessing, AI Personalization, Deep Learning, Model Evaluation, Transfer Learning, Model Deployment, Open Source Technology, Data Processing, Machine Learning, Data Cleansing, Data Visualization, Database Systems
Beginner · Course · 1 - 3 Months

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Data Literacy, Technical Communication, Probability & Statistics, Web Scraping, Data Import/Export, JSON, Data Integration, Statistical Analysis, Pandas (Python Package), Image Analysis, Advanced Analytics, Analytical Skills, Analysis, Data-Driven Decision-Making, Case Studies, Data Manipulation, AI Enablement, Descriptive Statistics, Statistical Inference, Unsupervised Learning
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Financial Modeling, Balance Sheet, Financial Statement Analysis, Financial Statements, Revenue Forecasting, Depreciation, Capital Expenditure, Financial Analysis, Financial Forecasting, Business Valuation, International Finance, Working Capital, Business Metrics, Equities, Cash Flows, Forecasting
Mixed · Course · 1 - 4 Weeks

Universidad Nacional de Colombia
Skills you'll gain: Electric Power Systems, Time Series Analysis and Forecasting, Data Mining, Data Science, Statistical Methods, Python Programming, Data Manipulation, Data Preprocessing, Data Visualization Software, Classification And Regression Tree (CART), Regression Analysis, Artificial Neural Networks
Intermediate · Course · 1 - 3 Months

Whizlabs
Skills you'll gain: Model Evaluation, AWS SageMaker, Predictive Modeling, Data Modeling, Amazon Web Services, Machine Learning, Machine Learning Algorithms, Performance Tuning
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Machine Learning, Data Preprocessing, Model Evaluation
Intermediate · Guided Project · Less Than 2 Hours