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.

DeepLearning.AI
Skills you'll gain: Federated Learning, Transfer Learning, AI Security, Large Language Modeling, PyTorch (Machine Learning Library), Information Privacy, Distributed Computing, Machine Learning
Beginner · Project · Less Than 2 Hours

Skills you'll gain: AWS SageMaker, Applied Machine Learning, Classification Algorithms, Model Evaluation, Machine Learning, Python Programming, Prototyping
Beginner · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Google Cloud Platform, Model Deployment, Serverless Computing, Cloud Deployment, Generative AI, MLOps (Machine Learning Operations), Containerization, Performance Tuning, Scalability
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, ChatGPT, Financial Trading, Performance Measurement, Technical Analysis, Artificial Intelligence, Performance Analysis, Financial Market, Portfolio Management, Benchmarking
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Spreadsheet Software, Business Analysis, Data Manipulation, Excel Formulas, Data Analysis, Text Mining, Statistical Reporting, Data Presentation, Data Processing
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Social Network Analysis, Bayesian Network, Data Analysis, Python Programming, Probability Distribution
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Geospatial Information and Technology, Geospatial Mapping, Spatial Data Analysis, Geographic Information Systems, Unsupervised Learning, Image Analysis, Machine Learning, R Programming, Data Processing, Data Preprocessing, Classification Algorithms, Data Transformation, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Deployment, Tensorflow, Applied Machine Learning, Google Cloud Platform, Predictive Modeling, Data Processing, Machine Learning, Supervised Learning, Data Science
Advanced · Project · Less Than 2 Hours

Duke University
Skills you'll gain: LLM Application, Large Language Modeling, Model Deployment, Embeddings, Application Programming Interface (API), Restful API, Natural Language Processing, Command-Line Interface, Machine Learning
Beginner · Course · 1 - 4 Weeks

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