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 Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Predictive Modeling, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Preprocessing
Mixed · Course · 1 - 4 Weeks

LearnQuest
Skills you'll gain: Data Ethics, Responsible AI, AI Security, Machine Learning, Information Privacy, Personally Identifiable Information, Ethical Standards And Conduct, Artificial Intelligence, Data Security, Data Governance, Cybersecurity, Algorithms
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Deep Learning, Keras (Neural Network Library), Tensorflow, Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Generative AI, Prompt Engineering, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Big Data, Model Deployment, Machine Learning, Data Preprocessing, Natural Language Processing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Hedge Accounting, Portfolio Risk, Risk Modeling, Risk Management, Risk Analysis, Risk Management Framework, Investment Management, Regression Analysis, Accounting, Portfolio Management, Financial Analysis, Analysis, Statistical Analysis, Derivatives, Fund Accounting, Financial Trading, Case Studies, International Finance, Tax Laws
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: R Programming, Analysis, Mathematical Software, Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

Northeastern University
Skills you'll gain: Natural Language Processing, Embeddings, Model Evaluation, Data Ethics, Responsible AI, Deep Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Supervised Learning, Machine Learning Algorithms, Classification Algorithms
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Business Valuation, Financial Modeling, Benchmarking, Financial Statement Analysis, Return On Investment, Financial Analysis, Financial Data, Investment Management, Equities, Financial Statements, Cash Flows
Mixed · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Data Preprocessing, Box Plots, E-Commerce, Business Analytics, Data Visualization Software, Histogram, Data Analysis, Scatter Plots, Exploratory Data Analysis, Pandas (Python Package), Jupyter, Software Installation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Governance, Data Management, AI Workflows, Predictive Modeling, Machine Learning, Data Pipelines, Feature Engineering, Model Evaluation, Performance Tuning
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Skills you'll gain: Survey Creation, Epidemiology, Data Collection, Public Health, Health Equity, Health Policy, Health Informatics, Sampling (Statistics), Health Disparities, Health Assessment, Health Information Management, Data Integration, Electronic Medical Record System, Continuous Monitoring, Information Systems
Beginner · Course · 1 - 4 Weeks