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: Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Large Language Modeling, Model Evaluation, Embeddings, Data Preprocessing, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Time Series Analysis and Forecasting, Data Analysis, Unstructured Data, Data Cleansing, Data Processing, Classification Algorithms, Deep Learning, Machine Learning Methods, Unified Modeling Language, Machine Learning Algorithms
Intermediate · 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: Credit Risk, Loans, Environmental Social And Corporate Governance (ESG), Bank Regulations, Risk Management, Derivatives, Financial Analysis, Risk Analysis, Financial Statement Analysis, Investment Management, Financial Market, Portfolio Management, Financial Modeling, Compliance Management, Business Valuation, Economics, Business Modeling, Structural Analysis
Intermediate · 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

Johns Hopkins University
Skills you'll gain: Data Warehousing, Apache Hadoop, Databases, Transaction Processing, Distributed Computing, Database Systems, Database Management Systems, Relational Databases, Database Management, Database Architecture and Administration, Cloud Computing, Big Data, Machine Learning Software, Data Processing, Machine Learning, Scalability, Data Integrity, Disaster Recovery
Intermediate · Course · 1 - 4 Weeks
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

Skills you'll gain: Financial Statement Analysis, Financial Accounting, Financial Analysis, Balance Sheet, Financial Modeling, Income Statement, Business Valuation, Financial Forecasting, Investment Banking, Cash Flows, Regulatory Compliance, Banking, Finance, Retail Banking, Ethical Standards And Conduct
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Big Data, Analytics, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Google Cloud Platform, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Equities, Capital Markets, Investment Banking, Business Valuation, Financial Modeling, Global Marketing, Market Share, Financial Forecasting, Financial Analysis, Market Dynamics, Financial Statements, International Finance, Financial Regulations, Underwriting, Fundraising
Mixed · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis, Seaborn, Pandas (Python Package), Matplotlib
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Customer Analysis, Applied Machine Learning, R Programming, Data Preprocessing, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: AWS SageMaker, Image Analysis, Deep Learning, Keras (Neural Network Library), Model Evaluation, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Computer Vision, Applied Machine Learning, Machine Learning, Python Programming, Matplotlib, Data Science
Intermediate · Guided Project · Less Than 2 Hours