Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.

Skills you'll gain: Apache Spark, Large Language Modeling, Applied Machine Learning, Model Training
Intermediate · Course · 1 - 3 Months

University of Maryland, College Park
Skills you'll gain: Sampling (Statistics), Data Analysis Software, Stata, Statistical Programming, Statistical Analysis, Statistical Software, Statistical Methods, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling, Probability & Statistics, Logistic Regression
Mixed · Course · 1 - 3 Months
Skills you'll gain: Blockchain, FinTech, Digital Assets, Financial Services, Payment Systems, Regulatory Compliance, Financial Regulation, Financial Systems, Financial Regulations, AI Integrations, International Finance, Emerging Technologies, Case Studies, Identity and Access Management, Insurance
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: CI/CD, Continuous Deployment, Microsoft Power Platform, Azure Synapse Analytics, Data Pipelines, Analytics, Data Governance, Advanced Analytics, Data Security, Data Architecture, Data Analysis Expressions (DAX), Data Management, Power BI, Microsoft Excel, Exploratory Data Analysis, Apache Spark, Application Deployment, SQL, Governance, Version Control
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Prompt Engineering, Generative AI, Multimodal Prompts, Cloud Deployment, Image Analysis, Application Deployment, Model Training, Computer Vision, Applied Machine Learning, Classification Algorithms
★ 4.4 (8) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Optimization, Model Evaluation, Data Transformation, Model Training, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Data Science, IBM Cloud, Python Programming
★ 4.2 (17) · Intermediate · Course · 1 - 4 Weeks

Universidad Austral
Skills you'll gain: Natural Language Processing, Machine Learning Algorithms, Artificial Neural Networks, Machine Learning Methods, Tensorflow, Applied Machine Learning, Deep Learning, Model Training, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Algorithms, Network Architecture
★ 3.7 (10) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Cleansing, Data Transformation, Alteryx, Data Manipulation, Data Import/Export, Data Wrangling, Data Processing, Data Preprocessing, Workflow Management, Email Automation, Data Literacy, Scheduling, Automation, Exploratory Data Analysis
★ 4.1 (7) · Intermediate · Guided Project · Less Than 2 Hours

Board Infinity
Skills you'll gain: Financial Statement Analysis, Financial Statements, Financial Modeling, Financial Analysis, Working Capital, Business Valuation, Financial Data, Financial Forecasting, Income Statement, Balance Sheet, Budget Management, Forecasting, Business Metrics, Accounting and Finance Software, Cash Flows, Revenue Forecasting, Budgeting, Variance Analysis, Trend Analysis, Spreadsheet Software
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Python Programming, Simulations, Debugging, Statistical Methods, Pandas (Python Package), Program Development, Test Case, Data Science, Development Testing, Software Design, Computational Thinking, Sampling (Statistics), Data Manipulation, Programming Principles, Systems Integration, Software Development
Beginner · Course · 1 - 4 Weeks

Edureka
Skills you'll gain: PySpark, Model Optimization, Data Pipelines, Dashboard Creation, Dashboard, Interactive Data Visualization, Model Training, Data Processing, Data Storage Technologies, Data Architecture, Natural Language Processing, Machine Learning Methods, Data Storage, Data Wrangling, Data Integration, Data Transformation, Machine Learning, Deep Learning
★ 2.7 (11) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, MLOps (Machine Learning Operations), Computer Vision, Applied Machine Learning, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)
Intermediate · Specialization · 1 - 3 Months