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.

University of London
Skills you'll gain: Cryptography, Cryptographic Protocols, Application Security, Cybersecurity, Data Security, Encryption, Vulnerability Assessments, Information Systems Security, Key Management, Infrastructure Security, Public Key Infrastructure, Public Key Cryptography Standards (PKCS), Authentications, Mobile Security, Data Integrity
★ 4.6 (76) · Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, GitHub Copilot, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
★ 3.8 (123) · Intermediate · Specialization · 1 - 3 Months

Macquarie University
Skills you'll gain: Cryptography, Encryption, Network Security, Cybersecurity, Key Management, Security Engineering, Network Protocols, Federated Learning, Data Integrity, Security Management
Beginner · Course · 1 - 3 Months

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Technical Communication, Data Presentation, Statistical Reporting, R Programming, Statistical Analysis, Statistical Modeling, Statistical Programming, Data Analysis, Time Series Analysis and Forecasting, R (Software), Markov Model, Statistical Methods, Statistical Inference, Sampling (Statistics), Simulations, Model Evaluation, Probability Distribution
★ 4.5 (10) · Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Model Optimization, Data Manipulation, Data Visualization
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Transfer Learning, Image Quality, Model Training, Image Analysis, Analysis, Computer Vision, Tensorflow, Data Quality, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Performance Analysis, Docker (Software), Python Programming
Intermediate · Specialization · 1 - 3 Months
University of Michigan
Skills you'll gain: Text Mining, Data Preprocessing, Natural Language Processing, Data Mining, Data Processing, Classification Algorithms, Unstructured Data, Feature Engineering, Data Manipulation, Data Cleansing, Python Programming, Applied Machine Learning, Unsupervised Learning, Model Training, Supervised Learning
★ 4.2 (3.8K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Retail Banking, Bank Regulations, Customer Analysis, Lending and Underwriting, Loan Origination, Commercial Lending, Banking Services, Banking, Loan Documentation, Consumer Lending, Deposit Accounts, Mortgage Loans, Data-Driven Marketing, Payment Systems, Credit/Debit Card Processing, General Lending, Service Design, Financial Inclusion, Regulatory Compliance, Commercial Banking
★ 5 (30) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Plot (Graphics), Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Statistical Methods, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability, Python Programming
Beginner · Course · 1 - 4 Weeks

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Statistical Software, Sampling (Statistics), Mathematical Modeling, Regression Analysis, R Programming, Logistic Regression, Simulations, Data Analysis, Correlation Analysis, Probability Distribution
★ 4.8 (497) · Intermediate · Course · 1 - 3 Months
Skills you'll gain: Exploratory Data Analysis, Database Design, Shiny (R Package), Ggplot2, Data Wrangling, Data Visualization Software, Data Visualization, Relational Databases, Statistical Visualization, Statistical Analysis, Data Analysis, Rmarkdown, Model Evaluation, Data Presentation, SQL, Database Development, Leaflet (Software), R (Software), Data Manipulation, Web Scraping
★ 4.5 (1.3K) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Python Programming, Program Development, Game Design, Code Reusability, Computer Programming, Programming Principles, Functional Design, Development Environment, Computational Logic, Building Codes
Beginner · Course · 1 - 4 Weeks