Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.

Skills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Cyber Threat Intelligence, Threat Modeling, MITRE ATT&CK Framework, Threat Detection, Intelligence Collection and Analysis, Report Writing, Technical Communication, Cyber Security Strategy, Cybersecurity, Data Storytelling, Verbal Communication Skills, Vulnerability Assessments, Incident Response, Risk Analysis, Communication, Malware Protection, Application Security, Infrastructure Security, Analysis
Intermediate · Course · 1 - 3 Months

University of California, Irvine
Skills you'll gain: Supply Chain Planning, Demand Planning, Customer Demand Planning, Supply Chain Management, Supply Chain, Capacity Planning, Production Planning, Materials Management, Forecasting, Performance Measurement, Microsoft Excel, Data-Driven Decision-Making, Statistical Methods, Key Performance Indicators (KPIs), Data Analysis, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Anomaly Detection, Predictive Analytics
Intermediate · Course · 1 - 4 Weeks

New York Institute of Finance
Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Markov Model, Portfolio Risk, Financial Market, Time Series Analysis and Forecasting, Risk Management
Intermediate · Course · 1 - 4 Weeks

Wesleyan University
Skills you'll gain: Social Sciences, Psychology, Persuasive Communication, Sociology, Empathy & Emotional Intelligence, Behavior Management, Conflict Management, Research, Diversity Awareness, Ethical Standards And Conduct
Beginner · Course · 1 - 3 Months

Skills you'll gain: Swift Programming, Mobile Development, Apple iOS, Apple Xcode, Application Development, UI Components, Data Persistence, User Interface (UI), Debugging, User Interface (UI) Design, Data Structures, Data Modeling, Animations
Beginner · Course · 3 - 6 Months

Skills you'll gain: Sampling (Statistics), Logistic Regression, SAS (Software), Predictive Analytics, Automation, Data Integration, Advanced Analytics, Debugging, Statistical Programming, SQL, Statistical Methods, Report Writing, Data Manipulation, Model Evaluation, Data Analysis, Statistical Reporting, Data Access, Microsoft Excel, Analysis, Finance
Beginner · Specialization · 3 - 6 Months

University of Colorado System
Skills you'll gain: Data Warehousing, SQL, Data Governance, Data Integration, Data Management, Business Intelligence, Oracle Databases, Analytics, PostgreSQL, Data Mining, Big Data, Relational Databases, Database Management Systems, Data Architecture
Mixed · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Machine Learning, Model Evaluation, Performance Tuning, Classification Algorithms
Build toward a degree
Intermediate · Course · 1 - 3 Months
Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Bootstrap (Front-End Framework), Software Development Life Cycle, Cloud-Native Computing, Software Architecture, Browser Compatibility, User Centered Design, React Redux, CI/CD, Cloud Applications, Responsive Web Design, Cloud Development, NoSQL, Git (Version Control System), GitHub, Webpack, Application Development, MongoDB, Web Design and Development, HTML and CSS, Engineering Software
Beginner · Professional Certificate · 3 - 6 Months