Math for Data Science courses can help you learn statistical analysis, linear algebra, probability theory, and calculus. You can build skills in data visualization, hypothesis testing, and regression analysis, which are crucial for interpreting data effectively. Many courses introduce tools like Python, R, and SQL, along with libraries such as NumPy and Pandas, to help you apply these mathematical concepts to real datasets and enhance your analytical capabilities.

University of California, Irvine
Skills you'll gain: Embedded Software, Embedded Systems, Debugging, C (Programming Language), Electronic Components, Computer Hardware, Integrated Development Environments, Computer Programming, Electronics Engineering, Network Protocols, Development Environment, Digital Communications, Open Source Technology
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Digital pedagogy, Education Software and Technology, digital literacy, Content Management, User Accounts
Beginner · Guided Project · Less Than 2 Hours

University of Washington
Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Scalability, Data Structures, Distributed Computing, Probability Distribution, Algorithms
Mixed · Course · 1 - 3 Months

Coursera
Skills you'll gain: Project Scoping, Timelines, Proposal Writing, Business Writing, Procurement, Requirements Management, Purchasing, Bidding, Project Documentation, Vendor Management, Facility Management, Decision Making
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Value-Based Care, Health Informatics, Business Analytics, Health Information Management and Medical Records, Analytics, Patient Safety, Health Care, Patient-centered Care, Statistical Analysis, Quantitative Research, Performance Measurement, Data Analysis, Data-Driven Decision-Making, Descriptive Analytics, Organizational Strategy, Risk Analysis, Peer Review, Strategic Thinking, Data Management, Systems Thinking
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Apache Airflow, Docker (Software), SQL, Git (Version Control System), Containerization, CI/CD, Data Pipelines, Ansible, Debugging, Database Management, Continuous Deployment, Performance Tuning, Infrastructure as Code (IaC), Continuous Integration, Workflow Management, DevOps, Root Cause Analysis, Configuration Management, Automation, Python Programming
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: AWS Kinesis, Apache Kafka, Amazon Redshift, Data Lakes, Real Time Data, Data Management, Apache Hive, Apache Spark, Amazon S3, Data Pipelines, Data Processing, Big Data, Apache Hadoop, AWS Identity and Access Management (IAM), Query Languages, Serverless Computing, Scalability
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Containerization, Performance Tuning, Docker (Software), Java, Application Performance Management, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures
Advanced · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Azure Synapse Analytics, Microsoft Azure, Databricks, Big Data, Distributed Computing, Public Cloud, Cloud Computing, Data Lakes, Cloud Computing Architecture, Data Processing, Scalability, Data Storage Technologies, Analytics, Real Time Data
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, AI Workflows, AI Enablement, Agentic systems, Automation, Business Process Automation, Real Time Data, MLOps (Machine Learning Operations), AI Personalization, IT Automation, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, No-Code Development, Cloud-Based Integration, Business Transformation, Cloud API, Python Programming, Data Analysis, Restful API, API Design
Intermediate · Course · 1 - 4 Weeks
Michigan State University
Skills you'll gain: Photography, Peer Review, Photo/Video Production and Technology, Image Quality, Creativity, Design Elements And Principles
Mixed · Course · 1 - 4 Weeks