Math for Data Science Courses
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.
Popular Math for Data Science Courses and Certifications
Status: Free TrialLearnQuest
Skills you'll gain: Angular, JavaScript Frameworks, TypeScript, UI Components, Data Transformation, Web Development Tools, Hypertext Markup Language (HTML), Application Frameworks, Network Routing, Cascading Style Sheets (CSS), Model View Controller, Data Validation
Skills you'll gain: Apple iOS, Apple Xcode, Swift Programming, Mobile Development, Objective-C (Programming Language), User Interface (UI), Development Environment, Simulations, Storyboarding
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics
Status: NewStatus: Free TrialSkills you'll gain: Figma (Design Software), Responsive Web Design, UI Components, User Interface (UI), Layout Design, User Interface (UI) Design, Design Strategies, Web Design, Scalability, Prototyping
Status: Free TrialScrimba
Skills you'll gain: Cascading Style Sheets (CSS), Responsive Web Design, HTML and CSS, Web Design and Development, Front-End Web Development, Web Design, Computer Programming
Status: Free TrialUniversity of Minnesota
Skills you'll gain: Social Determinants Of Health, Health Disparities, Health Equity, Health Policy, Systems Thinking, Health Informatics, Public Health, Community Health, Social Impact, Data Analysis, R Programming, Data Visualization, Data-Driven Decision-Making
Status: Free TrialUniversity of California, Irvine
Skills you'll gain: Workforce Development, Higher Education, Academic Advising, Relationship Building, Market Dynamics, Research, Student Engagement, Discussion Facilitation, Analysis, Diversity and Inclusion, Decision Making
Skills you'll gain: Dashboard, Data Preprocessing, Data Visualization Software, Real Time Data, Node.JS, Data Analysis, Application Programming Interface (API), Web Development Tools, JSON, Javascript
Status: Free TrialIIMA - IIM Ahmedabad
Skills you'll gain: Digital Transformation, Innovation, Business Transformation, Organizational Strategy, Artificial Intelligence, Technology Strategies, Organizational Change, Cognitive flexibility, Industrial and Organizational Psychology, Emotional Intelligence, Decision Making
Status: Free TrialUniversity of Michigan
Skills you'll gain: Generative AI, Art History, Artificial Intelligence, Creativity, Innovation, Collaboration, Experimentation, Music History
Coursera
Skills you'll gain: SQL, PostgreSQL, Database Management, Data Manipulation, Database Systems
Status: Free TrialUniversity of Florida
Skills you'll gain: Land Management, Sustainable Development, Sustainable Systems, Water Resource Management, Water Resources, Sustainability Standards, Environment and Resource Management, Environment, Environmental Science, Natural Resource Management, Systems Thinking, Biology
In summary, here are 10 of our most popular math for data science courses
- Advanced Angular Topics: LearnQuest
- Introducción al desarrollo de aplicaciones móviles para iOS: Meta
- What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
- Figma Pro Pt. 1: Auto Layouts, Grids & Components: Skillshare
- Learn CSS Flexbox: Scrimba
- Introduction to Social Determinants of Health: University of Minnesota
- Collegiate Esports and Career Planning: University of California, Irvine
- Real-time data visualization dashboard using Node-red: Coursera
- Transforming Life and Organizations in the Digital Age: IIMA - IIM Ahmedabad
- Using AI to Expand Creativity: University of Michigan
