Data Science Courses
Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization. You can build skills in programming with Python or R, data cleaning, and interpreting complex datasets. Many courses introduce tools like SQL for database management, Tableau for visual storytelling, and TensorFlow for developing AI models, showing how these skills are applied in real-world projects.
Popular Data Science Courses and Certifications
Status: PreviewNanyang Technological University, Singapore
Skills you'll gain: Geometry, Materials science, Chemistry, Art History, Architectural Design, Chemical Engineering, Physical Science, Applied Mathematics, Biology
Status: Free TrialBoard Infinity
Skills you'll gain: Node.JS, MongoDB, Middleware, Databases, Authorization (Computing), Authentications, Data Validation
Status: PreviewBoard Infinity
Skills you'll gain: Middleware, Node.JS, Development Environment, Application Development, JavaScript Frameworks, TypeScript, Web Applications, Web Development Tools, Application Programming Interface (API), Server Side, Javascript, Android Development, Dependency Analysis
Status: Free TrialWhizlabs
Skills you'll gain: Amazon S3, Cloud Storage, Data Storage, Data Storage Technologies, Data Store, Amazon Elastic Compute Cloud, AWS Identity and Access Management (IAM), Cloud Security, Security Controls, File Management, Authorization (Computing), File Systems, Key Management, Encryption
Status: PreviewUniversidades Anáhuac
Skills you'll gain: Customer Success Management, Customer Service, Customer Retention, Customer Engagement, Customer Relationship Management, Customer and Client Support, Customer experience improvement, Customer Data Management, Customer Insights, Sales Management, Leadership, Business Metrics, Performance Metric, General Sales Practices, Sales Strategy, Cross-Functional Collaboration
Status: PreviewErasmus University Rotterdam
Skills you'll gain: R Programming, Statistical Modeling, Regression Analysis, Correlation Analysis, Statistical Analysis, R (Software), Data Modeling
Status: Free TrialUniversidad Austral
Skills you'll gain: Web Scraping, Data Integration, Data Processing, Data Cleansing, Natural Language Processing, Jupyter, Pandas (Python Package), Scripting, Data Transformation, Data Capture, JSON, Text Mining, Hypertext Markup Language (HTML), Javascript
Coursera
Skills you'll gain: Project Schedules, Project Management Software, Workflow Management, Dashboard, Real Time Data, Timelines, Kanban Principles, Database Software, Project Management, Scheduling, Data Sharing, Leadership, Problem Solving
Status: Free TrialSkills you'll gain: LangChain, Prompt Engineering, LLM Application, Large Language Modeling, Tool Calling, ChatGPT, Google Gemini, OpenAI, Generative AI Agents
Status: Free TrialSkills you'll gain: Feasibility Studies, Software Development Methodologies, Business Analysis, Software Design, Business Process Modeling, Process Flow Diagrams, Communication, Stakeholder Communications, Business Communication, Product Lifecycle Management
Status: Free TrialJohns Hopkins University
Skills you'll gain: Integral Calculus, Calculus, Geometry, Applied Mathematics, Mechanics, Engineering Calculations, Mathematical Modeling, Physics
Status: PreviewSkills you'll gain: Medical Imaging, Semiconductors, Physics, Electronics, Radiation Therapy, Science and Research, Physical Science, Energy and Utilities, Research, Innovation
In summary, here are 10 of our most popular data science courses
- Beauty, Form & Function: An Exploration of Symmetry: Nanyang Technological University, Singapore
- Building RESTful APIs with Node.js and Express: Board Infinity
- Fundamentals of NestJS: Board Infinity
- AWS: Storage: Whizlabs
- Customer Success: Conociendo al cliente: Universidades Anáhuac
- Multilevel Modeling: Erasmus University Rotterdam
- Limpieza de datos para el procesamiento de lenguaje natural: Universidad Austral
- Get Started with Airtable: Coursera
- Introduction to Retrieval Augmented Generation (RAG): Coursera
- Introduction to Systems Analysis: IBM
