Les cours en data science peuvent vous aider à comprendre comment analyser des données, créer des modèles et évaluer leurs performances. Vous pouvez développer des compétences en statistique, apprentissage automatique, préparation des données et visualisation. De nombreux cours utilisent des langages et bibliothèques courants pour travailler sur des projets pratiques.

Skills you'll gain: Prompt Engineering, Software Development Life Cycle, Cloud-Native Computing, Software Architecture, Hibernate (Java), Database Design, Responsive Web Design, Docker (Software), Containerization, Git (Version Control System), GitHub, Object Oriented Programming (OOP), Microservices, CI/CD, Restful API, Java Programming, Engineering Software, Version Control, Database Management, Software Design
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Git (Version Control System), Software Development Methodologies, JUnit, Requirements Analysis, Version Control, Application Development, Software Development Life Cycle, SQL, Full-Stack Web Development, Test Driven Development (TDD), Software Development, Restful API, Object Oriented Programming (OOP), Object Oriented Design, Database Management, MySQL, Digital Transformation, Relational Databases, Java Programming, Generative AI
Beginner · Professional Certificate · 3 - 6 Months

Princeton University
Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Java Programming, Theoretical Computer Science, Object Oriented Programming (OOP)
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Java Programming, Java, Integrated Development Environments, Mobile Development, Computer Programming, Object Oriented Programming (OOP), Debugging, Data Structures
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Java Programming, Java, Object Oriented Programming (OOP), Oracle SQL Developer, Oracle Databases
Intermediate · Specialization · 1 - 3 Months
Duke University
Skills you'll gain: Java Programming, Software Design, Debugging, Software Engineering, Javascript, Computer Programming, Event-Driven Programming, Encryption, Algorithms, Image Analysis, Web Applications, Data Processing, Statistical Analysis, Data Import/Export, Predictive Modeling, Integrated Development Environments, Data Manipulation, Data Analysis, Web Servers, Cascading Style Sheets (CSS)
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Object-Relational Mapping, Spring Framework, Hibernate (Java), Apache Maven, Model View Controller, Relational Databases, Database Design, MySQL, Web Applications, Java Platform Enterprise Edition (J2EE), Java Programming, Java, Full-Stack Web Development, Database Application, Database Development, Authentications, Object Oriented Design, Back-End Web Development, Object Oriented Programming (OOP), Software Design Patterns
Beginner · Specialization · 1 - 3 Months
Multiple educators
Skills you'll gain: Unit Testing, Data Structures, Event-Driven Programming, Interactive Data Visualization, Java, Java Programming, User Interface (UI), Object Oriented Programming (OOP), Debugging, Object Oriented Design, Computer Programming, Cryptography, Software Engineering, Performance Tuning, Encryption, Algorithms, Programming Principles, Data Analysis, Software Design, Problem Solving
Beginner · Specialization · 3 - 6 Months

Board Infinity
Skills you'll gain: Angular, HTML and CSS, Data Structures, Spring Boot, Eclipse (Software), Restful API, Java Programming, JavaScript Frameworks, Object Oriented Programming (OOP), Model View Controller, Hypertext Markup Language (HTML), Java, Front-End Web Development, Spring Framework, Object Oriented Design, Web Services, Integrated Development Environments, Software Design Patterns, Cascading Style Sheets (CSS), Javascript
Intermediate · Specialization · 1 - 3 Months

Princeton University
Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Programming (OOP), Performance Tuning, Data Structures, Java Programming, Java, Computational Thinking, Computer Science, Algorithms, Animations, Simulations, Debugging
Beginner · Course · 1 - 3 Months

Princeton University
Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Computational Thinking, Java Programming, Computer Hardware
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Object-Relational Mapping, Hibernate (Java), Apache Maven, Model View Controller, Spring Framework, Relational Databases, Database Design, MySQL, Java, Java Programming, Full-Stack Web Development, Database Application, Database Development, Authentications, Web Applications, Back-End Web Development, Data Validation, Data Modeling
Mixed · Course · 1 - 4 Weeks
Data science is an interdisciplinary field that combines statistics, computer science, and domain expertise to extract meaningful insights from data. It plays a crucial role in decision-making across various industries, helping organizations to understand trends, predict outcomes, and optimize processes. In today's data-driven world, the ability to analyze and interpret data is essential for businesses to remain competitive and innovative.‎
A career in data science can lead to various roles, including data analyst, data engineer, machine learning engineer, and data scientist. These positions are in high demand across sectors such as finance, healthcare, technology, and marketing. Each role focuses on different aspects of data, from data collection and cleaning to advanced analytics and predictive modeling, offering diverse opportunities for professionals.‎
To pursue a career in data science, you should develop a strong foundation in several key skills. These include programming languages like Python and R, statistical analysis, data visualization, and machine learning. Familiarity with databases and tools such as SQL and Tableau is also beneficial. Additionally, soft skills like problem-solving, critical thinking, and effective communication are essential for translating data insights into actionable strategies.‎
There are numerous online courses available for learning data science. Some of the best options include the IBM Data Science Professional Certificate, which covers essential skills and tools, and the Applied Data Science Specialization, which focuses on practical applications. These courses provide a structured learning path and hands-on experience to help you build your data science expertise.‎
Yes. You can start learning data science on Coursera for free in two ways:
If you want to keep learning, earn a certificate in data science, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎
To learn data science effectively, start by identifying your learning goals and the specific skills you want to acquire. Begin with foundational courses that cover basic concepts and gradually progress to more advanced topics. Engage in hands-on projects to apply your knowledge, and consider joining online communities or study groups to enhance your learning experience. Consistent practice and real-world application are key to mastering data science.‎
Data science courses typically cover a range of topics, including data manipulation, statistical analysis, machine learning, data visualization, and big data technologies. You may also encounter specialized subjects such as natural language processing, data ethics, and data engineering. This comprehensive curriculum prepares you to tackle various challenges in the field and equips you with the skills needed to analyze complex datasets.‎
For training and upskilling employees in data science, programs like the CertNexus Certified Data Science Practitioner Professional Certificate and the Fractal Data Science Professional Certificate are excellent choices. These courses are designed to enhance practical skills and provide a solid foundation in data science, making them suitable for workforce development.‎