Cours en Science des données
Les cours en science des données 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.
Cours et certificats populaires en Science des données
Korea Advanced Institute of Science and Technology(KAIST)
Compétences que vous acquerrez: Differential Equations, Applied Mathematics, Advanced Mathematics, Linear Algebra, Calculus, Mathematical Modeling, Mathematical Theory & Analysis
University of Michigan
Compétences que vous acquerrez: SQL, Database Management, Relational Databases, Databases, Database Design, Query Languages, Data Visualization, Web Scraping, Interactive Data Visualization, Data Processing, Object Oriented Programming (OOP), Object Oriented Design, Data Modeling, Geospatial Mapping, Data Storage, Python Programming, Data Collection
National Taiwan University
Compétences que vous acquerrez: Global Positioning Systems, Telecommunications, Wireless Networks, Radiation Protection, Communication Systems, electromagnetics, Digital Communications, Electronic Systems, Geospatial Information and Technology, Electrical Power, Experimentation
Johns Hopkins University
Compétences que vous acquerrez: Surveys, Survey Creation, Sampling (Statistics), Program Evaluation, Data Management, Data Collection, Data Analysis, Data Cleansing, Quantitative Research, Data Quality, Research Design, Sample Size Determination, Interviewing Skills, Data Presentation, Data Mapping, Data Ethics
University of Colorado Boulder
Compétences que vous acquerrez: Computational Logic, Systems Design, Verification And Validation, Computer Engineering, Communication Systems, Systems Analysis, Software Systems, Process Modeling, Functional Testing, Theoretical Computer Science, Computational Thinking, Functional Specification, Software Architecture, Model Optimization, Software Design, Graph Theory, Software Testing, Software Quality Assurance, Computer Architecture, Logical Reasoning
Coursera
Compétences que vous acquerrez: No-Code Development, Information Architecture, User Experience Design, Application Design, User Interface (UI), User Centered Design, Mobile Development, Database Development, Web Applications, Data Management, Data Architecture, Experience Design, UI/UX Research, Information Privacy, Mobile Development Tools, User Feedback, Functional Testing, Data Structures, Integration Testing, Root Cause Analysis
Google Cloud
Compétences que vous acquerrez: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, Data Transformation, Applied Machine Learning, Keras (Neural Network Library), Data Store, Machine Learning, Statistical Methods
Johns Hopkins University
Compétences que vous acquerrez: Network Analysis, Statistical Modeling, Applied Machine Learning, Bayesian Network, R (Software), R Programming, Social Network Analysis, Statistical Methods, Simulations, Network Model, Statistical Analysis, Probability & Statistics, Statistical Programming, Probability Distribution, Sampling (Statistics), Data Visualization, Machine Learning, Statistical Hypothesis Testing
Scrimba
Compétences que vous acquerrez: Hypertext Markup Language (HTML), Software Documentation, Technical Documentation, Web Development, Technical Writing
AI CERTs
Compétences que vous acquerrez: Decision Intelligence, Applied Machine Learning
Compétences que vous acquerrez: Apprentissage automatique, Exploration de texte, Traitement des données, Transformation de données, Données non structurées, Programmation Python, Ingénierie des fonctionnalités, Prétraitement de données, Programmation en Python, Transformation des données, Intégration des données, Conception des systèmes, Gestion des métadonnées, Personnalisation de l'IA, Prétraitement des données
AI CERTs
Compétences que vous acquerrez: Regulatory Compliance, Agentic Workflows
En résumé, voici 10 de nos cours les plus populaires sur data science .
- Differential Equations Part III Systems of Equations : Korea Advanced Institute of Science and Technology(KAIST)
- Uso de bancos de dados com Python: University of Michigan
- 生活中的電波: National Taiwan University
- Household Surveys for Program Evaluation in LMICs: Johns Hopkins University
- Fundamentals of Model Checking: University of Colorado Boulder
- Build Dynamic No-Code Apps: Coursera
- Feature Engineering em Português Brasileiro: Google Cloud
- Computational and Graphical Models in Probability: Johns Hopkins University
- Learn Markdown: Scrimba
- AI for Mining: AI CERTs
