Cours en Data Science
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.
Cours et certificats populaires en Data Science
Skills you'll gain: Responsible AI, Model Deployment, Convolutional Neural Networks, Classification Algorithms, Data Analysis, Image Analysis, Model Evaluation, Transfer Learning, Data Ethics, Machine Learning, Tensorflow, Data Processing, Data Pipelines, Data Transformation, Data Preprocessing, Machine Learning Software, Distributed Computing, Information Privacy, Supervised Learning, Virtual Machines
Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Image Analysis, Data Preprocessing, Model Deployment, Computer Vision
Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming
Google Cloud
Skills you'll gain: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Machine Learning Methods, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data
Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning
What brings you to Coursera today?
Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning, Classification Algorithms
Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Classification Algorithms, Supervised Learning, Applied Machine Learning, Python Programming, Feature Engineering, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Data Manipulation, Data Visualization
Skills you'll gain: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Python Programming, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Feature Engineering
Skills you'll gain: Model Evaluation, Transfer Learning, PyTorch (Machine Learning Library), Model Deployment, Data Preprocessing, Technical Communication, MLOps (Machine Learning Operations), Image Analysis, Computer Vision, AI Workflows, Convolutional Neural Networks, Tensorflow, Dataflow, Performance Tuning, Performance Metric, Data Analysis, Deep Learning, Exploratory Data Analysis, Engineering Software, Process Optimization
Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Systems Architecture, Model Evaluation, Model Deployment, Extract, Transform, Load, Systems Design, Data Pipelines, Vision Transformer (ViT), System Design and Implementation, Software Documentation, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Apache Spark, Natural Language Processing, Pandas (Python Package), Cloud Deployment, Machine Learning, Computer Vision, Computational Thinking
Coursera
Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Test Driven Development (TDD), Software Testing, Scalability, Dashboard, Feature Engineering, Continuous Integration, Kubernetes, Scikit Learn (Machine Learning Library), CI/CD, Performance Tuning, Tensorflow, Python Programming, Software Engineering, PyTorch (Machine Learning Library), Docker (Software), Containerization, Git (Version Control System)
In summary, here are 10 of our most popular data science courses
- Microsoft Azure Data Scientist Associate (DP-100) Exam Prep:Â Microsoft
- IBM Deep Learning with PyTorch, Keras and Tensorflow:Â IBM
- IBM AI Enterprise Workflow:Â IBM
- Advanced Machine Learning on Google Cloud:Â Google Cloud
- DevOps, DataOps, MLOps:Â Duke University
- Tweet Emotion Recognition with TensorFlow:Â Coursera
- Basic Image Classification with TensorFlow:Â Coursera
- Support Vector Machines in Python, From Start to Finish:Â Coursera
- AI Engineer Associate:Â Packt
- Eyes on AI - Computer Vision Engineering:Â Coursera
