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, ChatGPT, No-Code Development, OpenAI, LLM Application, Generative AI, Microsoft Power Platform, Email Automation, Application Development, Microsoft Power Automate/Flow, Serverless Computing, Microsoft Azure, Microsoft Outlook, Email Marketing
Intermediate · Course · 3 - 6 Months

National Taiwan University
Skills you'll gain: Regression Analysis, Statistical Modeling, Statistical Methods, Data Visualization, R Programming, Statistical Analysis, Case Studies, Business Analytics, Advanced Analytics, Analytics, Data Analysis, Statistical Hypothesis Testing, Variance Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Dimensionality Reduction, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Unstructured Data, Python Programming, Algorithms
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Deep Learning, Tensorflow, Data Preprocessing, Model Evaluation, Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Analysis, Machine Learning Algorithms, Machine Learning, Algorithms
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Account Management, AI Personalization, Customer Engagement, Customer Communications Management, Generative AI, Customer Insights, Prompt Engineering, Communication, Predictive Analytics, Scalability, Customer Relationship Management (CRM) Software, Email Automation, Responsible AI, Business Process Automation, Analytics, Automation
Intermediate · Course · 1 - 4 Weeks

University of Washington
Skills you'll gain: Model Evaluation, Regression Analysis, Supervised Learning, Machine Learning, Predictive Modeling, Applied Machine Learning, Feature Engineering, Data Preprocessing, Statistical Methods, Python Programming, Linear Algebra, Algorithms
Mixed · Course · 1 - 3 Months

Skills you'll gain: SAS (Software), Statistical Modeling, Statistical Programming, Regression Analysis, Statistical Analysis, Model Evaluation, Statistical Methods, Probability Distribution, Data Manipulation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Vision Transformer (ViT), Model Deployment, Transfer Learning, Hugging Face, MLOps (Machine Learning Operations), Cloud Deployment, Large Language Modeling, Computer Vision, Image Analysis, Natural Language Processing, Application Deployment
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Predictive Modeling, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Preprocessing
Mixed · Course · 1 - 4 Weeks

Universidades Anáhuac
Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Computer Vision, Model Evaluation, Python Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
Mixed · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
Intermediate · Course · 1 - 3 Months