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.

Chegg Skills
Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Prompt Patterns, AI literacy, Multimodal Prompts, AI Workflows, Anthropic Claude, Data Visualization, Generative AI, Data Analysis, Productivity, Communication, Business Communication, Artificial Intelligence, Business Process Automation, Content Creation, Research, Critical Thinking, Problem Solving, Decision Making
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Responsible AI, Data Ethics, Model Training, Model Evaluation
★ 4.7 (2K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Apache Airflow, Databricks, MLOps (Machine Learning Operations), Data Pipelines, AI Orchestration, Data Lakes, Model Training, Apache Spark, Data Store, AI Workflows, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Transformation, Machine Learning, Data Collection, SQL, Data Storage, Machine Learning Algorithms, Warehouse Management
Advanced · Course · 1 - 4 Weeks
Skills you'll gain: Model Training, Prompt Engineering, Hugging Face, Large Language Modeling, Token Optimization, Feature Engineering, Supervised Learning, Generative AI, Data Cleansing, Deep Learning, Applied Machine Learning, Data Processing, Natural Language Processing, Artificial Intelligence, Machine Learning, Data Quality, Python Programming
Intermediate · Course · 1 - 4 Weeks
Stanford Online
Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization, Sampling (Statistics)
★ 4.6 (1.6K) · Advanced · Specialization · 3 - 6 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Model Optimization, Applied Machine Learning, Model Evaluation, Convolutional Neural Networks, Machine Learning Methods, Image Analysis, Scikit Learn (Machine Learning Library), Computer Vision, Machine Learning, Sampling (Statistics), Continuous Monitoring, Data Collection, Python Programming, Big Data, Data Quality
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Database Design, Relational Databases, Databases, SQL, Big Data, Database Systems, Database Management Systems, NoSQL, Operational Databases, Data Warehousing, Data Management, Query Languages, Virtual Machines, Data Storage, Data Analysis, Unstructured Data
★ 4.7 (1.1K) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Apache Spark, Retrieval-Augmented Generation, OpenAI API, Generative AI, LLM Application, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Fine-tuning, Transfer Learning, Deep Learning, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Machine Learning
★ 5 (6) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Anomaly Detection, PyTorch (Machine Learning Library), Forecasting, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Predictive Modeling, Deep Learning, Autoencoders, Predictive Analytics, Unsupervised Learning, Applied Machine Learning, Model Training, Generative Model Architectures, Convolutional Neural Networks, Exploratory Data Analysis, Model Optimization, Artificial Neural Networks, Data Preprocessing, Model Evaluation, Data Architecture
Intermediate · Course · 1 - 3 Months

University of Pittsburgh
Skills you'll gain: Statistical Analysis, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Applied Mathematics, Derivatives, Probability, Mathematical Modeling, Machine Learning, Algorithms
★ 3.2 (6) · Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Probability Distribution, Exploratory Data Analysis, Probability, Descriptive Statistics, Data Literacy, Statistical Modeling, Statistics, Probability & Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Statistical Inference, Descriptive Analytics, Data Analysis, Diagnostic Tests, Histogram, Box Plots, Bayesian Statistics, Combinatorics, Risk Modeling
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Responsible AI, Amazon Bedrock, Retrieval-Augmented Generation, Multimodal Prompts, Generative AI, AWS SageMaker, Generative AI Agents, LLM Application, Vector Databases, Amazon Web Services, Large Language Modeling, Agentic Workflows, Human Centered Design, Agentic systems, Embeddings, Data Ethics, Data Governance, Natural Language Processing, Benchmarking
Advanced · Course · 1 - 4 Weeks