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.

Whizlabs
Skills you'll gain: Supervised Learning, Unsupervised Learning, MLOps (Machine Learning Operations), Model Optimization, Applied Machine Learning, Machine Learning Methods, Model Evaluation, Model Training, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Machine Learning Algorithms, Model Deployment, Microsoft Azure, Amazon Web Services, Cloud Solutions, Deep Learning, Data Processing
Intermediate · Course · 1 - 3 Months

KodeKloud
Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Management, Model Training, Data Security, Amazon Web Services, Application Deployment, General Data Protection Regulation (GDPR), Model Optimization, Information Privacy
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PL/SQL, Oracle Databases, Stored Procedure, SQL, Database Development, Performance Tuning, Database Application, Database Management, Business Logic, Data Access, Code Reusability, Maintainability, Debugging
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Fine-tuning, Transfer Learning, Large Language Modeling, Natural Language Processing, Generative AI, Deep Learning, Artificial Neural Networks, Generative Model Architectures, Model Training, Computer Vision
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Apache Airflow, Dataflow, Extract, Transform, Load, Data Pipelines, Apache Kafka, Real Time Data, AWS Kinesis, Data Validation, Data Warehousing, System Monitoring, Event Monitoring, Data Infrastructure, Data Collection, Data Integrity, Snowflake Schema, Continuous Monitoring, Automation, Data Quality, Data Processing
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Apache Kafka, Real Time Data, Apache Spark, Dashboard, Dashboard Creation, PySpark, Data Pipelines, Business Intelligence, Data Lakes, Data Persistence, JSON, Continuous Monitoring, Business Metrics
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Apache Kafka, Real Time Data, Apache Spark, Data Pipelines, PySpark, Scalability, Live Streaming, Data-Driven Decision-Making, Data Lakes, Data Integration, Fraud detection, Data Processing, Event Monitoring, Data Transformation, JSON, Event Management
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Plot (Graphics), Statistical Methods, Statistical Modeling, Descriptive Statistics
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Amazon Bedrock, Cloud Computing Architecture, AI Workflows, Generative AI, Cloud Engineering, Amazon Web Services, Cloud Development, Cloud Computing, AI Orchestration, Applied Machine Learning, Cloud Deployment, AI literacy, Cloud Security, AWS Identity and Access Management (IAM), Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: SQL, SAS (Software), Metadata Management, Data Integrity, Data Maintenance, Query Languages, Relational Databases, Data Manipulation, Data Analysis Software, Database Management, Data Transformation, Data-Driven Decision-Making, Performance Tuning, Data Governance, Debugging, Data Wrangling, Data Analysis, Data Processing, Computational Logic, Data Management
Beginner · Specialization · 3 - 6 Months

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization
Intermediate · Course · 1 - 3 Months