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
Compétences que vous acquerrez: Data Quality, Data Validation, Auditing, Reconciliation, Quality Assurance, Quality Assessment, Data Analysis, Data Integrity, Data Capture, Descriptive Statistics, Exploratory Data Analysis, Descriptive Analytics, Data Entry, Data Collection, Verification And Validation
Google Cloud
Compétences que vous acquerrez: Looker (Software), Data Modeling, Data Visualization, Dashboard, Analysis, Data Analysis, Ad Hoc Analysis, Data Maintenance, SQL, Database Development, Database Design, Data Store, Query Languages, Business Intelligence, Usability Testing, Data Transformation, Data Management, Data Access, Google Cloud Platform, Data Validation
Compétences que vous acquerrez: Dashboard Creation, Dashboard, Data Storytelling, Tableau Software, Data Modeling, Data Visualization, Data Presentation, Statistical Visualization, Interactive Data Visualization, Business Reporting, Business Intelligence, Data Visualization Software, Plot (Graphics), Key Performance Indicators (KPIs), Business Metrics, Analytics, Data Analysis, Business Analytics, Analysis, Data Validation
Compétences que vous acquerrez: SQL, Data Warehousing, Ad Hoc Analysis, Business Intelligence, Databases, Data Maintenance, Database Management, Data Analysis, Relational Databases, Ad Hoc Reporting, Business Analytics, Star Schema, Query Languages, Operational Databases, Data Quality, Data Access, Data Manipulation, Business Logic, Business Metrics
Compétences que vous acquerrez: Databricks, PySpark, Apache Spark, Data Lakes, Data Pipelines, Data Processing, Data Warehousing, Distributed Computing, Data Architecture, JSON, Data Import/Export, Applied Machine Learning, Data Management, Data Entry, Database Architecture and Administration, Data Collection, SQL, Python Programming, Machine Learning, Artificial Intelligence
Compétences que vous acquerrez: Exploratory Data Analysis, Correlation Analysis, Business Metrics, Scatter Plots, Key Performance Indicators (KPIs), Data Analysis, Performance Metric, Performance Analysis, Analytical Skills, Trend Analysis, Statistical Analysis, Business Analysis, Plot (Graphics), Regression Analysis, Quantitative Research, Probability & Statistics, Statistical Methods, Data Visualization, Data Presentation, Statistical Inference
Compétences que vous acquerrez: Data Engineering, Snowflake Schema, Data Pipelines, Retrieval-Augmented Generation, Generative AI, Model Deployment, Data Architecture, Responsible AI, Embeddings, Data Transformation, Data Processing, Data Governance, Data Management, Data Quality, Business Logic, SQL, Data Collection, Data Entry, Data Security, Python Programming
Coursera
Compétences que vous acquerrez: Data Cleansing, Data Quality, Data Validation, Marketing Analytics, Reconciliation, Variance Analysis, Data Manipulation, Google Analytics, Data Wrangling, Data Transformation, Marketing Channel, Data Integrity, Web Analytics, Data Preprocessing, Campaign Management, Cross-Channel Marketing, Analysis, Market Analysis, Spreadsheet Software, SQL
University of Alberta
Compétences que vous acquerrez: Conception orientée objet, Conception de diagrammes, Java, Maintenabilité, Documents de conception de logiciels, Design conceptuel, Éléments et principes de conception, Conception de logiciels, Conception de l'application, Programmation Java, Réutilisation du code, Programmation orientée objet (POO), Langage de modélisation unifié
John Wiley & Sons
Compétences que vous acquerrez: Data Storytelling, Power BI, Matplotlib, Tableau Software, Plot (Graphics), Data Presentation, Relational Databases, Database Design, Data Cleansing, Data Visualization Software, SQL, Database Theory, Business Intelligence, R (Software), Data Wrangling, Statistical Programming, R Programming, Data Visualization, Data Analysis, Python Programming
Compétences que vous acquerrez: Data Quality, Data Cleansing, Data Pipelines, Data Processing, Data Integrity, Data Integration, Data Validation, Data Transformation, Extract, Transform, Load, Data Preprocessing, Data Mapping, Problem Management, Exploratory Data Analysis, Analysis, Data Import/Export, Continuous Monitoring, Systems Analysis, Debugging, Dependency Analysis, Risk Modeling
Compétences que vous acquerrez: Network Security, Computer Hardware, Generative AI, Data Storage Technologies, Data Storage, Operating Systems, Microsoft 365, Hybrid Cloud Computing, Generative Model Architectures, Authorization (Computing), Data Security, Computer Science, OSI Models, Data Store, TCP/IP, Data Integrity, Cloud Computing, Data Processing, Network Protocols, Software Development
En résumé, voici 10 de nos cours les plus populaires sur data science .
- Data Quality Auditing and Profiling: Coursera
- LookML: Data Modeling and Dashboard Delivery: Google Cloud
- Advanced Data Visualization and Reporting: Coursera
- SQL for Data Extraction and Analysis: Coursera
- Data Engineering and Spark Foundations for AI and ML: Edureka
- Advanced Exploratory Data Analysis: Coursera
- AI-Powered Data Engineering with Snowflake: Edureka
- Apply Data Cleaning Basics: Coursera
- Conception orientée objet: University of Alberta
- Data Analytics & Visualization All-in-One For Dummies: John Wiley & Sons
