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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


  • P

    Packt

    Foundations of Data Structures & Algorithms in Python

    Skills you'll gain: Data Structures, Algorithms, Python Programming, Computer Programming, Computational Thinking, Data Processing, Data Analysis Expressions (DAX), Data Analysis

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Optimizing Data Models and Performance in Microsoft Fabric

    Skills you'll gain: Data Analysis Expressions (DAX), Azure DevOps, Azure DevOps Pipelines, Power BI, Model Optimization, Data Lakes, Data Architecture, Data Modeling, Performance Tuning, Development Environment, Data Warehousing, Security Controls, Data Store, Data Storage Technologies, Process Optimization, Data Security, Application Deployment, Git (Version Control System), Data Analysis, Python Programming

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Create Customer Support Data with Google Sheets

    Skills you'll gain: Excel Formulas, Google Sheets, Service Level, Spreadsheet Software, Customer Data Management, Customer Support, Google Workspace, Productivity Software, Data Entry, Customer Service, Data Validation, Customer Analysis, Data Analysis, Data Integration, Organizational Skills, Data Management

    ★ 4.6 (414) · Beginner · Guided Project · Less Than 2 Hours

  • G

    Google

    Using Python to Interact with the Operating System

    Skills you'll gain: Bash (Scripting Language), Test Automation, Unit Testing, Development Testing, Test Script Development, Scripting, Unix Shell, Software Testing, Shell Script, File I/O, Linux Commands, Test Driven Development (TDD), Unix Commands, Scripting Languages, Development Environment, Operating Systems, Linux, Command-Line Interface, File Management, OS Process Management

    ★ 4.7 (6.6K) · Beginner · Course · 1 - 3 Months

  • S

    SAS

    Analytics Applications Across the Data & AI Lifecycle

    Skills you'll gain: Predictive Modeling, SAS (Software), Predictive Analytics, Decision Intelligence, Responsible AI, Analytics, Data Analysis, Business Analytics, Data-Driven Decision-Making, Team Oriented, Exploratory Data Analysis, Data Management, Data Visualization Software, Dataflow, Metadata Management, Microsoft Excel

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Excel for Data Analysis

    Skills you'll gain: Data-Driven Decision-Making, Microsoft Excel, Data Storytelling, Data Visualization, Excel Formulas, Data Analysis, Statistical Reporting, Data Presentation, Customer Analysis, Spreadsheet Software, Case Studies, Descriptive Analytics, Research Reports, Statistical Analysis, Performance Analysis, Descriptive Statistics, Google Sheets

    Beginner · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Unsupervised Learning, Statistical Methods, Descriptive Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Applied Mathematics, Calculus

    ★ 4 (3.2K) · Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning Operations (MLOps) on Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Deployment, AI Orchestration, AI Workflows, Generative AI, Google Cloud Platform, Data Modeling, Continuous Monitoring, Data Pipelines, Model Training, Feature Engineering, Model Optimization, DevOps, Agentic Workflows, Generative AI Agents, Data Store, Continuous Deployment, Data Preprocessing, Forecasting

    ★ 4 (500) · Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Intermediate Data Structures & Algorithmic Patterns

    Skills you'll gain: Data Structures, Algorithms, Python Programming, Computer Programming, Geometry, Data Manipulation, Data Management, Data Analysis, Applied Mathematics

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Processing and Analyzing Big Data in AWS

    Skills you'll gain: Amazon Redshift, AWS SageMaker, AWS Kinesis, Data Pipelines, Apache Spark, Amazon Web Services, Big Data, Apache Hive, Kibana, Data Warehousing, Data Processing, Model Deployment, Data Migration, Extract, Transform, Load, Real Time Data, Ad Hoc Analysis, Data Transformation, Cloud Computing, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Model Thinking

    Skills you'll gain: Mathematical Modeling, Systems Thinking, Strategic Decision-Making, Innovation, Diversity Awareness, Social Sciences, Predictive Modeling, Strategic Thinking, Decision Making, Complex Problem Solving, Critical Thinking, Network Analysis, Economics, Economic Development, Probability, Market Dynamics, Coordination

    ★ 4.8 (2.3K) · Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Harness Earth Engine

    Skills you'll gain: Environmental Monitoring, Geospatial Information and Technology, Scientific Visualization, Geospatial Mapping, Data Visualization, Spatial Data Analysis, Geographic Information Systems, Data Presentation, Process Development, Environmental Science, Image Analysis, Environment, Data Manipulation, Time Series Analysis and Forecasting, Technical Communication, Data Analysis, Data Transformation

    Beginner · Course · 1 - 4 Weeks

1…626364…834

In summary, here are 10 of our most popular data science courses

  • Foundations of Data Structures & Algorithms in Python: Packt
  • Optimizing Data Models and Performance in Microsoft Fabric: Packt
  • Create Customer Support Data with Google Sheets: Coursera
  • Using Python to Interact with the Operating System: Google
  • Analytics Applications Across the Data & AI Lifecycle: SAS
  • Excel for Data Analysis: Coursera
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Machine Learning Operations (MLOps) on Google Cloud: Google Cloud
  • Intermediate Data Structures & Algorithmic Patterns: Packt
  • Processing and Analyzing Big Data in AWS: Packt

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