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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


  • L

    Logical Operations

    Power BI: Data Cleaning, Transformation, and Visualization

    Skills you'll gain: Power BI, Data Transformation, Data Manipulation, Data Wrangling, Data Visualization Software, Data Cleansing, Data Visualization, Data Storytelling, Microsoft Power Platform, Interactive Data Visualization, Data Presentation, Business Intelligence, Data Analysis, Data Analysis Software, Microsoft Excel, Data Quality, Query Languages, Microsoft PowerPoint, Microsoft 365

    Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • C

    Coursera

    GenAI for Compensation: Smarter Pay Equity Analysis

    Skills you'll gain: Responsible AI, Google Gemini, HR Tech, Compensation and Benefits, Anthropic Claude, Human Resources, Human Resource Strategy, Forecasting, Governance, Mitigation

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • V

    Vanderbilt University

    The History and Relevance of the Rise of Generative AI

    Skills you'll gain: Generative AI, Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI literacy, Machine Learning Algorithms, Scalability

    4.9 stars, 11 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.9 (11) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • E

    Edureka

    Python and Statistics Foundations

    Skills you'll gain: Plot (Graphics), Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Statistical Methods, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability, Python Programming

    Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • V

    Vanderbilt University

    Generative AI and Model Selection

    Skills you'll gain: Generative Model Architectures, Generative AI, Model Deployment, Model Evaluation, Prompt Engineering, Model Optimization, Cloud Deployment, LLM Application, Retrieval-Augmented Generation, Large Language Modeling

    4.8 stars, 8 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.8 (8) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • E

    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    5 stars, 12 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 5 (12) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • S

    Simplilearn

    Introduction Course to Autoencoders, VAEs, and GANs

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Generative Model Architectures, Deep Learning, Tensorflow, Unsupervised Learning, Model Training, Dimensionality Reduction

    Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • N

    Northeastern University

    Engineering Probability and Statistics Part 1

    Skills you'll gain: Probability & Statistics, Statistics, Probability Distribution, Probability, Data Literacy, Statistical Methods, Statistical Modeling, Data Analysis, Bayesian Statistics, Statistical Analysis, Exploratory Data Analysis, Combinatorics, Descriptive Statistics, Correlation Analysis, Mathematical Modeling, Applied Mathematics

    Mixed · Course · 1 - 3 Months

    Category: Preview
    Preview
  • D

    Duke University

    Data Modeling and Prediction with R

    Skills you'll gain: Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Model Evaluation, Predictive Modeling, Regression Analysis, R Programming, Statistical Methods, Statistics, Predictive Analytics, Data Modeling, Probability & Statistics, Statistical Hypothesis Testing, Statistical Inference, Model Training, R (Software), Statistical Programming, Correlation Analysis

    4.7 stars, 6 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.7 (6) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • N

    Northeastern University

    Data Visualization with Python & R for Engineers

    Skills you'll gain: Data Storytelling, Data Visualization, Statistical Visualization, Data-Driven Decision-Making, Data Visualization Software, Plot (Graphics), Data Preprocessing, Data Mining, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Unstructured Data, Graphing, Big Data, Programming Principles, Python Programming, NumPy, Scripting

    Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • E

    EDUCBA

    SPSS: Apply & Interpret Logistic Regression Models

    5 stars, 13 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 5 (13) · Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • N

    Northeastern University

    Practical AI for Professionals

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, AI Enablement, Artificial Intelligence, AI literacy, Data Literacy, Responsible AI, Data Analysis, Descriptive Statistics, Technology Strategies, Business Strategy, Machine Learning, AI Integrations, Unstructured Data, Predictive Modeling

    3.2 stars, 6 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 3.2 (6) · Beginner · Course · 1 - 4 Weeks

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

  • Power BI: Data Cleaning, Transformation, and Visualization: Logical Operations
  • GenAI for Compensation: Smarter Pay Equity Analysis: Coursera
  • The History and Relevance of the Rise of Generative AI: Vanderbilt University
  • Python and Statistics Foundations: Edureka
  • Generative AI and Model Selection: Vanderbilt University
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
  • Engineering Probability and Statistics Part 1: Northeastern University
  • Data Modeling and Prediction with R: Duke University
  • Data Visualization with Python & R for Engineers: Northeastern University

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