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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


  • Status: Preview
    Preview
    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Machine Learning Methods, Network Model, Electrophysiology, Applied Machine Learning, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Sensory Systems Analysis, Matlab, Mathematical Modeling, Computer Vision, Neurology, Mathematical Software, Recurrent Neural Networks (RNNs), Physiology, Biology, Differential Equations, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    MATLAB Programming for Engineers and Scientists

    Skills you'll gain: Prompt Engineering, Image Analysis, Data Visualization Software, File I/O, Matlab, Algorithms, Machine Learning Methods, User Interface (UI), Applied Machine Learning, Prompt Patterns, UI Components, Human Computer Interaction, ChatGPT, LLM Application, Large Language Modeling, Object Oriented Programming (OOP), Dimensionality Reduction, Computer Programming, Code Reusability, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    M

    MathWorks

    Data Science Companion

    Skills you'll gain: Datamaps, Data Science, Spatial Data Analysis, Data Processing, Data Preprocessing, Machine Learning, Geographic Information Systems, Data Visualization, Data Analysis, Data Integration, Amazon Web Services, Cloud Computing, Matlab, Model Training, Data Cleansing, Regression Analysis, Classification Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    Northwestern University

    Modern Robotics: Mechanics, Planning, and Control

    Skills you'll gain: Robotics, Machine Controls, Control Systems, Mathematical Modeling, Mathematical Software, Simulation and Simulation Software, Engineering, Mechanics, Mechanical Engineering, Torque (Physics), Applied Mathematics, Numerical Analysis, Process Control, Virtual Environment, Graph Theory, Matlab, Algorithms, Engineering Calculations, Simulations, Data Structures

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Mathematics for Engineers

    Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Analysis, Numerical Analysis, Integral Calculus, Mathematical Software, Calculus, Engineering Calculations, electromagnetics, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Advanced Mathematics, Geometry, Computational Thinking, Simulation and Simulation Software, Mechanics, Scripting

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    MathWorks Computer Vision Engineer

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Transfer Learning, Model Training, Fine-tuning, Deep Learning, Machine Learning Methods, Image Quality, Generative AI, Data Preprocessing, Artificial Neural Networks, Matlab, Applied Machine Learning, Machine Learning, Classification Algorithms, Software Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    366 reviews

    Beginner · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Data Science Project: MATLAB for the Real World

    Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Data Visualization, Data Presentation, Model Training, Exploratory Data Analysis, Machine Learning Methods, Applied Machine Learning, Model Optimization, Data Science, Machine Learning, Data Wrangling, Data Analysis, Data Preprocessing, Matlab, Data Processing, Technical Communication, Predictive Modeling, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Image Processing for Engineering and Science

    Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, File I/O, Automation, Digital Signal Processing, Anomaly Detection, Spatial Data Analysis, Geospatial Information and Technology, Engineering Practices, Medical Imaging, Spatial Analysis, Mathematical Software, Data Preprocessing, Quantitative Research, Algorithms, File Management, Data Store

    4.7
    Rating, 4.7 out of 5 stars
    ·
    254 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Power System: Generation, Transmission and Protection

    Skills you'll gain: Electrical Power, Electric Power Systems, Electrical Systems, Control Systems, Electrical Substation, Electrical Equipment, Energy and Utilities, Electrical Safety, Plant Operations and Management, Three-Phase, High Voltage, Machine Controls, Power Electronics, Automation Engineering, Basic Electrical Systems, Process Control, Mathematical Modeling, Matlab, Electrical Engineering, electromagnetics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    278 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Introduction to Programming with MATLAB

    Skills you'll gain: File I/O, Code Reusability, Matlab, Computer Programming, Programming Principles, Program Development, Debugging, Mathematical Software, Development Environment, Computer Science, User Interface (UI), File Management, C (Programming Language), Data Structures, Computational Logic, Engineering Calculations, Plot (Graphics), Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    MathWorks

    MATLAB Skills for the AI Era

    Skills you'll gain: Plot (Graphics), Scripting, User Interface (UI) Design, Matlab, No-Code Development, Data Manipulation, Data Visualization Software, Generative AI, Interactive Data Visualization, UI Components, Code Reusability, Mathematical Modeling, Data Visualization, Interactive Design, LLM Application, Scientific Visualization, Data Storytelling, Data Analysis, Engineering Calculations, Programming Principles

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Computer Vision for Engineering and Science

    Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Model Training, Deep Learning, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Transfer Learning, Anomaly Detection, Geospatial Information and Technology, Traffic Flow Optimization, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    97 reviews

    Intermediate · Specialization · 1 - 3 Months

1234…6

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

  • Computational Neuroscience: University of Washington
  • MATLAB Programming for Engineers and Scientists: Vanderbilt University
  • Data Science Companion: MathWorks
  • Modern Robotics: Mechanics, Planning, and Control: Northwestern University
  • Mathematics for Engineers: The Hong Kong University of Science and Technology
  • MathWorks Computer Vision Engineer: MathWorks
  • Data Science Project: MATLAB for the Real World: MathWorks
  • Image Processing for Engineering and Science: MathWorks
  • Power System: Generation, Transmission and Protection: L&T EduTech
  • Introduction to Programming with MATLAB: Vanderbilt University

Frequently Asked Questions about Data Science

Data science is an interdisciplinary field that combines statistics, computer science, and domain expertise to extract meaningful insights from data. It plays a crucial role in decision-making across various industries, helping organizations to understand trends, predict outcomes, and optimize processes. In today's data-driven world, the ability to analyze and interpret data is essential for businesses to remain competitive and innovative.‎

A career in data science can lead to various roles, including data analyst, data engineer, machine learning engineer, and data scientist. These positions are in high demand across sectors such as finance, healthcare, technology, and marketing. Each role focuses on different aspects of data, from data collection and cleaning to advanced analytics and predictive modeling, offering diverse opportunities for professionals.‎

To pursue a career in data science, you should develop a strong foundation in several key skills. These include programming languages like Python and R, statistical analysis, data visualization, and machine learning. Familiarity with databases and tools such as SQL and Tableau is also beneficial. Additionally, soft skills like problem-solving, critical thinking, and effective communication are essential for translating data insights into actionable strategies.‎

There are numerous online courses available for learning data science. Some of the best options include the IBM Data Science Professional Certificate, which covers essential skills and tools, and the Applied Data Science Specialization, which focuses on practical applications. These courses provide a structured learning path and hands-on experience to help you build your data science expertise.‎

Yes. You can start learning data science on Coursera for free in two ways:

  1. Preview the first module of many data science courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in data science, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn data science effectively, start by identifying your learning goals and the specific skills you want to acquire. Begin with foundational courses that cover basic concepts and gradually progress to more advanced topics. Engage in hands-on projects to apply your knowledge, and consider joining online communities or study groups to enhance your learning experience. Consistent practice and real-world application are key to mastering data science.‎

Data science courses typically cover a range of topics, including data manipulation, statistical analysis, machine learning, data visualization, and big data technologies. You may also encounter specialized subjects such as natural language processing, data ethics, and data engineering. This comprehensive curriculum prepares you to tackle various challenges in the field and equips you with the skills needed to analyze complex datasets.‎

For training and upskilling employees in data science, programs like the CertNexus Certified Data Science Practitioner Professional Certificate and the Fractal Data Science Professional Certificate are excellent choices. These courses are designed to enhance practical skills and provide a solid foundation in data science, making them suitable for workforce development.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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