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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


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  • I

    IBM

    Introduction to Data Science

    Skills you'll gain: SQL, Data Cleansing, Jupyter, Data Literacy, Data Mining, Data Manipulation, Data Preprocessing, R (Software), Business Analysis, Model Deployment, Model Evaluation, Database Management, Relational Databases, Stored Procedure, R Programming, Data Science, Big Data, Computer Programming Tools, Cloud Computing, Python Programming

    4.6 stars, 102K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.6 (102K) · Beginner · Specialization · 3 - 6 Months

    Category: Job skills
    Job skills
    Status: Free trial
    Free trial
  • I
    U
    I

    Multiple educators

    Data Science Foundations

    Skills you'll gain: Dashboard Creation, Dashboard, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, R (Software), Correlation Analysis, Pandas (Python Package), NumPy, Data Import/Export, Predictive Modeling, Python Programming, Machine Learning Algorithms, Data Science, Machine Learning, Project Management

    4.6 stars, 118K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.6 (118K) · Beginner · Specialization · 3 - 6 Months

    Category: Bestseller
    Bestseller
    Status: Free trial
    Free trial
  • U

    University of Michigan

    Applied Data Science with Python

    Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Applied Machine Learning, Supervised Learning, Text Mining, Statistical Visualization, Network Model, Data Manipulation, NumPy, Data Preprocessing, Natural Language Processing, Python Programming

    4.5 stars, 34K reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.5 (34K) · Intermediate · Specialization · 3 - 6 Months

    Status: Trending right now
    Trending right now
    Status: Free trial
    Free trial
  • J

    Johns Hopkins University

    Data Science

    Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, R (Software), Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Machine Learning, GitHub

    4.5 stars, 51K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.5 (51K) · Beginner · Specialization · 3 - 6 Months

    Category: Bestseller
    Bestseller
    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, Statistics, A/B Testing, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Data Manipulation, Machine Learning

    4.6 stars, 3.2K reviews, Intermediate, Specialization, 1 - 3 Months

    ★ 4.6 (3.2K) · Intermediate · Specialization · 1 - 3 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial

What brings you to Coursera today?

  • I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Machine Learning Methods, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation

    4.6 stars, 15K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.6 (15K) · Beginner · Specialization · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
  • U

    University of Michigan

    More Applied Data Science with Python

    Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, LLM Application, Applied Machine Learning, Data Quality, Unstructured Data, Anomaly Detection, Machine Learning Methods, Data Science, Machine Learning, Data Preprocessing, Data Transformation, Data Analysis, Social Media Analytics, Data Manipulation, Python Programming, Exploratory Data Analysis

    4.5 stars, 24 reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.5 (24) · Advanced · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • I

    IBM

    Data Science Fundamentals with Python and SQL

    Skills you'll gain: Dashboard Creation, Dashboard, Web Scraping, SQL, Descriptive Statistics, Data Visualization, Statistical Analysis, Jupyter, Data Presentation, Data Analysis, Probability Distribution, R (Software), Statistics, Data Science, Database Management, Relational Databases, R Programming, Data Import/Export, Python Programming, NumPy

    4.6 stars, 75K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.6 (75K) · Beginner · Specialization · 3 - 6 Months

    Category: Bestseller
    Bestseller
    Status: Free trial
    Free trial
  • I

    IBM

    Applied Data Science

    Skills you'll gain: Data Storytelling, Dashboard Creation, Dashboard, Data Presentation, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Data Wrangling, Plot (Graphics), Exploratory Data Analysis, Model Evaluation, Data Analysis, Data Import/Export, Python Programming, Data Science, NumPy, Data Compilation, Data Collection, Machine Learning

    4.6 stars, 62K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.6 (62K) · Beginner · Specialization · 3 - 6 Months

    Category: Job ready
    Job ready
    Status: Free trial
    Free trial
  • J

    Johns Hopkins University

    Data Science: Statistics and Machine Learning

    Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub

    4.4 stars, 7.2K reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.4 (7.2K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • P

    Packt

    The Complete Python and Data Science Bootcamp

    Skills you'll gain: Plotly, PyTorch (Machine Learning Library), NumPy, Matplotlib, Object Oriented Programming (OOP), Pandas (Python Package), Plot (Graphics), Data Structures, Unit Testing, Python Programming, File I/O, Data Visualization Software, Algorithms, Interactive Data Visualization, Machine Learning Methods, Test Case, Computational Thinking, Programming Principles, Computer Programming, Code Reusability

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • J

    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Analysis, Data Science, Statistics, Mathematical Modeling, Data Modeling, Applied Mathematics

    4.4 stars, 800 reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.4 (800) · Advanced · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial

What brings you to Coursera today?

1234…197

Best Data Science courses from IBM

Top-rated Data Science courses offered by IBM on Coursera.

  1. 1
    Introduction to Data Science
    IBMBeginner3 - 6 Months4.6(102,370)IBM
  2. 2
    Data Science Foundations
    IBMBeginner3 - 6 Months4.6(117,982)IBM
  3. 3
    Data Science Fundamentals with Python and SQL
    IBMBeginner3 - 6 Months4.6(75,468)IBM

Best Data Science certificate programs

Earn a certificate in Data Science from top universities and companies.

  1. 1
    Applied Data Science with Python
    University of MichiganIntermediate3 - 6 Months4.5(34,392)Specialization
  2. 2
    Data Science
    Johns Hopkins UniversityBeginner3 - 6 Months4.5(50,988)Specialization
  3. 3
    Mathematics for Machine Learning and Data Science
    DeepLearning.AIIntermediate1 - 3 Months4.6(3,247)Specialization

Best Data Science courses for beginners

Top-rated beginner-friendly Data Science courses with no prerequisites.

  1. 1
    Mathematics for Machine Learning
    Imperial College LondonBeginner3 - 6 Months4.6(15,096)No prerequisites
  2. 2
    Applied Data Science
    IBMBeginner3 - 6 Months4.6(61,996)No prerequisites

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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