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  2. Data Science

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


  • J

    Johns Hopkins University

    Data Science

    Beginner · Specialization

    Status: Bestseller
    Bestseller
  • I

    IBM

    Introduction to Data Science

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

    Status: Top AI program
    Top AI program
  • 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: Bestseller
    Bestseller
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  • 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, Data Visualization, Correlation Analysis, Pandas (Python Package), NumPy, R Programming, 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

  • 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, Statistics, A/B Testing, Statistical Analysis, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Exploratory Data Analysis, Machine Learning, Python Programming, Artificial Neural Networks

    4.6 stars, 3.3K reviews, Intermediate, Specialization, 1 - 3 Months

    ★ 4.6 (3.3K) · Intermediate · Specialization · 1 - 3 Months

    Status: Bestseller
    Bestseller
  • What brings you to Coursera today?

  • 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, Interactive Data Visualization, Data Cleansing, Data Preprocessing, Data Analysis, Python Programming, Data Science, NumPy, Machine Learning

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

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

    Category: Build toward a degree
    Build toward a degree
  • J

    Johns Hopkins University

    Genomic Data Science

    Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Molecular Biology, Command-Line Interface, Statistical Hypothesis Testing, Data Analysis Software, Data Quality, Statistical Modeling, Data Structures, Code Reusability, Big Data, R Programming, Python Programming

    4.5 stars, 6.9K reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.5 (6.9K) · Intermediate · Specialization · 3 - 6 Months

    Status: Bestseller
    Bestseller
  • 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, Probability Distribution, Statistics, Statistical Methods, Data Science, Database Management, Relational Databases, R Programming, Data Analysis Software, Python Programming, NumPy, Data Analysis

    4.6 stars, 76K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.6 (76K) · Beginner · Specialization · 3 - 6 Months

    Status: Bestseller
    Bestseller
  • J

    Johns Hopkins University

    Data Science: Foundations using R

    Skills you'll gain: Rmarkdown, Exploratory Data Analysis, R (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Visualization, Data Processing, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, Knitr, Data Sharing, Statistical Reporting, GitHub, Machine Learning

    4.6 stars, 48K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.6 (48K) · Beginner · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Regression Analysis, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Statistics, Probability, R Programming, Biostatistics, Data Analysis, Data Science, Probability Distribution, Derivatives

    4.4 stars, 802 reviews, Advanced, Specialization, 3 - 6 Months

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

  • I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Applied Mathematics, Descriptive Statistics, Model Optimization, Statistics, Geometry, Artificial Neural Networks, Data Science, Data Manipulation, Python Programming, Data Transformation, Machine Learning, Derivatives

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

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

    Status: Bestseller
    Bestseller
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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(102,456)IBM
  2. 2
    Data Science Foundations
    IBMBeginner3 - 6 Months4.6(118,120)IBM
  3. 3
    Applied Data Science
    IBMBeginner3 - 6 Months4.6(62,106)IBM

Best Data Science certificate programs

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

  1. 1
    Data Science
    Johns Hopkins UniversityBeginnerSpecialization
  2. 2
    Applied Data Science with Python
    University of MichiganIntermediate3 - 6 Months4.5(34,398)Specialization
  3. 3
    Mathematics for Machine Learning and Data Science
    DeepLearning.AIIntermediate1 - 3 Months4.6(3,263)Specialization

Best Data Science courses for beginners

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

  1. 1
    Data Science Fundamentals with Python and SQL
    IBMBeginner3 - 6 Months4.6(75,563)No prerequisites
  2. 2
    Data Science: Foundations using R
    Johns Hopkins UniversityBeginner3 - 6 Months4.6(48,249)No prerequisites
  3. 3
    Mathematics for Machine Learning
    Imperial College LondonBeginner3 - 6 Months4.6(15,105)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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