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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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    Coursera

    Data Science Challenge

    Skills you'll gain: Applied Machine Learning, Predictive Modeling, Jupyter, Predictive Analytics, Model Evaluation, Model Optimization, Data Analysis, Machine Learning, Data Science, Python Programming

    4.7 stars, 228 reviews, Intermediate, Guided Project, Less Than 2 Hours

    ★ 4.7 (228) · Intermediate · Guided Project · Less Than 2 Hours

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    Coursera

    Detecting COVID-19 with Chest X-Ray using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Training, Convolutional Neural Networks, Transfer Learning, Image Analysis, Predictive Modeling, Deep Learning, Radiology, Medical Imaging, Machine Learning, Computer Vision, Data Preprocessing, Data Transformation

    4.5 stars, 340 reviews, Intermediate, Guided Project, Less Than 2 Hours

    ★ 4.5 (340) · Intermediate · Guided Project · Less Than 2 Hours

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    Coursera

    Python for Data Analysis: Pandas & NumPy

    Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Data Manipulation, Analysis

    4.5 stars, 393 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.5 (393) · Beginner · Guided Project · Less Than 2 Hours

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    Coursera

    AWS S3 Basics

    Skills you'll gain: Amazon S3, Amazon Web Services, Cloud Hosting, Cloud Storage, Version Control, Encryption, Data Storage, Cloud Security

    4.5 stars, 1.3K reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.5 (1.3K) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
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    Coursera

    Introduction to Data Analysis using Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Data Analysis, Data Manipulation, Microsoft Office, Data Mining

    4.7 stars, 4.8K reviews, Intermediate, Guided Project, Less Than 2 Hours

    ★ 4.7 (4.8K) · Intermediate · Guided Project · Less Than 2 Hours

    Status: Free trial
    Free trial
    Category: Free
    Free

What brings you to Coursera today?

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    Coursera

    Getting Started in Google Analytics

    Skills you'll gain: Google Analytics, Web Analytics and SEO, Statistical Reporting, Data-Driven Marketing, Analytics, Data Analysis, User Accounts

    4.4 stars, 1.5K reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.4 (1.5K) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
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    Coursera

    Investment Risk Management

    Skills you'll gain: Portfolio Risk, Investment Management, Risk Management, Financial Analysis, Financial Management, Risk Modeling, Risk Analysis, Portfolio Management, Financial Market, Investments, Statistics

    4.3 stars, 2.2K reviews, Intermediate, Guided Project, Less Than 2 Hours

    ★ 4.3 (2.2K) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Machine Learning Software, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Predictive Analytics, Model Training, Cloud Deployment, Feature Engineering, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    4.5 stars, 834 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.5 (834) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
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    Coursera

    Working with BigQuery

    Skills you'll gain: Statistical Reporting, Data Visualization, Big Data, SQL, Interactive Data Visualization, Query Languages, Data Import/Export, Google Cloud Platform, Data Warehousing, Data Sharing, Analytics

    4.3 stars, 277 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.3 (277) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
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    Coursera

    Fine Tune BERT for Text Classification with TensorFlow

    Skills you'll gain: Fine-tuning, Tensorflow, Keras (Neural Network Library), Model Training, Model Evaluation, Transfer Learning, Natural Language Processing, Data Preprocessing, Deep Learning, Data Pipelines

    4.6 stars, 212 reviews, Intermediate, Guided Project, Less Than 2 Hours

    ★ 4.6 (212) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
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    Coursera

    Introduction to Business Analysis Using Spreadsheets: Basics

    Skills you'll gain: Google Sheets, Data Visualization, Spreadsheet Software, Data Presentation, Plot (Graphics), Statistical Visualization, Data Analysis, Business Analytics, Descriptive Analytics, Productivity Software, Business Analysis, Data Manipulation, Google Workspace, Analytics, Descriptive Statistics, Statistics, Data Cleansing

    4.3 stars, 1.1K reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.3 (1.1K) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
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    Coursera

    Building Candlestick Charts with Google Sheets

    Skills you'll gain: Technical Analysis, Google Sheets, Spreadsheet Software, Market Data, Cloud Computing, Data Visualization, Trend Analysis

    4.2 stars, 303 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.2 (303) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free

What brings you to Coursera today?

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Best free Data Science courses

High-quality free Data Science courses you can start today.

  1. 1
    AWS S3 Basics
    CourseraBeginnerLess Than 2 Hours4.5(1,283)Free
  2. 2
    Introduction to Data Analysis using Microsoft Excel
    CourseraIntermediateLess Than 2 Hours4.7(4,778)Free
  3. 3
    Getting Started in Google Analytics
    CourseraBeginnerLess Than 2 Hours4.4(1,530)Free

Best Data Science courses from Coursera

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

  1. 1
    Data Science Challenge
    CourseraIntermediateLess Than 2 Hours4.7(228)Coursera
  2. 2
    Detecting COVID-19 with Chest X-Ray using PyTorch
    CourseraIntermediateLess Than 2 Hours4.5(340)Coursera
  3. 3
    Python for Data Analysis: Pandas & NumPy
    CourseraBeginnerLess Than 2 Hours4.5(393)Coursera

Best Data Science courses for beginners

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

  1. 1
    Machine Learning Pipelines with Azure ML Studio
    CourseraBeginnerLess Than 2 Hours4.5(834)No prerequisites
  2. 2
    Working with BigQuery
    CourseraBeginnerLess Than 2 Hours4.3(277)No prerequisites
  3. 3
    Introduction to Business Analysis Using Spreadsheets: Basics
    CourseraBeginnerLess Than 2 Hours4.3(1,058)No prerequisites

Best short Data Science courses

Quick Data Science courses you can complete in a few hours or less.

  1. 1
    Investment Risk Management
    CourseraIntermediateLess Than 2 Hours4.3(2,189)Quick completion
  2. 2
    Fine Tune BERT for Text Classification with TensorFlow
    CourseraIntermediateLess Than 2 Hours4.6(212)Quick completion
  3. 3
    Building Candlestick Charts with Google Sheets
    CourseraBeginnerLess Than 2 Hours4.2(303)Quick completion

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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