Data Science

Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Coursera's Data Science catalogue equips you with essential techniques and tools used for statistical analysis, machine learning, data visualization, and predictive modeling. You'll learn how to manage, analyze, and interpret complex data, develop algorithms to solve data problems, and utilize Python and R programming languages. By mastering these skills, you can become a vital asset in any industry, helping organizations make data-driven decisions.
61credentials
132courses

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Learn a new tool or skill in an interactive, hands-on environment.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Find the best Data Science course for your goals

  • Coursera Project Network

    Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference

  • Status: Free Trial

    Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Programming Principles, Computer Programming, Histogram, Functional Design, Package and Software Management, Data Import/Export, Scripting, Scripting Languages, Data Manipulation, Python Programming, Data Science, Software Engineering

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

  • Status: Free Trial

    Fractal Analytics

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Visualization, Statistical Analysis, Probability & Statistics, Statistics, Pandas (Python Package), Data Analysis, Jupyter, Data Processing, Data Manipulation, Data Science, Data Transformation, Applied Machine Learning, Data Cleansing, Python Programming

  • Status: Free Trial

    Duke University

    Skills you'll gain: Data Ethics, Exploratory Data Analysis, Web Scraping, Ggplot2, Data Visualization Software, Tidyverse (R Package), Data Visualization, Data Analysis, Responsible AI, Data Transformation, Statistical Methods, Data Science, Data Wrangling, R Programming, Data Cleansing, GitHub, Data Manipulation, Data Collection, Data Presentation, Version Control

  • Status: Free Trial

    Skills you'll gain: Data Storytelling, Data Visualization, Big Data, Data Visualization Software, Data Analysis, Dashboard, IBM Cognos Analytics, Statistical Analysis, Data Mining, Apache Hadoop, Data Collection, Tree Maps, Excel Formulas, Apache Hive, Data Science, Microsoft Excel, Data Warehousing, Data Quality, Data Cleansing, Scatter Plots

  • Status: Free Trial

    Duke University

    Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Applied Machine Learning, Project Management, Product Management, Product Design, Data Science

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Health Informatics, Clinical Informatics, Health Technology, Change Control, Health Systems, Health Policy, Informatics, Health Care, Medical Records, Health Care Administration, Healthcare Industry Knowledge, Health Information Management, Decision Support Systems, Solution Design, Health Information Management and Medical Records, IT Management, Electronic Medical Record System, Databases, Usability Testing, Data Science

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, IBM Cloud, Responsible AI, LLM Application, Workflow Management, Action Oriented, No-Code Development, Machine Learning Software, Business Workflow Analysis, Machine Learning, AI Product Strategy, Artificial Intelligence, Self Service Technologies, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Computer Vision, Software Development Life Cycle, Large Language Modeling, Software Architecture, LangChain, ChatGPT, Responsive Web Design, LLM Application, Flask (Web Framework), Generative AI, Software Design, IBM Cloud, Data Import/Export, Python Programming, Engineering Software, Workflow Management, Machine Learning, Data Science

  • Status: Free Trial

    Skills you'll gain: Database Design, Relational Databases, SQL, Databases, R Programming, Database Management, Data Science, Database Management Systems, Data Modeling, Data Analysis Software, Query Languages, Data Access, Data Manipulation, Data Analysis

Related roles

Gain the knowledge and skills you need to advance.

  • This role has a £55,455 median salary ¹.

    description:

    A Data Scientist analyzes large datasets to uncover insights, using statistics, machine learning, and visualization to inform business strategies.

    This role has a £55,455 median salary ¹.

    Offered by

    Microsoft_logo
    IBM_logo
    Johns Hopkins University_logo
  • description:

    A Machine Learning Engineer builds and optimizes algorithms that enable computers to learn from data, using large datasets and neural networks.

    Offered by

    IBM_logo
    DeepLearning.AI_logo
    Stanford University_logo

Most popular

Trending now

New releases

What brings you to Coursera today?

Leading partners

  • IBM
  • Packt
  • Duke University
  • University of Colorado Boulder
  • Johns Hopkins University
  • DeepLearning.AI
  • Fundação Instituto de Administração
  • Splunk Inc.