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    Scikit-learn Courses Online

    Study Scikit-learn for machine learning in Python. Learn to build and evaluate models using this popular library.

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    Explore the Scikit-learn Course Catalog

    • U

      University of London

      Global Diplomacy: the United Nations in the World

      Skills you'll gain: Crisis Intervention, International Relations, Diplomacy, Advocacy, Human Services, Political Sciences, Social Justice, Public Policies, World History, Governance, Policy Analysis, Systems Thinking, Conflict Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Essential Google Cloud Infrastructure: Core Services

      Skills you'll gain: Identity and Access Management, Google Cloud Platform, Cloud Infrastructure, Infrastructure As A Service (IaaS), Cloud Computing, Cloud Services, Data Storage Technologies, Cloud Storage, Cloud Security, Databases, System Monitoring

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to DevOps

      Skills you'll gain: DevOps, Agile Methodology, Cloud-Native Computing, CI/CD, Test Driven Development (TDD), Scrum (Software Development), Behavior-Driven Development, Performance Metric, Accountability, Team Oriented, Culture Transformation, Microservices, Cross-Functional Collaboration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Project Management

      Skills you'll gain: User Story, Supplier Management, Project Schedules, Project Closure, Engineering Management, Milestones (Project Management), Team Leadership, Stakeholder Management, Agile Project Management, Scheduling, Scrum (Software Development), Procurement, Quality Management, Project Planning, Risk Management, Agile Methodology, Project Scoping, Resource Management, Stakeholder Communications, Sprint Planning

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Web Development for Beginners

      Skills you'll gain: Responsive Web Design, Color Theory, Version Control, Typography, HTML and CSS, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), GitHub, Git (Version Control System), Web Design, Web Design and Development, Web Development, Web Content Accessibility Guidelines, Front-End Web Development, Application Deployment, Web Applications, Design Elements And Principles, Animations, Web Content, Mobile Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Large Language Models

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      991 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Geneva

      International Organizations Management

      Skills you'll gain: International Relations, Leadership and Management, Strategic Partnership, Marketing, Fundraising, Leadership, Governance, Public Policies, Business, Organizational Strategy, Organizational Structure, World History, Cross-Functional Collaboration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 3 Months

    • D

      Deep Teaching Solutions

      Aprendendo a aprender: ferramentas mentais poderosas para ajudá-lo a dominar assuntos difíceis (em Português) [Learning How to Learn]

      Skills you'll gain: Productivity, Learning Strategies, Collaboration, Time Management, Willingness To Learn, Problem Solving, Persistence, Cognitive flexibility, Stress Management, Self-Awareness

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.1K reviews

      Beginner · Course · 1 - 3 Months

    • N

      Northwestern University

      Sports Marketing

      Skills you'll gain: Event Marketing, Marketing, Social Media, Media Relations, Marketing Strategies, Loyalty Programs, Brand Management, Event Planning, Public Relations, Revenue Management, Promotional Strategies, Strategic Partnership, Crisis Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Intermediate · Course · 1 - 3 Months

    • C

      California Institute of the Arts

      Sharpened Visions: A Poetry Workshop

      Skills you'll gain: Editing, Writing, Peer Review, Creativity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      Duke University

      Programming for Python Data Science: Principles to Practice

      Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Computational Thinking, Predictive Modeling, Data Cleansing, Data Structures, Data Visualization Software, Visualization (Computer Graphics), Debugging, Data Analysis, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Statistical Methods, Program Development

      3.8
      Rating, 3.8 out of 5 stars
      ·
      70 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Market Research

      Skills you'll gain: Surveys, Survey Creation, Focus Group, Quantitative Research, Qualitative Research, Data Synthesis, Market Research, Proposal Writing, Data Storytelling, Statistical Analysis, Presentations, Discussion Facilitation, Marketing Analytics, Marketing, Statistical Methods, Research Methodologies, Data Analysis, Data Visualization Software, Market Analysis, Business Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 3 - 6 Months

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    1…545556…834

    In summary, here are 10 of our most popular scikit learn courses

    • Global Diplomacy: the United Nations in the World: University of London
    • Essential Google Cloud Infrastructure: Core Services: Google Cloud
    • Introduction to DevOps: IBM
    • Project Management: University of Colorado Boulder
    • Web Development for Beginners: University of California, Davis
    • Introduction to Large Language Models: Google Cloud
    • International Organizations Management : University of Geneva
    • Aprendendo a aprender: ferramentas mentais poderosas para ajudá-lo a dominar assuntos difíceis (em Português) [Learning How to Learn]: Deep Teaching Solutions
    • Sports Marketing: Northwestern University
    • Sharpened Visions: A Poetry Workshop: California Institute of the Arts

    Frequently Asked Questions about Scikit Learn

    Scikit-learn—or skilearn—is a very useful library of algorithms in Python for machine learning. It started out as a Google summer of code project in 2007 then was further developed by a group of data scientists from the French Institute for Research in Computer Science and Automation (FIRCA) and released to the public in 2010. The scikit-learn library lives at a github.com URL and is now a community effort that anyone with qualified skills can contribute to. While the library is primarily written in Python, it's also built on Python-based libraries that include NumPy, Matplotlib, pandas, and SciPy. It gives users tools for statistical modeling and machine learning, such as classification, clustering, regression, model selection, preprocessing, and dimensionality reduction.‎

    When you learn scikit-learn, you put yourself in a position to be able to contribute to and help maintain the scikit-learn library. Top contributors include data scientists, software developers, machine learning researchers, research scientists, and open-source developers. Outside of contributing to the library, individuals in these career fields and others related to machine learning are better equipped to perform their job duties when they've learned how to utilize the algorithms in scikit-learn.‎

    Before starting to learn scikit-learn, you should have experience in and a sound understanding of Python. It is also often required to have experience in additional Python libraries, including NumPy, Scipy, Joblib, Matplotlib, and pandas.‎

    Taking online courses on Coursera can help you learn about Python and machine learning as well as the specifics of using and creating algorithms for scikit-learn. You might learn how to build univariate and multivariate linear regression models using scikit-learn, use pandas to manage data, and perform exploratory data analysis and data visualization with seaborn, a Python library based on Matplotlib. With Coursera's online courses, you may also have the opportunity to make predictions in specific topics like electricity consumption, sentiment analysis, and career longevity for NBA rookies, for example.‎

    Online Scikit Learn courses offer a convenient and flexible way to enhance your knowledge or learn new Scikit Learn skills. Choose from a wide range of Scikit Learn courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Scikit Learn, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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