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    • Scikit Learn

    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

    • Y

      Yale University

      Understanding Medical Research: Your Facebook Friend is Wrong

      Skills you'll gain: Probability & Statistics, Research Design, Medical Science and Research, Statistics, Data Literacy, Statistical Analysis, Scientific Methods, Clinical Research

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 3 Months

    • U

      Università Bocconi

      Financing and Investing in Infrastructure

      Skills you'll gain: Project Finance, Risk Analysis, Capital Budgeting, Financial Analysis, Credit Risk, Risk Management, Investments, Loans, Contract Management, Banking

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.1K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Object Oriented Programming in Java

      Skills you'll gain: Event-Driven Programming, Interactive Data Visualization, Java, Object Oriented Programming (OOP), User Interface (UI), Computer Programming, Algorithms, Software Engineering, Data Structures, Software Documentation, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Word Forms and Simple Present Tense

      Skills you'll gain: Grammar, Vocabulary, English Language, Language Competency

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Anatomy: Musculoskeletal and Integumentary Systems

      Skills you'll gain: Anatomy, Orthopedics, Kinesiology, Biology, Medical Terminology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Developing APIs with Google Cloud's Apigee API Platform

      Skills you'll gain: OAuth, API Design, Restful API, API Gateway, Application Programming Interface (API), Cloud API, Continuous Deployment, CI/CD, Application Deployment, Google Cloud Platform, Application Lifecycle Management, Security Controls, Proxy Servers, Continuous Integration, Application Security, Software Design Documents, Middleware, Software Documentation, Network Security, Application Performance Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Improving Communication Skills

      Skills you'll gain: Active Listening, Communication, Communication Strategies, Persuasive Communication, Verbal Communication Skills, Interpersonal Communications, Business Communication, Trustworthiness, Rapport Building, Goal Setting, Relationship Building, Non-Verbal Communication, Cooperation, Negotiation, Honesty

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Introduction to Python Programming

      Skills you'll gain: Data Structures, Programming Principles, Python Programming, Computer Programming, Computational Thinking, Scripting, Software Development Tools, Integrated Development Environments, Data Import/Export, Jupyter, File Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      American Museum of Natural History

      The Science of Stem Cells

      Skills you'll gain: Medical Science and Research, Healthcare Ethics, Clinical Research, Life Sciences, Biology, Precision Medicine, Molecular Biology, Emerging Technologies, Laboratory Research, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Agile Development and Scrum

      Skills you'll gain: Agile Software Development, Agile Methodology, Kanban Principles, Agile Project Management, User Story, Sprint Retrospectives, Sprint Planning, Workflow Management, Performance Metric, Team Oriented, Backlogs, Performance Measurement, Lean Methodologies, Continuous Improvement Process, Prioritization, Estimation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • L

      Lund University

      AI, Business & the Future of Work

      Skills you'll gain: Organizational Strategy, Artificial Intelligence, Strategic Thinking, Business Transformation, Business Risk Management, Business Strategy, Organizational Change, Business Ethics, Automation, Thought Leadership, Machine Learning, Interviewing Skills, Human Machine Interfaces

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Influencing People

      Skills you'll gain: Influencing, Persuasive Communication, Leadership, Professional Networking, Executive Presence, Initiative and Leadership, Relationship Building, Public Speaking, Decision Making, Communication, Negotiation, Stakeholder Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Understanding Medical Research: Your Facebook Friend is Wrong: Yale University
    • Financing and Investing in Infrastructure: Università Bocconi
    • Object Oriented Programming in Java: University of California San Diego
    • Word Forms and Simple Present Tense: University of California, Irvine
    • Anatomy: Musculoskeletal and Integumentary Systems: University of Michigan
    • Developing APIs with Google Cloud's Apigee API Platform: Google Cloud
    • Improving Communication Skills: University of Pennsylvania
    • Introduction to Python Programming: University of Pennsylvania
    • The Science of Stem Cells: American Museum of Natural History
    • Introduction to Agile Development and Scrum: IBM

    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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