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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

    • É

      École Polytechnique

      How to Write and Publish a Scientific Paper (Project-Centered Course)

      Skills you'll gain: Peer Review, Journals, Scientific Methods, Writing, Research, Research Design, Research Methodologies, Editing, Style Guides, Ethical Standards And Conduct, Data Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.7K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Copenhagen

      The Sustainable Development Goals – A global, transdisciplinary vision for the future

      Skills you'll gain: Environment, Natural Resource Management, Environmental Science, Sustainability Reporting, Environmental Policy, Research, Environmental Social And Corporate Governance (ESG), Systems Thinking, Public Policies, Economic Development, Economics, Stakeholder Engagement, Performance Measurement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Toronto

      Communication Strategies for a Virtual Age

      Skills you'll gain: Meeting Facilitation, Presentations, Persuasive Communication, Communication, Collaboration, Team Building, Interpersonal Communications, Business Communication, Virtual Teams, Public Speaking, Non-Verbal Communication, Telecommuting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • K

      Knowledge Accelerators

      Customer Service Fundamentals

      Skills you'll gain: Service Level Agreement, Problem Solving, Customer Service, Customer Support, Desktop Support, Technical Communication, Help Desk Support, Technical Support, Critical Thinking and Problem Solving, Issue Tracking, Rapport Building, Patience, Empathy, Time Management, Communication

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Programming Fundamentals

      Skills you'll gain: Programming Principles, Algorithms, Pseudocode, Computational Thinking, Computer Programming, Data Structures, Software Testing, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      ISC2

      Certified in Cybersecurity

      Skills you'll gain: Network Security, Incident Response, Business Continuity, Security Controls, Disaster Recovery, Configuration Management, Cybersecurity, Security Management, Cyber Attacks, Computer Security Awareness Training, Information Assurance, Data Security, Infrastructure Security, Risk Management Framework, Event Monitoring, Encryption, Threat Detection, Role-Based Access Control (RBAC), Authorization (Computing), Cyber Security Policies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      TensorFlow: Advanced Techniques

      Skills you'll gain: Generative AI, Tensorflow, Computer Vision, Image Analysis, Deep Learning, Keras (Neural Network Library), Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Distributed Computing, Computer Graphics, Unsupervised Learning, Network Model, Visualization (Computer Graphics), Network Architecture, Performance Tuning, Machine Learning Methods, API Design, Object Oriented Programming (OOP)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Responsive Website Development and Design

      Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design, Human Computer Interaction, Interaction Design, jQuery, Bootstrap (Front-End Framework), Hypertext Markup Language (HTML), Usability, User Experience Design, User Accounts, MongoDB, User Interface and User Experience (UI/UX) Design, Web Design and Development, Wireframing, Persona (User Experience), Web Applications, Full-Stack Web Development, Interactive Data Visualization, JavaScript Frameworks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      7.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Business Metrics for Data-Driven Companies

      Skills you'll gain: Business Analytics, Business Metrics, Analytics, Business Process Improvement, Business Intelligence, Tableau Software, Data Analysis, Big Data, Key Performance Indicators (KPIs), Spreadsheet Software, Web Analytics, Data-Driven Decision-Making, Business Strategy, Digital Transformation, E-Commerce, Financial Services, SQL

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.4K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Electric Power Systems

      Skills you'll gain: Electrical Substation, Electrical Power, Electric Power Systems, Electrical Systems, Energy and Utilities, Basic Electrical Systems, Electrical Equipment, Electrical Safety, Low Voltage, High Voltage, Environmental Engineering, Emerging Technologies, Reliability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Fundamentals of Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Markov Model, Algorithms, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Financial Planning for Young Adults

      Skills you'll gain: Financial Planning, Investments, Budgeting, Risk Management, Goal Setting, Loans, Finance, Insurance, Credit Risk

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

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    1…495051…834

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

    • How to Write and Publish a Scientific Paper (Project-Centered Course): École Polytechnique
    • The Sustainable Development Goals – A global, transdisciplinary vision for the future: University of Copenhagen
    • Communication Strategies for a Virtual Age: University of Toronto
    • Customer Service Fundamentals: Knowledge Accelerators
    • Programming Fundamentals: Duke University
    • Certified in Cybersecurity: ISC2
    • TensorFlow: Advanced Techniques: DeepLearning.AI
    • Responsive Website Development and Design: University of London
    • Business Metrics for Data-Driven Companies: Duke University
    • Electric Power Systems: University at Buffalo

    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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