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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

    • 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: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Introduction to AI

      Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Software, Machine Learning, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      560 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Introduction to Genomic Technologies

      Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Programming Principles, Computer Science, Statistical Analysis, Computational Thinking, Big Data, Software Engineering, Algorithms, Biology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.7K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      School Health for Children and Adolescents

      Skills you'll gain: Autism Spectrum Disorders, Individualized Education Programs (IEP), Special Education, Nutrition Education, Community Health, School Psychology, Chronic Diseases, Student Support and Services, Nutrition and Diet, School Counseling, Public Health, Public Health and Disease Prevention, Mental and Behavioral Health Specialties, Care Management, Child Health, Patient Evaluation, Care Coordination, Disabilities, Medical Emergency, Social and Human Services

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Teach English Now! Lesson Design and Assessment

      Skills you'll gain: Oral Expression, Design Elements And Principles, Design Strategies, English Language, Language Learning

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

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rutgers the State University of New Jersey

      Supply Chain Operations

      Skills you'll gain: Lean Six Sigma, Lean Manufacturing, Process Improvement, Operations Management, Production Process, Six Sigma Methodology, Operational Efficiency, Quality Improvement, Kanban Principles, Continuous Improvement Process, Inventory Control, Inventory Management System

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Fundamentals of Visualization with Tableau

      Skills you'll gain: Data Visualization Software, Data Visualization, Interactive Data Visualization, Dashboard, Tableau Software, Data Presentation, Tree Maps, Data Analysis, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Stanford University

      COVID-19 Training for Healthcare Workers

      Skills you'll gain: Respiratory Care, Telehealth, Respiratory Therapy, Critical Care, Emergency and Intensive Care, Patient Positioning, Patient Treatment, Pediatrics, Infection Control, Patient Evaluation, Intensive Care Unit, Vital Signs, Health Assessment, Infectious Diseases, Medical Ultrasonography

      4.9
      Rating, 4.9 out of 5 stars
      ·
      6.4K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Everyday Excel, Part 1

      Skills you'll gain: Data Import/Export, Microsoft Excel, Data Visualization, Data Management, Excel Macros, Excel Formulas, Data Validation, Microsoft Word, Microsoft PowerPoint

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 3 Months

    • Y

      Yale University

      Moralities of Everyday Life

      Skills you'll gain: Psychology, Research, Anthropology, Ethical Standards And Conduct, Cultural Diversity, Social Sciences, Sociology, Political Sciences, Child Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Mixed · Course · 1 - 3 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 Toronto

      GIS, Mapping, and Spatial Analysis

      Skills you'll gain: ArcGIS, Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, GIS Software, Data Mapping, Data Visualization, Metadata Management, Query Languages, Global Positioning Systems, Quantitative Research, Data Compilation, Data Modeling, Typography, Data Manipulation, Data Processing, Data Storytelling, Design Elements And Principles, Image Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Certified in Cybersecurity: ISC2
    • Introduction to AI: Google
    • Introduction to Genomic Technologies: Johns Hopkins University
    • School Health for Children and Adolescents: University of Colorado System
    • Teach English Now! Lesson Design and Assessment: Arizona State University
    • Supply Chain Operations: Rutgers the State University of New Jersey
    • Fundamentals of Visualization with Tableau: University of California, Davis
    • COVID-19 Training for Healthcare Workers: Stanford University
    • Everyday Excel, Part 1: University of Colorado Boulder
    • Moralities of Everyday Life: Yale University

    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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