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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 Illinois Urbana-Champaign

      Empathy and Data in Risk Management

      Skills you'll gain: Risk Management, Enterprise Risk Management (ERM), Risk Mitigation, Risk Analysis, Operational Risk, Tableau Software, Data Visualization Software, Cybersecurity, Data-Driven Decision-Making, Dashboard, Heat Maps, Diversity Equity and Inclusion Initiatives, Persuasive Communication, Communication, Algorithms

      Build toward a degree

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Modes of Science Communication

      Skills you'll gain: Oral Expression, Education Software and Technology, Technical Communication, Media and Communications, Writing, Education and Training, Storytelling, Instructional Strategies, Community Outreach, Science and Research, Student Engagement, Content Creation, Photography, Simulations, Photo/Video Production and Technology, Creativity, Music

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Automatic Data Processing, Inc. (ADP)

      Benefits: Health, Wellness, Work & Lifestyle

      Skills you'll gain: Benefits Administration, Compensation and Benefits, Human Resource Policies, Human Resources, Communication Planning, Health Care, Program Evaluation, Employee Engagement, Diversity and Inclusion, Dental Care

      Beginner · Course · 1 - 4 Weeks

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

      University of Pennsylvania

      Intro to Data Analytics, SQL, and EDA Using Python

      Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Database Management, Data Visualization Software, Business Analytics, Pandas (Python Package), Big Data, Data Science, Data Management, Data Manipulation, Data Cleansing, NumPy

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Hacking COVID-19: Metabolic Pathway Analysis Yields SARS-CoV-2 Drug Targets

      Skills you'll gain: Bioinformatics, Network Analysis, Medical Science and Research, Molecular Biology, Data Mining, Biochemistry, Scientific Visualization, Data Analysis Software, Pharmacology, Microbiology

      Beginner · Course · 1 - 4 Weeks

    • A

      Alfaisal University | KLD

      تحرير النصوص في مايكروسوفت وورد | Editing Text in MS Word

      Skills you'll gain: Technical Writing, Data Entry, Document Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      AWS: Networking

      Skills you'll gain: Amazon Web Services, Virtual Private Networks (VPN), Network Routing, Network Architecture, General Networking, Network Security, Network Monitoring

      4
      Rating, 4 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Inteligencia artificial: proyecto final

      Skills you'll gain: Program Development, Artificial Intelligence, Engineering Software, Software Development, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technical Writing

      Intermediate · Course · 1 - 4 Weeks

    • B

      Ball State University

      Data Visualization

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Data Visualization Software, Ggplot2, Interactive Data Visualization, Statistical Visualization, Visualization (Computer Graphics), R Programming, Data Storytelling, Data Presentation, Histogram, Scatter Plots, Data Analysis, Data Manipulation

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • P

      Politecnico di Milano

      Designing Learning Innovation: an introduction

      Skills you'll gain: Teaching, Pedagogy, Course Development, Instructional and Curriculum Design, Instructional Strategies, Curriculum Planning, Student-Centred Learning, Innovation, Quality Assessment, Infographics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Analysis with Python Project

      Skills you'll gain: Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Regression Analysis, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Exploratory Data Analysis, Statistical Methods

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Illinois Tech

      Introduction to Open Source Operating Systems - Bachelor's

      Skills you'll gain: Open Source Technology, Package and Software Management, Linux, Linux Administration, Linux Commands, Operating Systems, Command-Line Interface, File Systems, Unix Commands, Red Hat Enterprise Linux, Systems Administration, Shell Script, IT Automation, Web Servers, System Configuration, General Networking, Firewall, Software Installation, Virtual Machines, Virtualization

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

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    1…831832833…834

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

    • Empathy and Data in Risk Management: University of Illinois Urbana-Champaign
    • Modes of Science Communication: University of Colorado Boulder
    • Benefits: Health, Wellness, Work & Lifestyle: Automatic Data Processing, Inc. (ADP)
    • Intro to Data Analytics, SQL, and EDA Using Python: University of Pennsylvania
    • Hacking COVID-19: Metabolic Pathway Analysis Yields SARS-CoV-2 Drug Targets: University of California San Diego
    • تحرير النصوص في مايكروسوفت وورد | Editing Text in MS Word : Alfaisal University | KLD
    • AWS: Networking: Whizlabs
    • Inteligencia artificial: proyecto final: Universidad Nacional Autónoma de México
    • Data Visualization: Ball State University
    • Designing Learning Innovation: an introduction: Politecnico di Milano

    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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