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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

    • T

      The University of Edinburgh

      EDIVET: Do you have what it takes to be a veterinarian?

      Skills you'll gain: Anatomy, Vital Signs, Respiration, Health Care, Caregiving, Health Systems, Health Assessment, Clinical Experience, Medical History Documentation, Cardiology, Biology, Practice Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.5K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Entrepreneurship: Launching an Innovative Business

      Skills you'll gain: Customer Analysis, Commercialization, Business Modeling, Strategic Decision-Making, Innovation, Entrepreneurship, Entrepreneurial Finance, Market Opportunities, Business Planning, New Product Development, Sales Pipelines, Sales Strategy, Ideation, Sales Presentation, Product Development, Team Building, Business Strategies, Design Thinking, Capital Markets, Finance

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Introduction to Computer Science and Programming

      Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Javascript, Computer Networking, Computational Thinking, Theoretical Computer Science, Human Computer Interaction, Program Development, Hardware Architecture, Computer Graphics, Operating Systems, Cybersecurity, Computer Programming, Problem Management, General Mathematics, Applied Mathematics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: From Concept to Data Analysis

      Skills you'll gain: Bayesian Statistics, Statistical Inference, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Aprender

      Skills you'll gain: Learning Strategies, Human Learning, Learning Theory, Quick Learning, Self-Motivation, Lifelong Learning, Literacy, Mental Concentration, Willingness To Learn, Cognitive flexibility, Critical Thinking, Productivity, Personal Development, Self-Awareness, Growth Mindedness, Goal Setting

      4.9
      Rating, 4.9 out of 5 stars
      ·
      5.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Start Writing Prompts like a Pro

      Skills you'll gain: Prompt Engineering, Data Ethics, Generative AI, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      308 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Accounting Analytics

      Skills you'll gain: Financial Data, Financial Analysis, Financial Statement Analysis, Financial Forecasting, Business Analytics, Predictive Analytics, Analytics, Forecasting, Financial Statements, Accounting, Business Metrics, Performance Analysis, Anomaly Detection, Return On Investment, Key Performance Indicators (KPIs), Business Strategy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Operating Systems: Overview, Administration, and Security

      Skills you'll gain: Cloud Computing, Linux, Linux Administration, Cloud Security, Operating Systems, Windows PowerShell, Windows Servers, File Systems, System Configuration, Mac OS, Command-Line Interface, Security Controls, Firewall, Virtualization and Virtual Machines, Containerization, User Accounts

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Teach English Now! Second Language Reading, Writing, and Grammar

      Skills you'll gain: Literacy, Grammar, English Language, Language Learning, Vocabulary

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

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Model Thinking

      Skills you'll gain: Mathematical Modeling, Systems Thinking, Diversity and Inclusion, Game Theory, Innovation, Behavioral Economics, Analysis, Strategic Decision-Making, Social Studies, Decision Making, Network Analysis, Trend Analysis, Economics, Probability, Human Learning, Market Dynamics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Perfect Tenses and Modals

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Introduction to Data Analysis using Microsoft Excel

      Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Data Mining

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4K reviews

      Intermediate · Guided Project · Less Than 2 Hours

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    1…565758…834

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

    • EDIVET: Do you have what it takes to be a veterinarian?: The University of Edinburgh
    • Entrepreneurship: Launching an Innovative Business: University of Maryland, College Park
    • Introduction to Computer Science and Programming: University of London
    • Bayesian Statistics: From Concept to Data Analysis: University of California, Santa Cruz
    • Aprender: Universidad Nacional Autónoma de México
    • Start Writing Prompts like a Pro: Google
    • Accounting Analytics: University of Pennsylvania
    • Operating Systems: Overview, Administration, and Security: IBM
    • Teach English Now! Second Language Reading, Writing, and Grammar : Arizona State University
    • Model Thinking: University of Michigan

    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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