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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

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing in TensorFlow

      Skills you'll gain: Tensorflow, Natural Language Processing, Generative AI, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Text Mining, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Michigan State University

      Cameras, Exposure, and Photography

      Skills you'll gain: Photography, Peer Review, Photo/Video Production and Technology, Creativity, File Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Introducción a Data Science: Programación Estadística con R

      Skills you'll gain: R Programming, Statistical Programming, Ggplot2, Data Manipulation, Simulations, Statistical Software, Data Science, Data Visualization, Graphing, Programming Principles, Data Import/Export, Scripting, Data Structures, Software Installation, Package and Software Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IESE Business School

      Accounting: Principles of Financial Accounting

      Skills you'll gain: Financial Statement Analysis, Financial Statements, Income Statement, Cash Flows, Balance Sheet, Financial Accounting, Accrual Accounting, Financial Analysis, Financial Reporting, Generally Accepted Accounting Principles (GAAP)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • K

      Knowledge Accelerators

      From Excel to Power BI

      Skills you'll gain: Power BI, Dashboard, Data Presentation, Interactive Data Visualization, Data Analysis Expressions (DAX), Data Import/Export, Microsoft Excel, Data Visualization Software, Business Intelligence, Data Modeling, Data-Driven Decision-Making, Data Sharing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      English for Journalism

      Skills you'll gain: Journalism, Research, Oral Expression, Interviewing Skills, Vocabulary, Writing, Media and Communications, Grammar, Electronic Media, Digital Publishing, English Language, Storytelling, Editing, Proofreading, Ethical Standards And Conduct

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Data Structures

      Skills you'll gain: Data Structures, Algorithms, Data Storage, Programming Principles, Computer Programming, C++ (Programming Language), Theoretical Computer Science, File Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.5K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      C# Programming for Unity Game Development

      Skills you'll gain: Unity Engine, Debugging, Object Oriented Programming (OOP), Video Game Development, C# (Programming Language), Game Design, Software Design Patterns, Computer Programming, Event-Driven Programming, Data Structures, Integrated Development Environments, Data Storage, Application Development, Software Design, Program Development, UI Components, Cross Platform Development, Scripting, Data Import/Export, Development Environment

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      B

      Berklee

      Music Business

      Skills you'll gain: Entrepreneurship, Contract Negotiation, Intellectual Property, Music, Lawsuits, Team Building, Design Thinking, Music History, Creativity, Ideation, Innovation, Creative Problem-Solving, Creative Thinking, Product Development, Legal Proceedings, Law, Regulation, and Compliance, Musical Composition, Revenue Management, Revenue Recognition, Regulation and Legal Compliance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      Duke University

      Introduction to Genetics and Evolution

      Skills you'll gain: Life Sciences, Molecular Biology, Biology, Biostatistics, Bioinformatics, Environment, Laboratory Research, Taxonomy, Scientific Methods, Experimentation, Mathematical Modeling

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

      Mixed · Course · 1 - 3 Months

    • U

      University of Virginia

      The Modern World, Part One: Global History from 1760 to 1910

      Skills you'll gain: European History, World History, International Relations, Social Sciences, Political Sciences, Economics, Economic Development, Culture, Governance

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

      Beginner · Course · 1 - 3 Months

    • U

      University of Virginia

      How Things Work: An Introduction to Physics

      Skills you'll gain: Mechanics, Torque (Physics), Physics, Energy and Utilities, Experimentation

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

      Intermediate · Course · 1 - 3 Months

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

    • Natural Language Processing in TensorFlow: DeepLearning.AI
    • Cameras, Exposure, and Photography: Michigan State University
    • Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
    • Accounting: Principles of Financial Accounting: IESE Business School
    • From Excel to Power BI: Knowledge Accelerators
    • English for Journalism: University of Pennsylvania
    • Data Structures: University of California San Diego
    • C# Programming for Unity Game Development: University of Colorado System
    • Music Business: Berklee
    • Introduction to Genetics and Evolution: Duke 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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