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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: New
      New
      P

      Packt

      Practical C++: Learn C++ Basics Step by Step

      Skills you'll gain: Object Oriented Programming (OOP), C++ (Programming Language), Development Environment, Programming Principles, Computer Programming, Maintainability, Data Structures, Command-Line Interface, Debugging

      Beginner · Course · 1 - 3 Months

    • E

      Emory University

      The Addicted Brain

      Skills you'll gain: Pharmacology, Mental and Behavioral Health, Human Learning, Neurology, Behavioral Health, Socioeconomics, Vulnerability, Health Policy, Laboratory Research, Public Health

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of London

      Corporate Strategy

      Skills you'll gain: Corporate Strategy, Business Strategy, Resource Allocation, Strategic Decision-Making, Organizational Strategy, Mergers & Acquisitions, Growth Strategies, New Business Development, Business Valuation, Analysis, Market Opportunities

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Álgebra básica

      Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Geometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.6K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Amsterdam

      Basic Statistics

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Probability Distribution, Correlation Analysis, Probability, Statistical Inference, Regression Analysis, Sample Size Determination, Statistics, Scientific Methods

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

      Beginner · Course · 1 - 3 Months

    • U

      Universidad Austral

      Excel aplicado a los negocios (Nivel Avanzado)

      Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Analysis Expressions (DAX), Business Analysis, Data Validation, Business Analytics, Data Import/Export, Process Optimization, Data Analysis Software, Business Modeling, Automation

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

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Project Management: The Basics for Success

      Skills you'll gain: Project Controls, Team Leadership, Project Planning, Team Performance Management, Team Building, Project Management, Project Management Life Cycle, Project Schedules, Performance Reporting, Management Reporting, Stakeholder Management, Communication

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      Universiteit Leiden

      International Humanitarian Law in Theory and Practice

      Skills you'll gain: International Relations, Conflict Management, Child Welfare, Ethical Standards And Conduct, Working With Children, Legal Research, Case Law, Journalism, Investigation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera

      YouTube Monetization: Collaborate with Brands

      Skills you'll gain: Content Development and Management, Content Strategy, Advertising, Marketing Channel, Business Planning, Strategic Partnership, Merchandising, Revenue Management, New Business Development, Live Streaming, Promotions and Campaigns, Marketing Analytics

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      JavaScript Fundamentals & The DOM

      Skills you'll gain: Javascript, Event-Driven Programming, Data Structures, Programming Principles, HTML and CSS, Web Design and Development, Web Applications, Web Development Tools, Debugging

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Generative AI for PowerPoint and Word to Optimize Content Creation

      Skills you'll gain: Presentations, Microsoft Copilot, Microsoft PowerPoint, Microsoft Word, Multimedia, Microsoft 365, Animations, Editing, Writing and Editing, Business Writing, Generative AI, Content Creation, Target Audience

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Microsoft Copilot for Power BI: AI-Powered Report Insights

      Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Dashboard, Data Modeling, Business Intelligence, Microsoft Excel, Data Visualization Software, Microsoft Copilot, Data Integration, Interactive Data Visualization, Data-Driven Decision-Making, Data Manipulation, Data Transformation, Data Cleansing, ChatGPT

      Intermediate · Course · 1 - 4 Weeks

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    1…444546…834

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

    • Practical C++: Learn C++ Basics Step by Step: Packt
    • The Addicted Brain: Emory University
    • Corporate Strategy : University of London
    • Álgebra básica: Universidad Nacional Autónoma de México
    • Basic Statistics: University of Amsterdam
    • Excel aplicado a los negocios (Nivel Avanzado): Universidad Austral
    • Project Management: The Basics for Success: University of California, Irvine
    • International Humanitarian Law in Theory and Practice : Universiteit Leiden
    • YouTube Monetization: Collaborate with Brands: Coursera
    • JavaScript Fundamentals & The DOM: Packt

    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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