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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

    • B

      Board Infinity

      Google Cloud DevOps Fundamentals

      Skills you'll gain: DevOps, Google Cloud Platform, CI/CD, Application Deployment, Kubernetes, Continuous Integration, Containerization, Software Quality Assurance, Software Testing, Continuous Delivery, Cloud Services, Release Management, Development Environment, Version Control, Continuous Monitoring

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      Pesquisa de Mercado e a Gestão Estratégica de Marketing

      Skills you'll gain: Marketing Strategies, Market Research, Strategic Marketing, Marketing Management, Marketing Analytics, Market Intelligence, Data-Driven Decision-Making, Customer Insights, Consumer Behaviour, Target Market, A/B Testing, Digital Marketing, Statistical Hypothesis Testing

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Cloud Storage and Containers for Azure Professionals

      Skills you'll gain: Kubernetes, Google Cloud Platform, Microsoft Azure, Cloud Storage, Data Lakes, Containerization, Hybrid Cloud Computing, Multi-Cloud, Cloud Computing Architecture, Network Architecture

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Getting Started with Cloud Data Fusion

      Skills you'll gain: Data Pipelines, Google Cloud Platform, Data Transformation, Data Integration, Big Data, Data Import/Export, Cloud Services

      3.8
      Rating, 3.8 out of 5 stars
      ·
      6 reviews

      Beginner · Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Full-stack Development with Django: Managing Migrations

      Skills you'll gain: Back-End Web Development, Django (Web Framework), Server Side, Data Migration, Full-Stack Web Development, Data Structures, Database Development

      Intermediate · Guided Project · Less Than 2 Hours

    • S

      S.P. Jain Institute of Management and Research

      Introduction to Strategic Brand Management

      Skills you'll gain: Brand Strategy, Brand Management, Branding, Brand Awareness, Brand Loyalty, Strategic Marketing, Marketing Management, Business Strategy, Plan Execution, Product Lining, Market Share, Portfolio Management, Value Propositions, Competitive Analysis, Business-To-Consumer, Target Audience, B2B Sales

      Beginner · Course · 1 - 4 Weeks

    • P

      Politecnico di Milano

      Data science perspectives on pandemic management

      Skills you'll gain: Health Policy, Economics, Policy, and Social Studies, Environmental Monitoring, Policty Analysis, Research, and Development, Socioeconomics, Geographic Information Systems, Public Health, Infectious Diseases, Public Affairs, Network Analysis, Data Collection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Regression Modeling for Marketers

      Skills you'll gain: Statistical Software, Marketing Analytics, Regression Analysis, Statistical Modeling, Data Visualization, Statistical Analysis, Market Analysis, Marketing, Predictive Analytics, Marketing Strategies, Predictive Modeling, Customer Insights, Market Dynamics, Statistical Hypothesis Testing, A/B Testing

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Estructuras y gestión de bases de datos con MySQL

      Skills you'll gain: MySQL, Database Management, SQL, Database Design, Relational Databases, Databases, Database Architecture and Administration, Query Languages, Stored Procedure, Data Integrity, Data Manipulation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Managing Identity Services using AD DS and Microsoft Entra

      Skills you'll gain: Group Policy, Azure Active Directory, Active Directory, Microsoft Azure, Windows Servers, Hybrid Cloud Computing, Authentications, Identity and Access Management, Infrastructure As A Service (IaaS), User Accounts, Multi-Factor Authentication, Disaster Recovery, System Configuration, Authorization (Computing)

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      GenAI for Software Engineering Teams

      Skills you'll gain: Collaborative Software, Software Development Tools, Software Development Methodologies, Agile Project Management, Agile Methodology, Software Engineering, Data Ethics, Generative AI, Artificial Intelligence, Innovation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • B

      Board Infinity

      Dataplex by Google Cloud

      Skills you'll gain: Data Lakes, Cloud Management, Data Governance, Google Cloud Platform, Data Integration, Data Warehousing, Data Management, Data Infrastructure, Data Processing, Data Quality, Data Pipelines, Analytics, Data Security, IT Automation, Identity and Access Management

      3.3
      Rating, 3.3 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

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    1…831832833834

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

    • Google Cloud DevOps Fundamentals: Board Infinity
    • Pesquisa de Mercado e a Gestão Estratégica de Marketing: Fundação Instituto de Administração
    • Google Cloud Storage and Containers for Azure Professionals: Google Cloud
    • Getting Started with Cloud Data Fusion: Google Cloud
    • Full-stack Development with Django: Managing Migrations: Coursera Project Network
    • Introduction to Strategic Brand Management: S.P. Jain Institute of Management and Research
    • Data science perspectives on pandemic management: Politecnico di Milano
    • Regression Modeling for Marketers: University of Colorado System
    • Estructuras y gestión de bases de datos con MySQL: Meta
    • Managing Identity Services using AD DS and Microsoft Entra: SkillUp EdTech

    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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