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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

    • Status: Free
      Free
      U

      University of Pennsylvania

      English for Career Development

      Skills you'll gain: Vocabulary, Writing, Business Writing, Interviewing Skills, Verbal Communication Skills, Language Learning, Business Correspondence, Professional Networking, Professional Development, Business Communication, Communication, Grammar, Recruitment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16K reviews

      Mixed · Course · 1 - 3 Months

    • G

      Google

      Foundations of Digital Marketing and E-commerce

      Skills you'll gain: Data Storytelling, Performance Measurement, Data-Driven Decision-Making, E-Commerce, Digital Marketing, Branding, Marketing Channel, Marketing Strategy and Techniques, Customer Analysis, Advertising, Marketing Analytics, Search Engine Marketing, Customer Engagement, Content Marketing, Brand Awareness, Search Engine Optimization, Social Media Marketing, Target Audience

      4.8
      Rating, 4.8 out of 5 stars
      ·
      27K reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google

      Prepare Data for Exploration

      Skills you'll gain: Data Ethics, Data Analysis, Data Security, Google Sheets, Databases, Data Storage, Data Quality, Data Integrity, Data Management, Data Collection, Data Manipulation, Relational Databases, SQL, Metadata Management, Unstructured Data

      4.8
      Rating, 4.8 out of 5 stars
      ·
      22K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Security in Google Cloud

      Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Identity and Access Management, Data Loss Prevention, Distributed Denial-Of-Service (DDoS) Attacks, Kubernetes, Cloud Security, Containerization, OAuth, Cloud Storage, Cloud Applications, Cloud Services, Application Deployment, Virtual Machines, Security Controls, Cloud Computing, Threat Management, Generative AI, Virtual Private Networks (VPN), Data Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49K reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud DevOps Engineer

      Skills you'll gain: Site Reliability Engineering, Kubernetes, Application Performance Management, Google Cloud Platform, Cloud Infrastructure, System Monitoring, Application Deployment, Identity and Access Management, Containerization, DevOps, CI/CD, Cloud Storage, Cloud Security, Cloud Applications, Cloud Services, Cloud Management, Service Level Agreement, Continuous Delivery, Safety Culture, Network Monitoring

      4.7
      Rating, 4.7 out of 5 stars
      ·
      54K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      Y

      Yale University

      Financial Markets

      Skills you'll gain: Investment Banking, Risk Management, Financial Market, Financial Regulation, Financial Services, Finance, Business Risk Management, Securities (Finance), Financial Policy, Capital Markets, Behavioral Economics, Banking, Corporate Finance, Governance, Insurance, Underwriting, Equities, Derivatives, Mortgage Loans, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      Y

      Yonsei University

      Learn to Speak Korean 1

      Skills you'll gain: Language Learning, Language Interpretation, Translation, and Studies, Vocabulary, Grammar

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 3 Months

    • Status: AI skills
      AI skills
      M

      Meta

      Meta Social Media Marketing

      Skills you'll gain: Social Media Content, Social Media Management, Social Media Marketing, Social Media, Marketing Analytics, Target Audience, Content Creation, Social Media Strategy, Instagram, Campaign Management, Marketing Effectiveness, Marketing, Performance Analysis, Key Performance Indicators (KPIs), Goal Setting, Advertising, Facebook, Performance Metric, Communication, Advertising Campaigns

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      21K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Data Visualization Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Python Programming, SQL

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      Foundations of Project Management

      Skills you'll gain: Project Management Life Cycle, Change Management, Organizational Structure, Project Management, Project Coordination, Organizational Skills, Agile Methodology, Project Planning, Waterfall Methodology, Cross-Functional Collaboration, Communication, Decision Making

      4.9
      Rating, 4.9 out of 5 stars
      ·
      94K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Key Technologies for Business

      Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Security, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Computing, Artificial Intelligence, Generative AI, Data Ethics, OpenAI, Cloud Storage, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure As A Service (IaaS), Big Data, Emerging Technologies, Data Analysis, Data Science, Deep Learning, Digital Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      100K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Google AI Essentials

      Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Productivity Software, Artificial Intelligence, Data Ethics, Security Awareness, Business Workflow Analysis, Innovation, Automation, Workflow Management, Information Privacy, Human Computer Interaction, Content Creation, Natural Language Processing, Complex Problem Solving

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11K reviews

      Beginner · Course · 1 - 3 Months

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    1…567…834

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

    • English for Career Development: University of Pennsylvania
    • Foundations of Digital Marketing and E-commerce: Google
    • Prepare Data for Exploration: Google
    • Security in Google Cloud: Google Cloud
    • Preparing for Google Cloud Certification: Cloud DevOps Engineer: Google Cloud
    • Financial Markets: Yale University
    • Learn to Speak Korean 1: Yonsei University
    • Meta Social Media Marketing: Meta
    • Tools for Data Science: IBM
    • Foundations of Project Management: Google

    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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