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    • Web Scraping

    Web Scraping Courses Online

    Study web scraping techniques for data collection. Learn to extract and process data from websites using Python libraries.

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    Explore the Web Scraping Course Catalog

    • Placeholder
      U

      University of Michigan

      Using Python to Access Web Data

      Skills you'll gain: Web Scraping, JSON, Network Protocols, Web Services, Restful API, Application Programming Interface (API), Extensible Markup Language (XML), Data Import/Export, TCP/IP, Python Programming, Hypertext Markup Language (HTML), Data Manipulation, Data Structures, Software Installation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      44K reviews

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      Web Scraping with Python

      Skills you'll gain: Web Scraping, Extensible Markup Language (XML), Web Development Tools, Data Capture, Scripting, HTML and CSS, Unstructured Data, Web Applications

      3.2
      Rating, 3.2 out of 5 stars
      ·
      17 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Scrape and analyze data analyst job requirements with Python

      Skills you'll gain:

      3.2
      Rating, 3.2 out of 5 stars
      ·
      13 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      41K reviews

      Beginner · Course · 1 - 3 Months

    • M

      Meta

      Meta Back-End Developer

      Skills you'll gain: Django (Web Framework), Full-Stack Web Development, Version Control, Restful API, Data Structures, Unix Commands, Bootstrap (Front-End Framework), Git (Version Control System), Back-End Web Development, GitHub, Web Design and Development, Relational Databases, Front-End Web Development, Object Oriented Programming (OOP), Database Management Systems, SQL, Database Design, Unit Testing, Algorithms, Web Development

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.1K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • M

      Meta

      Meta Front-End Developer

      Skills you'll gain: Jest (JavaScript Testing Framework), Version Control, User Research, UI/UX Research, Usability Testing, Responsive Web Design, Cascading Style Sheets (CSS), Data Structures, Unix Commands, HTML and CSS, Git (Version Control System), Persona (User Experience), GitHub, Interaction Design, Bootstrap (Front-End Framework), React.js, Mobile Development, Front-End Web Development, Algorithms, Web Development Tools

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      22K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      C

      Coursera Project Network

      Web Scraping With GPT: Translate Foreign News Headlines

      Skills you'll gain: Web Scraping, Real Time Data, OpenAI, Natural Language Processing, Python Programming, Web Applications, Application Development, Artificial Intelligence

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      Status: AI skills
      AI skills
      I

      IBM

      IBM Full Stack Software Developer

      Skills you'll gain: Istio, Node.JS, Software Development Life Cycle, Unit Testing, Object-Relational Mapping, Cloud Computing Architecture, Server Side, Application Deployment, React Redux, Kubernetes, Cloud Services, OpenShift, Git (Version Control System), Cloud Applications, Full-Stack Web Development, HTML and CSS, Cloud Computing, Jupyter, Generative AI, Interviewing Skills

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      54K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      U

      University of Michigan

      Python for Everybody

      Skills you'll gain: Web Scraping, Data Processing, Relational Databases, JSON, Database Design, SQL, Network Protocols, Databases, Web Services, Restful API, Programming Principles, Data Cleansing, Data Structures, Data Storytelling, Data Collection, Computer Programming, Python Programming, Data Manipulation, Development Environment, Computational Thinking

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      277K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      A

      Amazon Web Services

      AWS Cloud Solutions Architect

      Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Data Lakes, Amazon DynamoDB, Amazon Web Services, Serverless Computing, Cloud Computing, Amazon S3, Scalability, Cloud Infrastructure, Amazon Elastic Compute Cloud, Event-Driven Programming, Cloud Security, Solution Architecture, Data Visualization, Cloud Computing Architecture, Cloud Solutions, Data Architecture, Amazon Redshift, Software Architecture

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.5K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Placeholder
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Engineering

      Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Jupyter, Generative AI, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      I

      IBM

      Python Project for Data Science

      Skills you'll gain: Dashboard, Pandas (Python Package), Data Visualization Software, Web Scraping, Jupyter, Data Analysis, Data Science, Data Processing, Data Manipulation, Python Programming, Data Collection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4.6K reviews

      Intermediate · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular web scraping courses

    • Using Python to Access Web Data: University of Michigan
    • Web Scraping with Python: Duke University
    • Scrape and analyze data analyst job requirements with Python: Coursera Project Network
    • Python for Data Science, AI & Development: IBM
    • Meta Back-End Developer: Meta
    • Meta Front-End Developer: Meta
    • Web Scraping With GPT: Translate Foreign News Headlines: Coursera Project Network
    • IBM Full Stack Software Developer: IBM
    • Python for Everybody: University of Michigan
    • AWS Cloud Solutions Architect: Amazon Web Services

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Web Scraping

    Web Scraping is the process of extracting large amounts of data from websites. The Web Scraper either saves them to their computer or transfers them to a spreadsheet. It automates the process of manually copying and pasting data that is made viewable through a web browser.

    While Data Analysts have the ability to obtain increasingly rich data sources, they are limited by ways in which that data can be accessed and used. Web Scraping is important to learn so these Analysts can quickly and efficiently capture data from various sources in order to discover insights and make decisions.‎

    Web Scraping services are in-demand thanks to the sophisticated technical skills required to get it done. Because organizations are seeing how effective data analysis can help their business grow, the demand for Web Scraping is expected to increase. Some industries that have the highest demand for Web Scraping include e-commerce, media, website creation, real estate, and others.

    Some titles associated with Web Scraping include Data Scientist, Web Developer, Web Collection Specialist, Research Assistant, Application Developer, Web Mining Developer, Site Merchandiser, Market Intelligence Analyst, and of course, Web Scraper. In the U.S., Web Scraping can earn learners an average of $79,018 per year, according to ZipRecruiter.‎

    Web Scraping courses offered through Coursera equip learners with knowledge in treating the internet as a source of data; working with HTML, XML, and JSON data formats in Python; using Python to access web data; getting and cleaning data; and more.

    Lessons on Web Scraping are taught by instructors from major tech names and universities, including University of Michigan, John Hopkins University, and other organizations. Learners can enjoy exploring Web Scraping with instructors specializing in Programming, Biostatistics, Database Design, Web Development, and other disciplines. Course content on Web Scraping is delivered via video lectures, hands-on projects, readings, quizzes, and other types of assignments.‎

    You'll need to understand and have experience using some programming languages before starting to learn web scraping. The most common language used in scraping is Python because it can handle all aspects of data extraction. Other languages you may need to be able to use before beginning your studies include Node.js, Ruby, C++, and PHP. You should also have experience using HTML and CSS.‎

    If you're pursuing a career in Big Data analytics, machine learning, or artificial intelligence, learning web scraping is likely for you since these industries involve compiling large datasets, which web scraping is an integral part of. Industries that have the highest demand for people with web scraping skills are computer software, IT, and financial services, in particular jobs like data engineers, data scientists, and IT architects. If you are an analytical thinker, organized, and enjoy working with data, learning web scraping may be a good match for you.‎

    People who are detail-oriented and enjoy focusing on the detail of work more than the big picture are well suited for roles in web scraping. Those who are innovative and look for unconventional, creative ways to accomplish a task also fit well into web scraping roles. Other people who are suited for roles in web scraping are those who enjoy data and technology, are adaptable and flexible, and aren't bothered by a high-pressure environment.‎

    Topics related to web scraping that you can study include programming languages—especially Python—scripting, using Excel spreadsheets, and social media data analytics. You may enjoy studying research skills, the history of the internet, search engine optimization, search engine functions, and internet security topics.‎

    Online Web Scraping courses offer a convenient and flexible way to enhance your knowledge or learn new Web Scraping skills. Choose from a wide range of Web Scraping courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Web Scraping, 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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