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    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

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Web Scraping, Relational Databases, Stored Procedure, Databases, Automation, Data Science, GitHub, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      72K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Digital Marketing

      Skills you'll gain: Data Storytelling, Online Advertising, Marketing Analytics, Keyword Research, Digital Media Strategy, Email Marketing, Digital Advertising, Google Analytics, Analytics, Marketing Communications, Content Marketing, Social Media Marketing, Marketing, Digital Marketing, Web Analytics, Marketing Strategies, Integrated Marketing Communications, Performance Analysis, Trend Analysis, Consumer Behaviour

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      California Institute of the Arts

      UI / UX Design

      Skills you'll gain: Information Architecture, Wireframing, Persona (User Experience), Mockups, User Experience Design, Responsive Web Design, Web Design, UI/UX Strategy, User Interface (UI) Design, User Centered Design, Interaction Design, Prototyping, Graphic and Visual Design, User Research, Web Language, HTML and CSS, User Flows, Design Elements And Principles, Human Computer Interaction, Typography

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Key Technologies for Business

      Skills you'll gain: Cloud Computing Architecture, Cloud Services, Large Language Modeling, Artificial Intelligence, Cloud Security, Cloud Technologies, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Hosting, Cloud Engineering, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Big Data, ChatGPT, Cloud Computing, Data Analysis, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      101K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Introduction to Web Development

      Skills you'll gain: GitHub, HTML and CSS, Git (Version Control System), Microsoft Copilot, Web Development, Web Content Accessibility Guidelines, Responsive Web Design, Javascript, Front-End Web Development, JSON, Semantic Web

      3.4
      Rating, 3.4 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Engineering Foundations

      Skills you'll gain: Web Scraping, Database Design, SQL, MySQL, Data Transformation, Data Store, Extract, Transform, Load, IBM DB2, Relational Databases, Data Architecture, Jupyter, Data Pipelines, Big Data, Data Warehousing, Data Governance, Data Manipulation, Stored Procedure, Databases, Automation, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      56K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Data Analytics with Excel and R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Relational Databases, Big Data, Data Visualization Software, Ggplot2, Database Design, Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Presentation, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Data Engineers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, OpenAI, Snowflake Schema, Star Schema, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Large Language Modeling, Data Synthesis, Artificial Intelligence, Program Development, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Query Languages, Data Cleansing, Data Visualization Software, GitHub, Business Analysis, Cloud Computing, Data Analysis, Digital Transformation, R Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      99K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Software Developers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Large Language Modeling, Data Ethics, OpenAI, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, Application Security, CI/CD, Natural Language Processing, Code Review, Program Development, Software Architecture, Content Creation, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Visualization, Predictive Modeling, Interactive Data Visualization, Exploratory Data Analysis, Data Wrangling, Data Analysis, Jupyter, Matplotlib, Pandas (Python Package), Seaborn, Data Presentation, Data Import/Export, Web Scraping, Automation, Data Science, Data-Driven Decision-Making, Python Programming

      Build toward a degree

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Attract and Engage Customers with Digital Marketing

      Skills you'll gain: Search Engine Marketing, Search Engine Optimization, Google Ads, Online Advertising, Target Audience, Digital Marketing, Digital Advertising, Persona Development, Web Analytics and SEO, Keyword Research, Pay Per Click Advertising, Marketing, Customer Engagement, Customer Acquisition Management, Advertising, Marketing Strategies, Lead Generation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7K reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Data Science Fundamentals with Python and SQL: IBM
    • Digital Marketing: University of Illinois Urbana-Champaign
    • UI / UX Design: California Institute of the Arts
    • Key Technologies for Business: IBM
    • Introduction to Web Development: Microsoft
    • Data Engineering Foundations: IBM
    • IBM Data Analytics with Excel and R: IBM
    • Generative AI for Data Engineers: IBM
    • Introduction to Data Science: IBM
    • Generative AI for Software Developers: IBM

    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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