Data Extraction Tips and Tricks
Robobunnyattack!
Course Summary
Learn how to use easy web scraping and harvesting tools to collect, scrape and extract information from websites.
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Course Description
By the end of this course, you'll be able to use a variety of data extraction tools with confidence, so you can save time and be more effective!WHAT'S INCLUDED?This course has over 2 hours of step-by-step videos and text lectures, along with links to helpful resources.HOW LONG WILL IT TAKE ME?The length of time it takes to complete this course depends on your availability and learning preference. You can power through all the video lectures all at once, or pace yourself over several days –– it's up to you!CAN I ASK QUESTIONS AND GET HELP?Yes! You can post your questions and discuss problems with your fellow students in the course dashboard.I'll also be personally checking in every week to answer questions and provide feedback. I look forward to meeting you!What am I going to get from this course?- Over 14 lectures and 2 hours of content!
- In this course, we'll walk through a series of handy data extraction tips and tricks
- We'll use real-world examples to learn how to create screenshots and print-friendly PDFs, pull data out of images using optical character recognition (OCR), extract tabular and non-tabular data from webpages, and automate online data retrieval tasks
- By the end of this course, you'll be able to use a variety of data extraction tools with confidence, so you can save time and be more effective!
What is the target audience?- Beginner and intermediate-level computer users
- Knowledge workers seeking to strengthen their data management skills
- Learners of all ages who want to REALLY understand how to work more effectively with data –– not just memorize a series of steps!
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Course Syllabus
- SECTION 1: Introduction
- SECTION 2: Screenshots and print-friendly PDFs
- SECTION 3: Optical Character Recognition (OCR)
- SECTION 4: Extracting tabular data from webpages
- SECTION 5: Extracting non-tabular data from webpages
- SECTION 6: Automating data retrieval
- SECTION 7: Conclusion
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Recommended Background
- A computer (Windows, Mac, or Linux) with Internet access
- Any modern web browser (Chrome, Firefox, Internet Explorer, Opera, or Safari)
- Any spreadsheet software, such as Microsoft Excel, LibreOffice, or OpenOffice
- Some basic computer skills (cutting and pasting text, saving files into folders)
- Some rudimentary spreadsheet skills (data entry, formatting)
- A desire to learn!
This course is listed under
Open Source
, Development & Implementations
, Data & Information Management
and Operating Systems
Community
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