Python Webscraping For Information Retrieval and Analytics (Udemy.com)
Retrieve Information from Webpages Using Python and Google CoLab for Analytics and Insights
Created by: Minerva Singh
Last updated November 2024
What you will learn
- Be Able To Use the Python Within Google CoLab For Practical Data Science
- Webpage Basics
- Scraping Common Wikipedia Pages For Information
- Scaping Complicated Webpages For Information Using BeautifulSoup (A Common Python Library)
- Basic Geocoding
- Data Processing and Cleaning To Extract Information From The Scraped Data
- Analysing the Scraped and Cleaned Data For Actionable Insights
- Data Visualization
- Work With Practical Examples- (a) Geocoding London's Boroughs (b) Obtain Apartment Prices For Mumbai (c) Extract Amazon Reviews
How it compares
Against the other 815 rated Udemy courses in Web Development on CourseDuck:
- Rating4.3 out of 5higher than 21% of them
- Reviews98#658 of 816 by number of reviews
- Length5.2 hoursshorter than 60% of them
- Last updatedNovember 2024earlier than 51% of them
Course Description
ENROLL IN MY LATEST COURSE ON HOW TO LEARN ALL ABOUT PYTHON WEB SCRAPING FOR INFORMATION RETRIEVAL & ANALYTICS
Do you want to harness the power of the internet to inform your data-driven strategies?
Are you looking to gain an edge in the fields of retail, online selling, real estate and geolocation services?
Do you want to turn unstructured data from articles and web pages into real insights?
Do you want to develop cutting edge analytics and visualisations to take advantage of the World Wide Web?
Gaining proficiency in webscraping (and associated analytics) can help you harness the power of the freely available data and information on the world wide web and turn it into actionable insights
MY COURSE IS A HANDS-ON TRAINING WITH REAL WEBSCRAPING EXAMPLES- You will learn to use an important Python webscraping library BeautifulSoup and derive information and insights from different webpages
My course provides a foundation to carry out PRACTICAL, real-life webscraping. By taking this course, you are taking an important step forward in your data science journey to become an expert in harnessing the power of the world wide web for deriving insights.
Why Should You Take My Course?
I have an MPhil (Geography and Environment) from the University of Oxford, UK. I also completed a data science intense PhD at Cambridge University (Tropical Ecology and Conservation).
I have several years of experience in analyzing real-life data from different sources and producing publications for international peer-reviewed journals.
This course will help you gain fluency both in BeautifulSoup (for webscraping), web-data processing and analytics using a powerful clouded based python environment called GoogleColab. Specifically, you will
Gain proficiency in setting up and using Google CoLab for Python Data Science tasks
Carry out common webscraping tasks on Wikepedia pages and extract relevant information
Work with complicated web pages and extract information
Process the extracted information in a usable form
Carry out basic geocoding
Carry out common analytics and visualization tasks
You will work on practical mini case studies relating to (a) geocoding London boroughs (b) quantifying the variation in Mumbai property prices (c) extracting financial statements among others
In addition to all the above, you’ll have MY CONTINUOUS SUPPORT to make sure you get the most value out of your investment!
ENROLL NOW :)
Instructor Details
- 4.3 Rating
98 Reviews
Minerva Singh
I completed a PhD (University of Cambridge, UK) in 2017 where I focussed on implementing data science techniques for quantifying the impact of forest loss on tropical ecosystems. I hold an MPhil (School of Geography and Environment) and an MSc (Department of Engineering) from Oxford University. I have more than 10 year's experience in conducting academic research (published in high level peer-reviewed international scientific journals such as PLOS One) and advising both non-governmental and industry stakeholders in data science, deep learning and earth observation (EO) related topics.
I have a strong track record in implementing machine learning, data visualization, spatial data analysis, deep learning and natural language processing tasks using both R and Python. In addition to being educated at the best universities in the world, I have honed my statistical and data analysis skills through many MOOCs, including The Analytics Edge (R based statistics and machine learning course offered by EdX), Statistical Learning (R-based Machine Learning course offered by Stanford online) and the IBM Data Science Professional certificate Track. I specialise in a variety of topics ranging from deep learning (Tensorflow, Keras) to machine learning to spatial data analysis (including EO data processing), data visualizations, natural language processing, financial analysis among others. I have acted as a peer reviewer on highly
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Reviews
By Shashank Srivastava on 11/28/2025
Not as per expectation.Very basic things were taught and not meed requirement.
By Lovro Corak on 5/26/2025
This course was interesting and engaging. It made me work along the mentor and had fun examples. Only thing that bothered me was that videos towards the end had worse quality even tho it was set at 720p.
By Naresh Kulunge on 1/9/2024
All codes needs to be revised and run. These codes don't work currently at most sections. Due to this it can considered not so good experience.
By George Camara on 10/18/2023
This is an AMAZING course. It is just what I was looking for. It is very complete, very informative, and direct to the point. You can tell the Professor is an expert in the field. In summary, it is a Gem on its own. I have learned quite a lot. I highly recommend it.
By Raveena Sarkar on 11/7/2021
This is the best course I have come across regarding information retrieval and analytics using Python. The course has vast opportinities for practical usage. The instructor is brilliant in explaining even the minutest details of the concept.
By Raj Kumar Majumdar on 9/20/2021
This is a very useful course for webscraping for data retrieval and analysis using Python. The concept will make significant contribution to my work. The instructor is well-versed with the minutest details of the subject and her delivery is engaging.
By Rishilal Yadav on 8/3/2021
The course contains important tools for retrieval of information from webpages for insight and analysis. The concept has tremendous opportunities for practical use. The instructor has full command over the subject and is very articulate through the lectures.
By Rajesh Kumar on 7/27/2021
This is hand-on course for me which contains valuable information.I will certainly apply the concept to my work which will enhance the quality of my work manifold. the instructor is exceptional in her knowledge of the subject and her delivery.
By RKM singh on 7/16/2021
Python webscraping for information retrieval and analytics is immensely useful and valuable course which has unlimited potential for practical use. I discern great possibility of the use of this concept in my work. The instructor is simply brilliant in her espousal of the concept.
By Anonymized User on 5/7/2021
Ideal course for information retrieval and analytics. Very interesting methods have been elaborated in a simple and effective way. The instructor has capability of keeping engrossed through the lectures.
Quality Score
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Overall Score : 86 / 100












