4.19 (25 reviews)
☑ 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
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 :)
Welcome to the Course
Data and Code
Start With Google Colaboratory Environment
Google Colabs and GPU
Google Colab Packages
Get Your Data Into Google Drive
Mount Your Drive
Opening a Jupyter Notebook
Accessing Data Within the Drive
Upload Data From a Local Drive
Install New Packages
Welcome to the Web
What is Webscraping?
Lets Rummage Inside a Webpage
What is HTML?
Accessing the Different HTML Components
Let's Start Scraping
Shall We Start With Soup?
Simple Webscraping-Parse in an HTML
Another Way of Reading in HTML Webpages
Tackling Tables-Part 1
When We Have More Than 1 Table
Extract Tables Into Pandas-Part1
Extract Tables Into Pandas-Part2
A Quicker Way to Extract Tabular Data
Get Table Names
Pandas and HTML Tables
Lets Scrape Some Non-Wikipedia Pages
Scrape a Simple Non-Wiki Table
A Ghastly Wiki Table
Making the IPO Listings Usable
Hello to Airbnb
Exploring Amazon Bestsellers
Extract Amazon Bestsellers in a Dataframe
Mumbai House Prices
Preprocessing and Cleaning the Scraped Data
What Are Pandas?
Basic Data Cleaning With Pandas
Cleaning the Scraped Data
String Manipulation To Get a Neater Table
Another Way of Tweaking
More Data Cleaning-Part1
More Data Cleaning-Part2
Geocoding the London Boroughs
Basic Housekeeping Prior To Fuzzy Joining
Let's Get Fuzzy
Merge Datasets Based on Geolocations
Analytics and Visualization- Some Examples
Data Visualization Concepts
Explore the IPOs
Quickly Scour The Mumbai Real Estate Trends
Awesome course, would like everyone to enroll to this course. The examples given are practical and help the learner to understand concept better.
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.
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.
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.
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.
Not for absolute beginners but very through resource for web scraping. The practical examples are really great