Course curriculum

    1. Segment - 01 - Introduction

    2. Segment - 02 - Python Installation

    3. Segment - 03 - Start With Google Colaboratory Environment

    4. Segment - 04 - Google Colabs and GPU

    5. Segment - 05 - Google Colab Packages

    1. Segment - 06 - Mount Your Drive

    2. Segment - 07 - Opening a Jupyter Notebook

    3. Segment - 08 - Accessing Data Within the Drive

    4. Segment - 09 - Upload Data From a Local Drive

    5. Segment - 10 - Install New Packages

    1. Segment - 11 - What is Webscraping?

    2. Segment - 12 - Lets Rummage Inside a Webpage

    3. Segment - 13 - What is HTML?

    4. Segment - 14 - Accessing the Different HTML Components

    1. Segment - 15 - Shall We Start With Soup?

    2. Segment - 16 - Simple Webscraping-Parse in an HTML

    3. Segment - 17 - Another Way of Reading in HTML Webpages

    4. Segment - 18 - Tackling Tables-Part 1

    5. Segment - 19 - When We Have More Than 1 Table

    6. Segment - 20 - Extract Tables Into Pandas - Part 1

    7. Segment - 21 - Extract Tables Into Pandas - Part 2

    8. Segment - 22 - A Quicker Way to Extract Tabular Data

    9. Segment - 23 - Get Table Names

    10. Segment - 24 - Pandas and HTML Tables

    1. Segment - 25 - Scrape a Simple Non-Wiki Table

    2. Segment - 26 - A Ghastly Wiki Table

    3. Segment - 27 - IPO Listings

    4. Segment - 28 - Making the IPO Listings Usable

    5. Segment - 29 - Some Housekeeping

    6. Segment - 30 - Hello to Airbnb

    7. Segment - 31 - Exploring Amazon Bestsellers

    8. Segment - 32 - Extract Amazon Bestsellers in a Dataframe

    9. Segment - 33 - Mumbai House Prices

    1. Segment - 34 - What Are Pandas?

    2. Segment - 35 - Basic Data Cleaning With Pandas

    3. Segment - 36 - Cleaning the Scraped Data

    4. Segment - 37 - String Manipulation To Get a Neater Table

    5. Segment - 38 - Another Way of Tweaking

    6. Segment - 39 - More Data Cleaning - Part 1

    7. Segment - 40 - More Data Cleaning - Part 2

    8. Segment - 41 - Geocoding the London Boroughs

    9. Segment - 42 - Exporting Data

    10. Segment - 43 - Fuzzy Strings

    11. Segment - 44 - Basic Housekeeping Prior To Fuzzy Joining

    12. Segment - 45 - Let's Get Fuzzy

    13. Segment - 46 - Merge Datasets Based on Geolocations

About this course

  • Free
  • 49 lessons
  • 5 hours of video content