Web Scraping APIs for Data Science 2021 | PostgreSQL+Excel

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Web Scraping APIs for Data Science 2021 PostgreSQL+Excel [TutsNode.com] - Web Scraping APIs for Data Science 2021 PostgreSQL+Excel 02 Fundamentals & Project # 1 - Beginner Level
  • 002 Fundamentals & Project # 1 (Part 1_2).mp4 (230.7 MB)
  • 006 Basics_and_Level_Beginner_Initial_Template_.ipynb (2.5 KB)
  • 006 Basics_and_Level_Beginner_Final_Template_.ipynb (54.7 KB)
  • 002 Fundamentals & Project # 1 (Part 1_2).en.srt (34.5 KB)
  • 003 Fundamentals & Project # 1 (Part 2_2).en.srt (20.2 KB)
  • 001 Install necessary libraries.en.srt (6.2 KB)
  • 003 Fundamentals & Project # 1 (Part 2_2).mp4 (119.1 MB)
  • 001 Install necessary libraries.mp4 (33.9 MB)
03 Project # 2 - Intermediate Level
  • 010 Level_Intermediate_Final_Template_.ipynb (196.7 KB)
  • 010 Level_Intermediate_Initial_Template_.ipynb (4.2 KB)
  • 004 Extract Data from Multiple Pages + Excel.mp4 (189.5 MB)
  • 004 Extract Data from Multiple Pages + Excel.en.srt (27.7 KB)
  • 001 Project Overview & Understanding the website's API.en.srt (17.5 KB)
  • 003 Extract Data from Single Page.en.srt (18.8 KB)
  • 002 Find the necessary Data.en.srt (13.0 KB)
  • 001 Project Overview & Understanding the website's API.mp4 (121.9 MB)
  • 003 Extract Data from Single Page.mp4 (119.7 MB)
  • 002 Find the necessary Data.mp4 (91.2 MB)
04 Project # 3 - BONUS SECTION -Infinite Scroll Website - Intemediate Level
  • 014 Bonus_Level_Intermediate_Infinite_Scroll_Final_Template_ .ipynb (64.2 KB)
  • 014 Bonus_Level_Intermediate_Infinite_Scroll_Initial_Template_.ipynb (3.3 KB)
  • 001 Project Overview & Requests.mp4 (184.8 MB)
  • 003 Extract Data from One Page.en.srt (22.7 KB)
  • 001 Project Overview & Requests.en.srt (21.8 KB)
  • 004 Extract Data from 10 Pages.en.srt (21.0 KB)
  • 004 Extract Data from 10 Pages.mp4 (140.3 MB)
  • 002 Find your Data.en.srt (19.2 KB)
  • 002 Find your Data.mp4 (137.3 MB)
  • 003 Extract Data from One Page.mp4 (129.8 MB)
01 Introduction
  • 002 Addition to Course Overview.html (1.2 KB)
  • 003 Before you start.html (1.8 KB)
  • 001 Course Overview & Introduction.en.srt (7.3 KB)
  • 001 Course Overview & Introduction.mp4 (49.5 MB)
05 Project #4 - Advanced Level Project + PostgreSQL
  • 001 Project Overview.en.srt (2.2 KB)
  • 023 Level_Advanced_Initial_Template.ipynb (16.6 KB)
  • 002 New York Data - Set Up & Python Request.en.srt (14.6 KB)
  • 009 Connect Jupyter Notebook with PostgreSQL & Run SQL - Commands.en.srt (14.6 KB)
  • 005 New York Data - Extract 5000 results.en.srt (13.7 KB)
  • 006 San Francisco Data - Extract 5000 results.en.srt (12.6 KB)
  • 004 New York Data - Extract Data from One Page.en.srt (11.4 KB)
  • 003 New York Data - Find your Data.en.srt (11.2 KB)
  • 007 Combine Dataframes & Excel.en.srt (8.0 KB)
  • 008 Install PostgreSQL.en.srt (6.7 KB)
  • 002 New York Data - Set Up & Python Request.mp4 (105.2 MB)
  • 005 New York Data - Extract 5000 results.mp4 (99.3 MB)
  • 006 San Francisco Data - Extract 5000 results.mp4 (95.2 MB)
  • 009 Connect Jupyter Notebook with PostgreSQL & Run SQL - Commands.mp4 (86.0 MB)
  • 003 New York Data - Find your Data.mp4 (69.3 MB)
  • 004 New York Data - Extract Data from One Page.mp4 (58.6 MB)
  • 007 Combine Dataframes & Excel.mp4 (45.7 MB)
  • 008 Install PostgreSQL.mp4 (32.9 MB)
  • 001 Project Overview.mp4 (8.3 MB)
  • 023 Level_Advanced_Final_Template.ipynb (1.4 MB)
  • TutsNode.com.txt (0.1 KB)
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Description


Description

In this course the students will get to know how to scrape data from the API of a website (if available). We start with the fundamentals and the beginner level project. After that, two different projects will be covered, followed by the advanced project. After scraping data of wach project, the results will be stored inside an Excel file. Within the advanced level project we will create two dofferent datasets with 5000 results each. The goal is to merge both dataframes (total: 10000 results), save it in Excel and output the data in the PostgreSQL database and run SQL commands on our own data.

The requirement for this course is basic knowledge of Python Programming. Since we will not cover very difficult Python topics you do not have to be a professional. The most important characteristic is that you are curious about Web Scraping and Data Mining. You should be ready to invest time in gaining the knowledge which is taught in this course.

After this course you will have the knowledge and the experience to scrape your own data and create your own dataset. With the help of the course resources you will always have documents you can refer to. If you have a question or if a concept just does not make sense to you, you can ask your questions anytime inside the Q&A – Forum. Either the instructor or other students will answer your question. Thanks to the community you will never have the feeling to learn alone by yourself.
Who this course is for:

Data Enthusiasts who want to create their own datasets

Requirements

basic understanding of Python programming

Last Updated 8/2021



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Web Scraping APIs for Data Science 2021 | PostgreSQL+Excel

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2.1 GB
seeders:24
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Web Scraping APIs for Data Science 2021 | PostgreSQL+Excel

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