Web Scraping APIs for Data Science 2021 PostgreSQL + Excel

seeders: 0
leechers: 2
Added 5 years ago by freecoursewb in Other

Download Fast Safe Anonymous
movies, software, shows...

Files

Web Scraping APIs for Data Science 2021 PostgreSQL + Excel (Size: 2.1 GB)
  001 Course Overview & Introduction.en.srt 7.3 KB
  001 Course Overview & Introduction.mp4 49.5 MB
  001 Install necessary libraries.en.srt 6.2 KB
  001 Install necessary libraries.mp4 33.9 MB
  001 Project Overview & Requests.en.srt 21.8 KB
  001 Project Overview & Requests.mp4 184.8 MB
  001 Project Overview & Understanding the website's API.en.srt 17.5 KB
  001 Project Overview & Understanding the website's API.mp4 121.9 MB
  001 Project Overview.en.srt 2.2 KB
  001 Project Overview.mp4 8.3 MB
  002 Addition to Course Overview.html 1.2 KB
  002 Find the necessary Data.en.srt 13 KB
  002 Find the necessary Data.mp4 91.2 MB
  002 Find your Data.en.srt 19.2 KB
  002 Find your Data.mp4 137.3 MB
  002 Fundamentals & Project # 1 (Part 1_2).en.srt 34.5 KB
  002 Fundamentals & Project # 1 (Part 1_2).mp4 230.7 MB
  002 New York Data - Set Up & Python Request.en.srt 14.6 KB
  002 New York Data - Set Up & Python Request.mp4 105.2 MB
  003 Before you start.html 1.8 KB
  003 Extract Data from One Page.en.srt 22.7 KB
  003 Extract Data from One Page.mp4 129.8 MB
  003 Extract Data from Single Page.en.srt 18.8 KB
  003 Extract Data from Single Page.mp4 119.7 MB
  003 Fundamentals & Project # 1 (Part 2_2).en.srt 20.2 KB
  003 Fundamentals & Project # 1 (Part 2_2).mp4 119.1 MB
  003 New York Data - Find your Data.en.srt 11.2 KB
  003 New York Data - Find your Data.mp4 69.3 MB
  004 Extract Data from 10 Pages.en.srt 21 KB
  004 Extract Data from 10 Pages.mp4 140.3 MB
  004 Extract Data from Multiple Pages + Excel.en.srt 27.7 KB
  004 Extract Data from Multiple Pages + Excel.mp4 189.5 MB
  004 New York Data - Extract Data from One Page.en.srt 11.4 KB
  004 New York Data - Extract Data from One Page.mp4 58.6 MB
  005 New York Data - Extract 5000 results.en.srt 13.7 KB
  005 New York Data - Extract 5000 results.mp4 99.3 MB
  006 Basics_and_Level_Beginner_Final_Template_.ipynb 54.7 KB
  006 Basics_and_Level_Beginner_Initial_Template_.ipynb 2.5 KB
  006 San Francisco Data - Extract 5000 results.en.srt 12.6 KB
  006 San Francisco Data - Extract 5000 results.mp4 95.2 MB
  007 Combine Dataframes & Excel.en.srt 8 KB
  007 Combine Dataframes & Excel.mp4 45.7 MB
  008 Install PostgreSQL.en.srt 6.7 KB
  008 Install PostgreSQL.mp4 32.9 MB
  009 Connect Jupyter Notebook with PostgreSQL & Run SQL - Commands.en.srt 14.6 KB
  009 Connect Jupyter Notebook with PostgreSQL & Run SQL - Commands.mp4 86 MB
  010 Level_Intermediate_Final_Template_.ipynb 196.7 KB
  010 Level_Intermediate_Initial_Template_.ipynb 4.2 KB
  014 Bonus_Level_Intermediate_Infinite_Scroll_Final_Template_ .ipynb 64.2 KB
  014 Bonus_Level_Intermediate_Infinite_Scroll_Initial_Template_.ipynb 3.3 KB
  023 Level_Advanced_Final_Template.ipynb 1.4 MB
  023 Level_Advanced_Initial_Template.ipynb 16.6 KB
  Bonus Resources.txt 307.2 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 54 total files

Description


Web Scraping APIs for Data Science 2021 | PostgreSQL+Excel



Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.09 GB | Duration: 4h 22m
From Beginner to Advanced | 4 Hands-On Projects
What you'll learn
web scraping
data extraction
data mining
create your own dataset
output data in Excel
output your dataframe in PostgreSQL
run SQL commands on your dataframe

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.

Related Torrents

torrent name size uploader age seed leech
97
2
1
2
2