Web Scraping APIs for Data Science 2021 - PostgreSQL+Excel

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Free Download Web Scraping APIs for Data Science 2021 - PostgreSQL+Excel
Last updated 2/2023
Created by Dr. Alexander Schlee
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 24 Lectures ( 4h 25m ) | Size: 2.22 GB

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
Requirements
basic understanding of Python programming
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.Disclaimer : I teach web scraping as a tutor for educational purposes. That's it. The first rule of scraping the web is: do not harm a certain website. The second rule of web crawling is: do NOT harm a certain website.
Who this course is for
Data Enthusiasts who want to create their own datasets
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2.22 GB | 00:27:50 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​

Files Included :

Spoiler

1 -Course Overview & Introduction (53.52 MB)
1 -Install necessary libraries (36.58 MB)
2 -Fundamentals & Project # 1 (Part 12) (248.46 MB)
3 -Fundamentals & Project # 1 (Part 22) (124.91 MB)
1 -Project Overview & Understanding the website's API (126.29 MB)
2 -Find the necessary Data (94.75 MB)
3 -Extract Data from Single Page (125.44 MB)
4 -Extract Data from Multiple Pages + Excel (203.45 MB)
1 -Project Overview & Requests (197.38 MB)
2 -Find your Data (148.21 MB)
3 -Extract Data from One Page (135.29 MB)
4 -Extract Data from 10 Pages (152.31 MB)
1 -Project Overview (10.05 MB)
2 -New York Data - Set Up & Python Request (108.38 MB)
3 -New York Data - Find your Data (73.19 MB)
4 -New York Data - Extract 5000 results (61.92 MB)
5 -San Francisco- Find your Data (103.18 MB)
6 -San Francisco Data - Extract 5000 results (99.79 MB)
7 -Combine Dataframes & Excel (47.7 MB)
8 -Install PostgreSQL (35.43 MB)
9 -Connect Jupyter Notebook with PostgreSQL & Run SQL - Commands (90.18 MB)

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Web Scraping APIs for Data Science 2021 | PostgreSQL+Excel
Duration: 4h 22m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.09 GB
Genre: eLearning | Language: English​

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

Requirements:
basic understanding of Python programming

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

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