░ ░▒▒▒▓▓█████▌░░ University of OXford & University of camBRiDGE ░░▐████▓▓▒▒▒░ ░
▄▄██▓▄ ▐███▌ ████▐███████▓▄ █████████▄ ▐███▌██████▓▄▄ ▄▄▓████▓ ▐████████
▄████████████ ▐███▌▐███▌▀████▌████▌ ▀███▓ ▀▀▀ ███▓▀▀████ ▄▓███▀ ▐███▓▀▀▀
▐███▀ ▀███▀███▓▄███▀ ▐███ ▄███▀▐███▓ ▄████▀▐███▌███▓ ███▓████ ▓███▌
███▌ ▐██▌ ▀████▀ ▓███████▄▄▐████████▓▄ ▐███▓███▓ ▐██████▌ ▀█████▓██████▓
████▄ ▄███▄▄███▀███▓ ████ ▀███▓███▓ ▀████▌████▐███▌ ███████▓ ▓██████▌
▐████████▀████▌ ███████▌ ▄███████▌ ████████▓███▌▄▄███▓▀█████▄▄████▓███▄▄▄▄▄
▀▀▓██▀▀ ▐████ ▐███▓████████▓▀████▌ ▐███████████████▓▀▀ ▀▀▓████▀▀░▓███████▌
...is a collective term for characteristics that the two institutions share.
·-- PUBLISHED -----·> Packt Publishing
·-- LECTURESHIP ---·> Learning Path: Python: Effective Data Analysis
Using Python
·-- LECTURE DATE --·> 05-2017
04-2017 {Published}
·-- LEVEL ---------·> [ ] Starting {Beginner|Newcomer}
[■] Progressing {Intermediate|Advanced}
·-- PERIOD in HRS--·> 11+
·-- SCALE ---------·> 56x50mb
·-- LECTURE LINK --·> https://goo.gl/ql58fG
This path navigates across the following products
(in sequential order):
Learning Python Data Analysis (5h 55m)
Getting Started with Python Web Scraping (1h 36m)
Python Data Visualization Solutions (3h 27m)
Data analysis as we know it is the process taking the source data,
refining it to get useful information, and then making useful
predictions from it.
Python features numerous numerical and mathematical toolkits such as:
Numpy, Scipy, Scikit learn and SciKit, all used for data analysis and
machine learning. With the aid of all of these, Python has become the
language of choice for data scientists for data analysis, visualization,
and machine learning.
We will have a general look at data analysis and then then discuss the
Web scraping tools and techniques in detail. We will show a rich
collection of recipes that will come in handy when you are scraping a
website using Python, addressing your usual and unusual problems while
scraping websites by diving deep into the capabilities of PythonÆs web
scraping tools such as Selenium, BeautifulSoup, and urllib2.
We will then discuss the visualization best practices. Effective
visualization helps you get better insights from your data, and help you
make better and more informed business decisions.
After completing this Learning Path, you will be well-equipped to
extract data even from dynamic and complex websites by using Python web
scraping tools, and get a better understanding of the data visualization
concepts, how to apply them, and how you can overcome any challenge
while implementing them.