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Summary Data Analytics 2023 basics

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Data Analytics Intro!

Data analytics is a highly in demand field as organizations of all sizes and industries are looking to gain
insight from their data to make better decisions and improve their operations. the demand for data
analytics professionals is expected to grow at a rate of 18 percent. In the next few years. the field has
gained a lot of popularity in terms of number because it lets you gather it an insights generate reports
and also improve business requirement. data analytics refers to the techniques to analyze the data to
enhance the productivity and business gain Data is extracted from various sources and is categorized to
analyze different behavior patterns.. the job of a data analyst is to retrieve or fetch data and clean it and
analyze it to conclude meaningful insights for the company 's business and strategize. Accordingly. as
per the job description of Jpmorgan. The requirement for a data analyst is qualifications of SqL, Python
Python R Alterx data tool Tableau Hadoop big data and relational database as well. in Ernst Young. They
require qualification of Python or R coding as well like we saw in the job descriptions of Jpmorgan and
even a knowledge of neural networks. Deep learning Ai..
Python has all these libraries that we can use for data extraction.. request library is a python library
written by Kenneth writes and is light-sensed under Apache 2. 0. O. Scrappy is a free and open-source
web crawling framework written in Python and it was originally designed to perform web scraping, but
can be used for extracting data using Apis.. Scrappy is basically a Python library before pulling the data
out of Html and Html files, so it works with your favorite parser to provide idiomatic ways of navigating
searching and modifying the pass tree.. The first demo is about extracting the data from a Pdf file. So for
this we will use the Pi Pdf 2 library in Python. we're going to use this while working on web scraping
using the beautiful soup. scrapey because it is a different tutorial altogether and we have a full tutorial.
On scrappy? How to scrape data using scrapey. we have one more program which is going to be about
extracting the data using an Api..
Url is basically http dot Api open weather map. org, so I 'll open the Url for you guys just open where the
map is and we are going to get the current data or the current weather data. to call this we have to use
this Api call in which we have a city name and our Api key. The Api key is unique for everybody. Api is a
computing interface to a software component or a system that defines how other components or
systems can use it.. Api defines the kind of calls or requests that can be made and you know how to
make them. Also it tells us and the data formats that should be used the conventions to follow etc. All
those things are covered in Api. using Python or web scripting in general is a very controversial concept
in Python or any other programming. language because of the legality clause that it comes with and it is
not exactly ethical to scrape a website, but we can always follow certain guidelines. make sure you are
thoroughly aware of the site permissions that you are going to explore or scrape. Craigslist sued a
company for more than 300 million dollars for this purpose..

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