Welcome to download

Do not remember me!

We have Tested and found Below Host Trustable, Please Buy Premium account From Below Host.
UploadGIG.com nitroflare.com
Note: Do not Buy Premium account from Reseller

Latest Comments

    No comments
» » » Data Visualization using Python

Data Visualization using Python

Data Visualization using Python

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 1.22 GB | Duration: 1h 17m
What you'll learn
Different types of chart and their interpretation.
Basic Python
We are an inherently visual world, where images speak louder than words. Data visualization is
especially important when it comes to big data and data analysis projects. Nowadays more and
more companies are using machine learning to collect mass amounts of data. While it's great that
they're able to do this so quickly and effectively, it also calls for a way to sort through,
comprehend, and explain this data in a way that makes sense to both the business owners and
stakeholders. Python is a great language for doing data analysis, primarily because of the fantastic
ecosystem of data-centric Python packages. Pandas is one of those packages and makes
importing and analyzing data much easier. This course will take students from the basics of
Python to exploring many different types of data. They will learn how to prepare data for analysis,
perform simple statistical analysis, create meaningful data visualizations, predict future trends from
data, and more!
Who this course is for:
MCA, BCA, Research Scholar
Beginner Python who are curious about data visualization
Python developers

Data Visualization using Python

Download link :
(If you need these, buy and download immediately before they are delete)
Links are Interchangeable - Single Extraction - Premium is support resumable

Please login or register

Dear visitor, you are browsing our website as Guest. We strongly recommend you to register and login to view hidden contents.

Comments (0)

Leave Comment

Security Code: *
Click on the image to refresh the code if it cannot be viewed