下载 Udemy - Complete Data Wrangling & Data Visualisation With Python torrent - GloDLS
洪流细节 "Udemy - Complete Data Wrangling & Data Visualisation With Python"

Udemy - Complete Data Wrangling & Data Visualisation With Python

To download this torrent, you need a BitTorrent client: Vuze or BTGuard
下载这洪流
Download using Magnet Link

健康:
种子: 0
懒鬼: 0
已完成: 12 
上次检查: 04-05-2021 03:26:28

上传者的声誉点 : 3932




Thanks By


Write a Review for the Uploader:   0   Say Thanks with one good review:
Share on Facebook


Details
name:Udemy - Complete Data Wrangling & Data Visualisation With Python
说明:


Description

I have several years of experience in analyzing real life data from different sources using statistical modeling and producing publications for international peer reviewed journals. If you find statistics books & manuals too vague, expensive & not practical, then you’re going to love this course!

I created this course to take you by hand and teach you all the concepts, and tackle the most fundamental building block on practical data science- data wrangling and visualisation.

GET ACCESS TO A COURSE THAT IS JAM PACKED WITH TONS OF APPLICABLE INFORMATION!

This course is your sure-fire way of acquiring the knowledge and statistical data analysis wrangling and visualisation skills that I acquired from the rigorous training I received at 2 of the best universities in the world, perusal of numerous books and publishing statistically rich papers in renowned international journal like PLOS One.

To be more specific, here’s what the course will do for you:  (a) It will take you (even if you have no prior statistical modelling/analysis background) from a basic level to performing some of the most common data wrangling tasks in Python.  (b) It will equip you to use some of the most important Python data wrangling and visualisation packages such as seaborn.  (c) It will Introduce some of the most important data visualisation concepts to you in a practical manner such that you can apply these concepts for practical data analysis and interpretation.

(d) You will also be able to decide which wrangling and visualisation techniques are best suited to answer your research questions and applicable to your data and interpret the results.

The course will mostly focus on helping you implement different techniques on real-life data such as Olympic and Nobel Prize winners

After each video you will learn a new concept or technique which you may apply to your own projects immediately! Reinforce your knowledge through practical quizzes and assignments.
Who this course is for:

   Students Interested In Getting Started With Data Science Applications In The Jupyter Environment
   Students Interested in Learning About the Common Pre-processing Data Tasks
   Students Interested in Gaining Exposure to Common Python Packages Such As pandas
   Those Interested in Learning About Different Kinds of Data Visualisations
   Those Interested in Learning to Create Publication Quality Visualisations

Requirements

   The Ability To Install the Anaconda Environment On Your Computer/Laptop
   Know how to install and load packages in Anaconda
   Interest in Learning to Process and Visualise Real Data

Last updated 4/2019
YouTube 视频:
类别:Tutorials
语言:English  English
总大小:2.98 GB
哈希信息:A9B4EEDACA54392B1A31FF826BC05FD0D99A1449
增加:tutsgalaxy Verified Uploader
加入的日期:2019-05-20 02:56:57
洪流地位:Torrent Verified


评级:Not Yet Rated (Log in to rate it)


Tracker:
udp://tracker.openbittorrent.com:80/announce

这个洪流也有备份的纤夫
URL播种机懒鬼已完成
udp://tracker.openbittorrent.com:80/announce0010
udp://tracker.leechers-paradise.org:6969/announce000
udp://eddie4.nl:6969/announce000
udp://tracker.opentrackr.org:1337/announce002
udp://tracker.coppersurfer.tk:6969/announce000
udp://tracker.leechers-paradise.org:6969/announce000
udp://9.rarbg.to:2790/announce000
udp://tracker.pirateparty.gr:6969/announce000
udp://tracker.internetwarriors.net:1337/announce000
udp://9.rarbg.com:2790/announce000
udp://9.rarbg.me:2730/announce000
udp://denis.stalker.upeer.me:6969/announce000
udp://open.demonii.si:1337/announce000


文件列表: 





Comments
无可奉告，仍将过帐