Télécharger Python Course for Data Analysis Numpy + Pandas + Matplotlib torrent - GloDLS
Détails du Torrent Pour "Python Course for Data Analysis Numpy + Pandas + Matplotlib"

Python Course for Data Analysis Numpy + Pandas + Matplotlib

To download this torrent, you need a BitTorrent client: Vuze or BTGuard
Télécharger ce torrent
Download using Magnet Link

santé:
Seeds: 4
Leechers: 1
Terminé: 13 
Dernière vérification: 18-12-2021 03:42:07

Points de réputation Uploader : 7860




Thanks By

Write a Review for the Uploader:   15   Say Thanks with one good review:
Share on Facebook
Details
_NAME_:Python Course for Data Analysis Numpy + Pandas + Matplotlib
Description:

Description

Hello and welcome to the course !

I hope you are exited to start this journey of learning python for data analysis.

By the end of this course you be able to comfortably manipulate and visualize your data.

I just want a commitment from you that you will attempt all the 13 quizzes that are distributed across each of the modules and also solve the Final assignment honestly. Why ? Because the more you practice the better you code.

Why you should take this course :

It’s Memorable: You’ll learn the “why” behind everything you do, so you remember the concepts and can use them on your own later.

It’s the Perfect Length: The course is just 6.5 hours long, so you’ll actually be able to finish it and get your certificate.

It Goes at the Perfect Pace: You will learn the Python fundamentals at a pace tailored to beginners. This means you won’t get left behind, and won’t waste time on irrelevant filler.

It’s Practical: You actually use Pandas to manipulate data. It’s not just dry theory. You can see you’ve understood by solving Quizes at the end of each section. There is a mega coding assignment to give you a hands on flavour and make you more confident in this skill. Over time i will keep on adding more coding assignmet for your practice.

Now, let’s have a look at the course outline.

We will start by laying some foundation with the below lectures :

   Basic Introduction to Python.
   Numpy Package, which forms the foundation of Pandas Package.

Then, we will learn about :

   Data Types in Python to store collections of data.

Then we will start with the following :

   Create Dataframe in Pandas from different file formats.
   Data Selection and Filtering.
   Merging and aggregations which forms the back bone of the dataframe analysis.
   Working with Datetime using pandas.
   Advance Data Manipulation.
   Loops and Functions.
   Data Visualization.
   Assignment – Work Fitbit User Activity data.

Try out the course for a full 30 days, with a Udemy-approved Zero Risk, 30 Day 100% Money Back Guarantee! You have absolutely nothing to lose and everything to gain!

Enroll in the Python for Data Analysis course Now! — You’ll be glad that you did!
Who this course is for:

   Anyone who is looking to learn python for data analysis

Requirements

   No programming experience needed. You will learn everything you need to know.

Last Updated 11/2021
YouTube Video:
Catégorie:Tutorials
Langue :English  English
Taille totale:4.19 GB
Info Hash:4F1B5BF8723EAB72D88FD0476C308F35A8DEEBCB
Ajouté par:tutsnode Verified UploaderVIP
Date:2021-12-18 11:41:57
Statut Torrent:Torrent Verified


évaluations:Not Yet Rated (Log in to rate it)


Tracker:
udp://open.stealth.si:80/announce

Ce Torrent a également trackers de sauvegarde
URLSemoirsLeechersTerminé
udp://open.stealth.si:80/announce000
udp://tracker.tiny-vps.com:6969/announce000
udp://fasttracker.foreverpirates.co:6969/announce000
udp://tracker.opentrackr.org:1337/announce000
udp://explodie.org:6969/announce000
udp://tracker.cyberia.is:6969/announce000
udp://ipv4.tracker.harry.lu:80/announce000
udp://tracker.uw0.xyz:6969/announce000
udp://opentracker.i2p.rocks:6969/announce000
udp://tracker.birkenwald.de:6969/announce000
udp://tracker.torrent.eu.org:451/announce000
udp://tracker.moeking.me:6969/announce000
udp://tracker.dler.org:6969/announce000
udp://9.rarbg.me:2970/announce000


Liste des fichiers: 





Comments
Aucun commentaire n'a encore publié