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Udemy - Advanced Data Analytics Training using Python

Torrent: Udemy - Advanced Data Analytics Training using Python
Description:

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Advanced Data Analytics Training using Python
Master Advanced Data Analytics by solving Real-Life Analytics Problems using Python. Learn by doing!
Original Price: CA$24.99




Description

Welcome to the online course on Advanced Data Analytics using Python.Data analysts exist at the intersection of information technology, statistics and business. They combine these fields in order to help businesses and organizations succeed.The primary goal of a data analyst is to increase efficiency and improve performance by discovering patterns in data.In this course, you will get advanced knowledge on Data Analytics.This course begins with providing you the complete knowledge on Python programming language.You will learn all the concepts of python programming from basics to advanced level.This course will cover the following topics:-

  • Variables and data types
  • Loops and conditionals
  • Functions
  • Object oriented programming
  • Dates and times
  • Regular expressions
  • Numpy and pandas library
Along with python programming, this course will cover other data analytics concepts such as
  • Data Visualization
  • Data cleaning
  • Query Analysis
  • Data Exploration
  • Statistics and Probability concepts
All these topics are covered in detail.Along with theory you will get to practice them using some real world datasets.There will be lots of exercises and quizzes.Not only this, you will get to work on some exciting projects including Startups Case Study and Analysis, IPL Player performance Analysis.Lots of exercises and quizzes are waiting for you.You will also have access to all the resources used in this course.Enroll now and become an expert in data analytics.
Downloads: 146
Category: Other/Tutorials
Size: 15 GB
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Added: 2021-06-29 11:05:56
Language: English
Peers: Seeders : 13 , Leechers : 14
Tags: courses tutorials udemy notmrME 
Release name: Udemy - Advanced Data Analytics Training using Python
Trackers:

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