Udemy – Preprocessing Data with NumPy 2020-12

Udemy – Preprocessing Data with NumPy 2020-12 Downloadly IRSpace

Udemy – Preprocessing Data with NumPy 2020-12
Udemy – Preprocessing Data with NumPy 2020-12

Preprocessing Data with NumPy is a complete course for teaching NumPy, ndarrays, Slicing, random generators, importing and storing data, statistics, data manipulation, preprocessing, etc. Most data analysis, data science and coding courses miss an important practical step. They don’t teach you how to work with raw data, how to clean and preprocess it. This creates a significant gap between the skills you need on the job and the abilities you have acquired in education. Our goal is to provide you with complete preparation using the NumPy library. This course will turn you into a capable data analyst with an excellent understanding of one of the most prominent computing packages in the world.

What you will learn in this course:

  • Arrays
  • Definition of package and library.
  • Installing and upgrading a package
  • Scroll through documents
  • History of NumPy
  • The relationship between arrays and vectors
  • Arrays vs Lists
  • and much more

Who is this course for:

  • Aspiring data analysts
  • Programming beginners
  • People who are interested in data analysis through Python.
  • Analysts interested in specializing in Python.
  • Finance graduates and professionals who need to put their knowledge to better use in Python.

Course specifications:

  • Publisher : Udemy
  • Instructor(s) : 365 Careers
  • Language : English
  • Level : All Levels
  • Duration : 6h 44m
  • number of lessons : 77
  • Format : mp4

Course contents :

Preprocessing Data with NumPy

 

Requirements :

  • You’ll need to install Python.
  • No prior experience with NumPy is required.
  • Some general understanding of coding languages is preferred, but not required.
 

Photos of Preprocessing Data with NumPy

Preprocessing Data with NumPy

Sample clip:

Installation guide :

After extracting, you can watch the course with your favorite video player.

subtitle : English

quality : 720p

Download links :

Download Part 1 – 1GB

Download Part 2 – 1GB

Download Part 3 – 222MB

Password : www.downloadly.ir

File size :

2.2 GB