Language

Category

# Master Python With NumPy For Data Science & Machine Learning

4.21 (188 reviews)

Students

Content

Last Update
Regular Price

## Topics

EXCLUSIVE OFFER
30-DAY FREE TRIAL

## What you will learn

NumPy For Data Analysis

NumPy For Data Science

Numerical Computation Using Python

How To Work With Nd-arrays

How To Perform Matrix Computation

## Description

Hi, welcome to the 'NumPy For Data Science & Machine Learning' course. This forms the basis for everything else. The central object in Numpy is the Numpy array, on which you can do various operations. We know that the matrix and arrays play an important role in numerical computation and data analysis. Pandas and other ML or AI tools need tabular or array-like data to work efficiently, so using NumPy in Pandas and ML packages can reduce the time and improve the performance of the data computation. NumPy based arrays are 10 to 100 times (even more than 100 times) faster than the Python Lists, hence if you are planning to work as a Data Analyst or Data Scientist or Big Data Engineer with Python, then you must be familiar with the NumPy as it offers a more convenient way to work with Matrix-like objects like Nd-arrays. And also we’re going to do a demo where we prove that using a Numpy vectorized operation is faster than normal Python lists.

So if you want to learn about the fastest python-based numerical multidimensional data processing framework, which is the foundation for many data science packages like pandas for data analysis, sklearn, scikit-learn for the machine learning algorithm, you are at the right place and right track. The course contents are listed in the "Course content" section of the course, please go through it.

I wish you all the very best and good luck with your future endeavors. Looking forward to seeing you inside the course.

Pruthviraja L

## Content

Introduction - Installation and Setup

What Is NumPy

How To Install And Setup NumPy & Pandas

How To Work With The Jupyter Notebook

NumPy Basics

Numpy Initialization

Creating An Ndarrays

Data Types

Pseudorandom Number Generation

Indexing In NumPy

Indexing And Slicing

Boolean Indexing

Fancy Indexing

File Handling In NumPy

How To Save And Load In Numpy

Numerical Computation in NumPy

Mathematical & Statistical Methods

Arithmetic Operations

Universal Functions In Numpy

Conditional Logics In Numpy

Boolean Arrays & Sorting In NumPy

Methods Applied To Boolean Arrays

Sorting In Numpy

## Reviews

S
Shreyansh17 June 2021

overall it was good. the audio wasn't very clear, some assignments, quiz along with these would have been even better.. but thanks to the instructor.. it was good to learn from him..

A
Ariel11 June 2021

saya sangat terbantu sekali dengan mengikuti kursus ini dan pasti days banyak mendapatkan pengetahuan dan pengalaman dalam dunia teknologi informatikan dan basis data seperti numpy thanks

G
Gianfranco11 April 2021

The course is well paced, but the sound quality is awful (with speakers and with headset). Sometimes I can't make out what he's saying.

## Coupons

DateDiscountStatus
3/30/2021100% OFFExpired
4/10/2021100% OFFExpired
4/25/2021100% OFFExpired
5/23/2021100% OFFExpired
6/10/2021100% OFFExpired
6/19/2021100% OFFExpired

Udemy ID

## 8/31/2020

Course created date

## 9/1/2020

Course Indexed date
Angelcrc Seven
Course Submitted by