Numpy Library for data science (All in one)

Start your career towards the field of data science

What you'll learn
- Different Numpy function applied as Matrix/Array Operations
- You will learn Numpy - Numerical Python Library
- Various mathematical functions of Numpy
- Go from absolute beginner to become a confident Python NumPy user
- Dare to get the most out of Python NumPy
- Go deeper to understand complex topics in Python NumPy

Requirements
- Should have a basic knowledge of Python

Description
Hello,Welcome toNumpy Library for Data Science Course

Are you ready for theData Sciencecareer?

Do you want to learn the Python Numpy from Scratch? or

Are you an experienced Data scientist and looking to improve your skills with Numpy!

In both cases, you are at the right place! The number of companies and enterprises using Python is increasing day by day. The world we are in is experiencing the age of informatics. Python and itsNumpy librarywill be the right choice for youto take part in this world and create your own opportunities,

Numpyis a library for thePythonprogramming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

Numpyaims to provide an array object that is up to 50x faster than traditional Python lists. The array object inNumpyis called ndarray , it provides a lot of supporting functions that make working with ndarray very easy. Arrays are very frequentlyusedin data science.

In this course, we will open the door of theData Scienceworld and will move deeper. You will learnNumpystep by step with hands-on examples. Most importantly in Data Science, you should know how to use effectively the Numpy library. Because this library is limitless.

In this course you will learn;

Introduction and Installation

Similarities and difference in a list and an array

Declare an array

Array function in numpy library

arange function

ones, zeros and empty function

linspace function

identity and eye function

Attributes of array

Indexing in array

Slicing in array

Arithmetic operators in an array

reshape and resize function in an array

flatten function in an array

ravel function in an array

transpose function

swapaxes function

Concatenate function

Different matrices function like finding inverse , matix multiplication etc.This course will take you from a beginner to a more experienced level.

If you are new to data science or have no idea about what data science is, no problem, you will learn anything from scratch you need to start data science.

If you are a software developer or familiar with other programming languages and you want to start a new world, you are also in the right place. You will learn step by step with hands-on examples.

See you in the course!

Who this course is for:
- Any one can take this course who wants to go into field of data science
More Info