Basics of Numpy for Data Analysis & Data Science in Python

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Basics of Numpy for Data Analysis & Data Science in Python, Learn fundamentals of Numpy , frequent used Numpy statistical functions with the help of real-world use-cases.

Course Description

Data Scientist & Data Analyst has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world’s most interesting problems!

That being said, data science is becoming one of the most well-suited occupations for success in the twenty-first century. It is computerized, programming-driven, and analytical in nature. Consequently, it comes as no surprise that the need for data scientists has been increasing in the employment market over the last several years.

In this course, you will learn how to do numerical computations on data using numpy !

This course will teach your everything you need to know to use numpy to create 1-D array or whether 2-D array for Deep Learning Stuffs ! Have you ever wanted to take your Python skills to the next level in numerical programming ,this is the place where u can learn !

We’ll teach you how to program with Python, how to create 1-D array ,2-D array & multi-dim. array , how to flatten array & much more Here a just a few of the topics we will be learning:

  • Basic data-structure of Python
  • Numpy operations
  • Statistical functions of numpy
  • 1D array creation numpy functions
  • 2D array creation numpy functions

We’ll start off by teaching you enough Python and numpy that you feel comfortable working and generating data  Then we’ll continue by teaching you real-world scenarios including flattening  , reshaping using numpy functions . We’ll also give you an intuition of when to use what function !


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