Basics of Numpy for Data Analysis & Data Science

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

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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!

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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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