Learn fundamentals of Numpy , frequent used Numpy statistical functions with the help of real-world use-cases
Free tutorial
Created by Shan Singh
English
English [Auto]
What you’ll learn
- Master the essentials of NumPy, one of Python’s most powerful data analysis packages
- Understand and code using the Numpy Python
- Learn to modify and reshape matrices to your advantage.
- Learn basic functionality like calculating means, and finding max/min values.
Requirements
- Have a Keen Desire to learn !
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:
- The 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 , and reshaping using numpy functions. We’ll also give you an intuition of when to use what function!
Who this course is for:
- everyone who wants to learn by doing
- everyone who wants to improve data science skills
- data scientists/data analytics/machine learning engineers
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Course content
6 sections • 17 lectures • 1h 45m total lengthCollapse all sections
Welcome to this course !2 lectures • 11min
- Introduction & Course benefits !05:29
- Quick Summary of Jupyter Notebook05:47
NumPy Essentials ! 6 lectures • 40min
- Datasets & resources00:01
- Numpy array08:03
- Attributes of Numpy array !03:54
- How to create Numpy array from Python data structures .11:43
- Indexing in NumPy array08:22
- Basic Data-types in Numpy..07:43
basic Numpy operations !2 lectures • 14min
- Arithmetic operations in Numpy – Part 107:02
- Arithmetic operations in Numpy – Part 207:07
Statistical functions of Numpy ! 1 lecture • 4min
- Code-walkthrough of Numpy statistical functions .03:59
Some Popular used functions of Numpy ! 5 lectures • 36min
- Create 1-Dimensional array using arrange() & linspace()07:23
- Create 2D array using eye() , ones() & zeros() function08:27
- Reshaping & Flattening of nd-array .08:21
- Code-WalkThrough of reshaping & flattening03:53
- where() function of numpy07:40
Bonus section1 lecture • 1min
- Bonus lecture00:21
