Basics of Numpy for Data Analysis Data Science in Python

Basics of Numpy for Data Analysis & Data Science in Python, available at Free, has an average rating of 4.6, with 17 lectures, based on 62 reviews, and has 4125 subscribers.

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You will learn about Master the essentials of NumPy , one of the Pythons 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. This course is ideal for individuals who are everyone who wants to learn by doing or everyone who wants to improve data science skills or data scientists / data analytics / machine learning engineers It is particularly useful for everyone who wants to learn by doing or everyone who wants to improve data science skills or data scientists / data analytics / machine learning engineers.

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Summary

Title: Basics of Numpy for Data Analysis & Data Science in Python

Price: Free

Average Rating: 4.6

Number of Lectures: 17

Number of Published Lectures: 17

Number of Curriculum Items: 17

Number of Published Curriculum Objects: 17

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Master the essentials of NumPy , one of the Pythons 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.

Who Should Attend

everyone who wants to learn by doing

everyone who wants to improve data science skills

data scientists / data analytics / machine learning engineers

Target Audiences

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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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 !

Course Curriculum

Chapter 1: Welcome to this course !

Lecture 1: Introduction & Course benefits !

Lecture 2: Quick Summary of Jupyter Notebook

Chapter 2: NumPy Essentials !

Lecture 1: Datasets & resources

Lecture 2: Numpy array

Lecture 3: Attributes of Numpy array !

Lecture 4: How to create Numpy array from Python data-structures .

Lecture 5: Indexing in NumPy array

Lecture 6: Basic Data-types in Numpy..

Chapter 3: basic Numpy operations !

Lecture 1: Arithmetic operations in Numpy – Part 1

Lecture 2: Arithmetic operations in Numpy – Part 2

Chapter 4: Statistical functions of Numpy !

Lecture 1: Code-walkthrough of Numpy statistical functions .

Chapter 5: Some Popular used functions of Numpy !

Lecture 1: Create 1-Dimensional array using arange() & linspace()

Lecture 2: Create 2D array using eye() , ones() & zeros() function

Lecture 3: Reshaping & Flattening of nd-array .

Lecture 4: Code-WalkThrough of reshaping & flattening

Lecture 5: where() function of numpy

Chapter 6: Bonus section

Lecture 1: Bonus lecture

Instructors

Shan Singh
Top Rated & Best-Selling Udemy Instructor , Data Scientist

Rating Distribution

1 stars: 0 votes

2 stars: 2 votes

3 stars: 5 votes

4 stars: 23 votes

5 stars: 32 votes

Frequently Asked Questions

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