Learn NumPy Fundamentals (Python Library for Data Science)

Learn NumPy Fundamentals (Python Library for Data Science), available at Free, has an average rating of 4.59, with 30 lectures, based on 1259 reviews, and has 31441 subscribers.

You will learn about Python NumPy This course is ideal for individuals who are Beginner Python Students interested in NumPy or Beginner Data Scientists It is particularly useful for Beginner Python Students interested in NumPy or Beginner Data Scientists.

Enroll now: Learn NumPy Fundamentals (Python Library for Data Science)

Summary

Title: Learn NumPy Fundamentals (Python Library for Data Science)

Price: Free

Average Rating: 4.59

Number of Lectures: 30

Number of Published Lectures: 30

Number of Curriculum Items: 30

Number of Published Curriculum Objects: 30

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Python

NumPy

Who Should Attend

Beginner Python Students interested in NumPy

Beginner Data Scientists

Target Audiences

Beginner Python Students interested in NumPy

Beginner Data Scientists

Hello Everyone! In this course I’ll cover the basics of using number and have several interactive course videos that will challenge you to learn how to use NumPy. I’ve always included a python course as well, but that’s just bonus content (in case you haven’t used python before.)

We’ll cover:

– Why use NumPy?

– NumPy Arrays

-Array Math

– Array Indexing

– Advanced Indexing

– Broadcasting

& much more!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: NumPy Fundamentals

Lecture 1: NumPy Overview

Lecture 2: Array Creation

Lecture 3: Array Creation (Optional Practice)

Lecture 4: Reshaping & Indexing

Lecture 5: Reshaping & Indexing (Optional Practice)

Lecture 6: Default Arrays

Lecture 7: Default Arrays (Optional Practice)

Lecture 8: Advanced Indexing

Lecture 9: Advanced Indexing (Optional Practice)

Lecture 10: Array Math

Lecture 11: Array Math (Optional Practice )

Lecture 12: Broadcasting

Lecture 13: Broadcasting (Optional Practice)

Lecture 14: Finishing Up & Next Steps

Chapter 3: Python (Only if you need it!)

Lecture 1: Download & Set Up

Lecture 2: Syntax & Commenting

Lecture 3: Variables & Data Types

Lecture 4: Composite Data Types

Lecture 5: Numbers

Lecture 6: Lists

Lecture 7: Strings

Lecture 8: Tuples

Lecture 9: Sets

Lecture 10: Dictionaries

Lecture 11: If Statements

Lecture 12: While loops

Lecture 13: For Loops

Lecture 14: Functions

Lecture 15: Class Objects

Instructors

Derrick Sherrill
Coffee Powered Coder

Rating Distribution

1 stars: 7 votes

2 stars: 18 votes

3 stars: 153 votes

4 stars: 505 votes

5 stars: 576 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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