Learn NumPy in 1 hour- Your First Steps Into Data Science

Learn NumPy in 1 hour: Your First Steps Into Data Science, available at $19.99, with 10 lectures, and has 8 subscribers.

You will learn about Learn how to create and change matrices/multi-dimensional arrays Solve linear equations with Numpy Statistics and Mathematics Understand Numpy code with in-depth examples File Handling with Numpy This course is ideal for individuals who are Beginner Python developers curious about getting into Data Science or Anyone interested in learning Mathematical Computations using Numpy or If you hated Maths in college or school. It is particularly useful for Beginner Python developers curious about getting into Data Science or Anyone interested in learning Mathematical Computations using Numpy or If you hated Maths in college or school.

Enroll now: Learn NumPy in 1 hour: Your First Steps Into Data Science

Summary

Title: Learn NumPy in 1 hour: Your First Steps Into Data Science

Price: $19.99

Number of Lectures: 10

Number of Published Lectures: 10

Number of Curriculum Items: 10

Number of Published Curriculum Objects: 10

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

Learn how to create and change matrices/multi-dimensional arrays

Solve linear equations with Numpy

Statistics and Mathematics

Understand Numpy code with in-depth examples

File Handling with Numpy

Who Should Attend

Beginner Python developers curious about getting into Data Science

Anyone interested in learning Mathematical Computations using Numpy

If you hated Maths in college or school.

Target Audiences

Beginner Python developers curious about getting into Data Science

Anyone interested in learning Mathematical Computations using Numpy

If you hated Maths in college or school.

I don’t want to spend 16 hours watching videos to learn Numpy
I just want to learn it enough to understand Numpy code to read and write simple Numpy code.
I want to learn data science and machine learning but everywhere I look, Numpy is the first thing I need to learn.

If these are the thoughts that come up in your mind, this course is perfect for you.

This course, Learn NumPy in 1 hour: Your First Steps Into Data Scienceon Udemy will help you

1. Learn how to create and change matrices/multi-dimensional arrays

2. Solve linear equations with Numpy

3. Statistics and Mathematics included

4. Understand Numpy code with in-depth examples

5. File Handling with Numpy

Source Code – All source code shown in this course is also available for download. Students can create their own projects using the downloaded Python files.

Why choose me as an instructor?

When i was a kid i saw this YouTube video on how make a folder invisible on Windows I was so fascinated with this idea. Since then my love for technology has only grown. I understand the  people who are passionate about learning new things. We will learn this course together from start to finish.

So, why wait? If all this sounds great to you, Press on “Take this Course” and I will see you inside the course!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Basics of NumPy

Chapter 2: Matrices and Arrays

Lecture 1: Get Elements and Indexing

Lecture 2: Updating and Copying Arrays

Lecture 3: Intializing Matrices and Arrays

Lecture 4: Reshaping and Reorganization

Chapter 3: Mathematics

Lecture 1: Simple Maths

Lecture 2: Linear Algebra

Chapter 4: Statistics and File Handling

Lecture 1: Statistics in NumPy

Lecture 2: File Handling

Instructors

Attreya Bhatt
Coding Entrepreneur & Teacher – 13000+ Students

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Frequently Asked Questions

How long do I have access to the course materials?

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

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!