Google Colab Crash Course in 30 Minutes

Google Colab Crash Course in 30 Minutes, available at $39.99, has an average rating of 4.4, with 17 lectures, based on 67 reviews, and has 3455 subscribers.

You will learn about You will be able to program in Python Be able to use Python for data science and machine learning You will learn to run Python programs on the web browser Run Python programs professionally without installing any software Run Data Science and Machine Learning programs on the cloud This course is ideal for individuals who are Beginner Python Developers or Developers curious about setting up Data Science libraries or Developers curious about setting up Machine Learning libraries or Programmers want to code Python without installing any software or Programmers want to code Python on a Web Browser It is particularly useful for Beginner Python Developers or Developers curious about setting up Data Science libraries or Developers curious about setting up Machine Learning libraries or Programmers want to code Python without installing any software or Programmers want to code Python on a Web Browser.

Enroll now: Google Colab Crash Course in 30 Minutes

Summary

Title: Google Colab Crash Course in 30 Minutes

Price: $39.99

Average Rating: 4.4

Number of Lectures: 17

Number of Published Lectures: 17

Number of Curriculum Items: 17

Number of Published Curriculum Objects: 17

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

You will be able to program in Python
Be able to use Python for data science and machine learning
You will learn to run Python programs on the web browser
Run Python programs professionally without installing any software
Run Data Science and Machine Learning programs on the cloud

Who Should Attend

Beginner Python Developers
Developers curious about setting up Data Science libraries
Developers curious about setting up Machine Learning libraries
Programmers want to code Python without installing any software
Programmers want to code Python on a Web Browser

Target Audiences

Beginner Python Developers
Developers curious about setting up Data Science libraries
Developers curious about setting up Machine Learning libraries
Programmers want to code Python without installing any software
Programmers want to code Python on a Web Browser

Welcome to the Google Colab Course by Studyopedia !!!

Google Colab is a Notebook Environment that runs entirely on the cloud. Avoid the hassles of installing Python on your system and directly run your Python programs on a Web Browser.

In this course, learn all about Google Colab and how it eases the work of a programmer. We have discussed how to begin with Colab, run your first program, set up libraries, run pandas, Numpy, and Matplotlib programs, etc. Sample programs with all these libraries are also discussed. Colab supports all Data Science and Machine Learning libraries.

We have also discussed the basic layout of Colab, how to increase the font, display line numbers, and enable dark mode. With that, how to set free Runtime Type i.e. GPU and TPU is also discussed. Also, an overview discussed the paid versions of Google Colab i.e. Colab Pro and Pro+, with all the comparisons.

With Colab, easily share the code with your friends and colleagues using GitHub and Google Drive. Sharing is caring! However, Colab automatically saves your code on Google Drive, making it easier to keep a backup. Therefore, avoid hassles in saving your codes on the system.

Let’s start the journey!

Course Curriculum

Chapter 1: Colab Introduction

Lecture 1: Introduction

Chapter 2: Setup and run first Python Program on Google Colab

Lecture 1: Create first Notebook

Chapter 3: Runtime Type – TPU and GPU

Lecture 1: Understanding TPU and GPU

Chapter 4: Colab – Settings

Lecture 1: Show Line numbers on Google Colab Notebook

Lecture 2: Enable Dark Theme on Google Colab

Lecture 3: Increase the font size on Google Colab Notebook

Chapter 5: Import and Export

Lecture 1: Download Python Notebook (.ipynb) from Google Colab

Lecture 2: Import a Python Notebook into Google Colab

Chapter 6: Run Numpy, Pandas & Matplotlib on Colab

Lecture 1: Run Pandas program on Google Colab

Lecture 2: Run Numpy program on Google Colab

Lecture 3: Run Matplotlib program on Google Colab

Chapter 7: Share Notebook to Google Drive & GitHub

Lecture 1: Share Google Colab Notebook on Drive

Lecture 2: Share Google Colab Notebook on Github

Chapter 8: Working on Cells

Lecture 1: Deep Dive into Cells (Text + Code)

Lecture 2: Perform Find and Replace on a Notebook

Chapter 9: Open Notebook from GitHub and Google Drive

Lecture 1: Open Colab Notebook from Google Drive

Lecture 2: Open Colab Notebook from GitHub

Instructors

Studyopedia Trainings
Studyopedia Team

Rating Distribution

1 stars: 5 votes
2 stars: 2 votes
3 stars: 12 votes
4 stars: 15 votes
5 stars: 33 votes

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!

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