Google Colab for Data Science & AI using Python: Unlock the Power of Python and Google Colab: From Basics to Advanced Applications

Anand Rao Nednur

Mex$2256.99

Video May 2025 19hrs 24mins 1st Edition

Anand Rao Nednur

Mex$2256.99

Video May 2025 19hrs 24mins 1st Edition

What do you get with a video?

Download this video in MP4 format

DRM FREE - Read whenever, wherever and however you want

Download Code

Key benefits

From Python basics to advanced topics like OOP and API integration
Learn to code in the cloud with Google Colab for easy access and collaboration
Discover Python’s role in data analysis, web development, and automation

Description

This course begins by exploring Python’s origins and its rise as one of the most popular programming languages. The course covers the key factors behind Python's success, such as its simplicity, versatility, and active community. After covering the basics, you’ll dive into practical Python programming using Google Colab, a cloud-based tool that allows you to code without installing anything locally. As you progress, you’ll explore various programming paradigms, including procedural, object-oriented programming (OOP), and functional programming, supported by real-world examples. Key Python concepts like variables, data types, functions, and control flow will be covered. You’ll also learn to work with advanced data structures like lists, tuples, dictionaries, and sets, helping you manage complex data. Additionally, you’ll dive into data analysis and create visualizations using libraries like Pandas, NumPy, Matplotlib, and Seaborn. The course continues with advanced topics, including OOP principles, file handling, exception management, and API integration. You’ll also explore Python’s capabilities for data analysis and interactive data visualization using Plotly. Whether you're automating tasks, analyzing data, or building web apps, this course equips you with the skills needed for real-world Python projects.

Who is this book for?

This course is perfect for beginners with no programming experience who want to learn Python, as well as intermediate learners looking to deepen their skills. It’s also ideal for data scientists, analysts, and software engineers aiming to apply Python for data manipulation, analysis, and visualization. Whether you’re a student, a professional transitioning to tech, or interested in automation and web development, this course will provide you with practical skills for success.