Overview

This specialization features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization. In this specialization, you’ll dive deep into Python programming and Google Colab, gaining a comprehensive understanding of Python and the tools needed for Data Science and AI. Through real-world examples and hands-on exercises, you’ll learn how to write robust Python code and solve complex problems in Data Science and AI. The specialization starts with an introduction to Python and Google Colab, covering essential concepts like procedural, object-oriented, and functional programming, as well as dependency management. You'll then explore advanced topics such as control flow, functions, and critical Python libraries like NumPy, Pandas, Matplotlib, and Seaborn within the Google Colab environment. With numerous hands-on exercises, you'll gain practical experience, applying what you learn to real-life projects involving data manipulation, analysis, and visualization. Ideal for beginners, the course also offers opportunities for intermediate learners to enhance their coding skills. By the end, you'll be able to write efficient Python programs, manage projects in Google Colab, and leverage libraries for complex data analysis and visualization.

Syllabus

Course 1: Introduction to Python and Google Colab Fundamentals
Course 2: Python Programming And Libraries for Data Science
Course 3: Advanced Python Techniques for Data Science & AI

Courses

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11 hours 16 minutes
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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Learn Python and master Google Colab through a hands-on, step-by-step approach designed for beginners and those looking to refine their skills. This course begins by exploring the origins of Python and its evolution into one of the world’s most popular programming languages, before diving into why it’s favored in the tech community. You will also understand how Python compares to other languages and its real-world applications. As you continue, you will be introduced to core programming concepts, such as procedural programming, object-oriented programming (OOP), and functional programming. You'll learn how to work with variables, data types, operators, and write interactive programs, all while honing your skills within the Google Colab environment. The course is structured to gradually build your knowledge with practical hands-on exercises designed to deepen your understanding and programming abilities. The course is ideal for beginners looking to start programming or those who want to refine their skills with Python. It also caters to anyone interested in using Google Colab for coding projects. No prior programming experience is required, but a basic understanding of computers and the internet will be helpful. This course offers a comprehensive introduction to both Python and Google Colab at an accessible level. By the end of the course, you will be able to confidently write Python programs, navigate Google Colab, work with different data structures, and utilize Python for real-world applications. You'll also be prepared to apply your new skills in projects involving data analysis, automation, and beyond.