Specialize in Python with this Coursera Program

Akshay Ravi

11 April 2023

Add To Wishlist

Course Overview

The Programming in Python: A Hands-on Introduction Specialization by Coursera is designed to provide learners with a comprehensive understanding of the Python programming language. The specialization consists of 5 courses that cover various aspects of Python, including Object-Oriented Programming (OOP), data structures, algorithms, web scraping, and data visualization.

Elise Deitrick Codio and Patrick Ester Codio are the instructors of this course. Coursera is the hands-on learning platform supporting better outcomes in computing and tech skills education and is used by some of the world's largest and most prestigious higher education institutions to deliver engaging courses at scale.

"Getting a strong grasp of Python is easy with this specialization course that starts off with the fundamentals and covers topics that will help prepare you to write anything from small programs to larger applications."

- Akshay Ravi

Course Structure

Here is an overview of the courses in the "Hands-On Python" specialization:

Python Basics

This course covers the fundamental concepts of Python programming, including variables, data types, conditionals, loops, functions, and file input/output. Learners will also practice writing Python scripts to solve real-world problems.
Python Functions, Files, and Dictionaries

This course builds on the concepts covered in the first course and focuses on functions, files, and dictionaries. Learners will learn how to write and use functions, work with files, and manipulate dictionaries.
Data Collection and Processing with Python

This course covers data structures and algorithms in Python. Learners will learn how to work with lists, tuples, and sets and use algorithms to solve common data manipulation problems.
Python Project: Pillow, Tesseract, and Opencv

In this course, learners will use Python libraries to work with images and perform tasks such as image manipulation, optical character recognition, and face detection.
Python Project: Text and Sentiment Analysis

This course covers text and sentiment analysis using Python. Learners will learn how to preprocess text data, perform sentiment analysis, and visualize the results.

Throughout the specialization, learners will engage in various activities, including video lectures, quizzes, programming assignments, and projects. The specialization is self-paced and can be completed in about five months, making it a flexible option for individuals with busy schedules.

Overall, the "Hands-On Python" specialization is a great option for individuals who are interested in learning Python from scratch or expanding their knowledge of the language. The courses are taught by experienced instructors and provide learners with hands-on experience in Python programming. By the end of the specialization, learners will have a solid understanding of Python and be able to use it to solve real-world problems.

Insider Tips

To get the best out of this course, I have included some important tips that you might find useful.

Practice Consistently

Consistent practice enhances learning. When you practice something regularly, you reinforce the neural pathways in your brain responsible for that skill. This helps solidify your learning.
Assessment

We can attempt any quiz 3 times and write the program as many times as needed. Coding is compulsory to get the certificate, and one must pass every quiz with 80%.
Pre-requisites

There are no prerequisites as such.

Final Take

I am a final year computer science student at Gitam Deemed University Bangalore. This course helped me in the coding round of a campus placement interview which I eventually cleared.

This specialization is intended for people without programming experience who seek to develop Python programming skills and learn about the underlying computer science concepts that will allow them to pick up other programming languages quickly. In these 4 courses, you will cover everything from fundamentals to object-oriented design. These topics will help prepare you to write anything from small programs to automate repetitive tasks to larger applications, giving you enough understanding of Python to tackle more specialized topics such as Data Science and Artificial Intelligence.

I worked on practical projects, including helpful scripts that can speed up everyday tasks, such as an automated file updater. Other projects used the PyGame library to animate graphical output for various projects, including creating FlappyBird.

Python is the best choice for programmers in testing website applications and other related web interfaces before launching them on live sites to avoid bugs and errors. PyUnit It has a built-in unit test framework that assures your code works as expected. Python programming is powering the global job market because of its multiple benefits. According to the Popularity of Programming Language Index (PYPL) Index, Python is the most popular programming language worldwide, so if you want to work in a different country like Switzerland or Australia, you have a good chance of landing a job if you have done this course.