Python for Data Science, AI & Development

Go to Course: https://www.coursera.org/learn/python-for-applied-data-science-ai

Introduction

### Course Review: Python for Data Science, AI & Development on Coursera #### Overview Python for Data Science, AI & Development is a beginner-friendly self-paced course designed to help learners kickstart their journey into the world of programming with Python. Taught by an expert in the field, this course emphasizes practical skills and knowledge that are incredibly valuable in today's data-driven environment. If you're looking to secure a foothold in one of the most in-demand programming languages globally, this course is an excellent choice. ### What You Will Learn #### 1. Python Basics The course begins with **Python Basics**, which covers essential concepts like data types (integers, real numbers, strings) and how to perform mathematical operations. You will also learn how to store values in variables and manipulate strings in various ways. This foundational knowledge is crucial as it sets the stage for your programming journey. #### 2. Python Data Structures Next, the course dives into **Python Data Structures**, where you will explore lists, tuples, dictionaries, and sets. Understanding these structures is vital to effectively managing data in Python. You’ll learn how to store collections of data in single variables, how dictionaries work with key-value pairs, and the unique properties of sets that only store unique elements. #### 3. Python Programming Fundamentals The course progresses to **Python Programming Fundamentals**, introducing you to concepts like conditions, branching, loops, functions, and exception handling. This section is particularly important as it discusses the use of classes for creating objects, enabling you to write code that is not only functional but also organized and reusable. #### 4. Working with Data in Python In the **Working with Data in Python** module, you'll learn to read from and write to files, a skill that is essential for managing datasets. You'll also be introduced to some of the most valuable Python libraries that facilitate data manipulation and mathematical operations. This knowledge will significantly enhance your capability to work with real-world data. #### 5. APIs and Data Collection The final module, **APIs and Data Collection**, is a fascinating deep dive into how to collect data from various sources using APIs and web scraping techniques. You will also learn how to handle various file formats, expanding your toolkit for data collection and analysis. This practical experience is invaluable, as it reflects real-world scenarios where data is often gathered from multiple sources. ### Why You Should Enroll 1. **Beginner-Friendly**: This course is crafted for beginners, making it accessible even if you have no prior programming experience. 2. **Self-Paced Learning**: The flexibility of a self-paced format allows you to learn at your own speed, making it easier to balance your studies with other commitments. 3. **Expert Instruction**: Taught by experienced professionals, you will gain insights from industry experts who understand current trends and demands in technology. 4. **Valuable Skills**: Python is ubiquitous in the programming and data science landscape. The skills acquired in this course will not only enhance your employability but also prepare you for advanced studies in AI and data science. 5. **Hands-On Projects**: Engage with practical assignments that reinforce what you've learned, ensuring you can apply your skills in real-world scenarios. ### Conclusion In conclusion, "Python for Data Science, AI & Development" is an excellent introductory course for anyone looking to dive into programming with Python while gaining relevant skills in data science and AI. With its comprehensive syllabus, structured modules, and expert guidance, it serves as a perfect launchpad for aspiring developers and data scientists. Whether you are a student seeking to enhance your resume, a professional looking to pivot into the tech field, or simply a curious learner, I highly recommend enrolling in this course. Start your Python journey today and open the door to countless opportunities in the ever-evolving tech landscape!

Syllabus

Python Basics

This module teaches the basics of Python and begins by exploring some of the different data types such as integers, real numbers, and strings. Continue with the module and learn how to use expressions in mathematical operations, store values in variables, and the many different ways to manipulate strings.

This module begins a journey into Python data structures by explaining the use of lists and tuples and how they are able to store collections of data in a single variable. Next learn about dictionaries and how they function by storing data in pairs of keys and values, and end with Python sets to learn how this type of collection can appear in any order and will only contain unique elements.

This module discusses Python fundamentals and begins with the concepts of conditions and branching. Continue through the module and learn how to implement loops to iterate over sequences, create functions to perform a specific task, perform exception handling to catch errors, and how classes are needed to create objects.

This module explains the basics of working with data in Python and begins the path with learning how to read and write files. Continue the module and uncover the best Python libraries that will aid in data manipulation and mathematical operations.

This module delves into the unique ways to collect data by the use of APIs and webscraping. It further explores data collection by explaining how to read and collect data when dealing with different file formats.