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via Udemy |
Go to Course: https://www.udemy.com/course/python-3-programming-a-step-by-step-guide/
Certainly! Here's a comprehensive review and recommendation for the Coursera course on Python programming: --- **Course Review and Recommendation: Python Programming Step by Step Guide on Coursera** Python has established itself as one of the most versatile, powerful, and easy-to-learn programming languages. Its extensive libraries for data manipulation and analysis make it a favored choice among data scientists, AI researchers, and software developers alike. This course, *Python Programming Step by Step Guide*, offers a thorough foundation for anyone interested in mastering Python, particularly with an eye towards data science and related fields. **Course Highlights:** - **Structured Learning Path:** The course is organized into 13 modules, covering everything from installing Python to advanced topics like classes, objects, and data structures. - **Beginner-Friendly Approach:** It starts with the basics, perfect for beginners, including defining variables, writing conditional statements, and working with loops. - **Comprehensive Coverage:** The curriculum progresses into more complex topics such as functions, classes, exception handling, and data structures like lists, dictionaries, tuples, and sets. - **Future Content Expansion:** The course developers plan to add modules on Regular Expressions, Decorators, Modules, and Python essentials for Data Science, providing learners with continuous value at no extra cost. - **Practical Orientation:** The hands-on approach ensures learners gain practical skills needed to write maintainable and efficient Python code. **Pros:** - Well-structured and easy to follow - Focuses on practical coding skills - Offers future updates bundled with the course fee - Suitable for absolute beginners and those looking to reinforce their Python fundamentals **Cons:** - Some learners may seek more real-world project-based applications - The base curriculum might feel basic for advanced programmers **Final Recommendation:** If you are a beginner aiming to learn Python for data science, AI, or general software development, this course is an excellent starting point. The structured modules and planned future expansions make it a cost-effective investment for continuous learning. The course’s focus on foundational skills ensures you will build a solid programming base, which can be further expanded with the upcoming modules. **Overall, I highly recommend this course to anyone keen on learning Python from scratch with the intention of progressing into data science or related domains.** --- Feel free to ask if you'd like me to tailor this review further or include additional details!
Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as Data Science, Machine Learning, AI, IOT etc.Python Programming Step by Step Guide consists of currently 13 modules and later will add some more additional modules to help the students interested in learning Data Science. First we shall start with the Introduction to Python Programming language then we shall learn how to install Python on your machines and get started with Python Programming, then we shall start understanding the fundamentals of Python by understanding how to define the variables and the expressions that are supported by the Python language, then we shall learn how to write the conditional statements and we shall learn how to work with the loops and how to perform iterations in Python language, then we shall learn how to work with the functions, we shall learn how to define the classes and objects in python, then we shall learn how to handle the exceptions in Python language, we shall learn how to handle and manipulate the strings using Python, we shall learn how to handle the files, we shall learn various data structures such as Lists, Dictionaries, Tuples, Sets etc. and also we shall learn how to use the comprehensions support provided by the Python language for writing maintainable and efficient code. Later in this course I will add additional modules such as Regular Expressions, Decorators, Packing and Modules Dynamic Loading, Python Essentials for Data Science and many more.Once you have subscribed all the future updates will be free only.