Enroll Course: https://www.coursera.org/learn/programacion-python
If you’ve ever considered diving into the world of programming, or if you’re looking to solidify your foundational Python skills, the “Programación en Python” course from the Universidad de los Andes on Coursera is an excellent choice. This course is designed to equip you with essential computational thinking skills and train you in problem-solving using Python, all within an interactive and engaging learning environment.
The course adopts an active, case-based learning strategy, meaning you’ll be actively involved in solving problems rather than passively receiving information. It’s structured into four comprehensive modules, each building upon the last.
**Module 1: Discovering the World of Programming** kicks off by introducing the fundamental concepts of any programming language, illustrated with Python. You’ll cover data types, variables, expressions, operators, and the basics of functions. The estimated time for this module is around 12 hours, and it’s recommended to complete it within two weeks for optimal learning.
**Module 2: Making Decisions** delves into how programs can make choices based on conditions and user input. This module also introduces dictionaries, a powerful data structure for handling more complex information. Key topics include boolean values, conditional statements, dictionaries, and parameter passing. Plan for approximately 13 hours, ideally spread over two weeks.
**Module 3: Repeating Actions and Handling Data Structures** focuses on iterative programming, allowing your programs to execute tasks multiple times. This significantly enhances a program’s power. You’ll explore loops, one-dimensional (lists, strings) and two-dimensional (matrices) data structures, file handling, and algorithmic thinking. With an estimated 18 hours, this module emphasizes the importance of consistent practice.
**Module 4: Solving Problems with Matrices and Libraries** tackles the increasingly important area of data analysis. It introduces essential Python libraries like Numpy, Matplotlib, and Pandas, which are industry standards for data manipulation and visualization. The primary goal here isn’t just to master these libraries but to develop the crucial skill of adopting new libraries by reading documentation and solving progressively complex problems. This module requires about 20 hours of dedication.
Overall, “Programación en Python” is a well-structured and practical course that provides a solid foundation in Python programming. The active learning approach and the gradual introduction of concepts make it accessible for beginners while offering depth for those looking to refine their skills. I highly recommend this course for anyone looking to embark on their programming journey or enhance their existing capabilities.
Enroll Course: https://www.coursera.org/learn/programacion-python