Open Source Programming - Master's from Coursera

What's inside

Syllabus

Module 1: Input, Processing, and Output

Welcome to Open Source Programming! In Module 1, students will be equipped with the ability to execute mathematical calculations using operators. Learners will master the art of annotating code through comments, declaring variables, and employing data conversion functions for robust program functionality. The module culminates in students applying their skills to design programs that solicit user input, process information, and clearly display results using the 'print' function, laying a strong foundation for proficient coding practices.

Module 2: Decision Structures and Boolean Logic

This module takes students into the depths of decision-making within software development, emphasizing the construction of nested decisions and the application of Boolean logic through logical operators. Participants will learn to adeptly use decision structures to evaluate and manipulate strings, honing their ability to write conditions that guide program flow. The coursework focuses on developing the skill to implement both primary and alternate decision paths, ensuring students can craft complex, logical, and responsive code structures.

Module 3: Repetition Structures

This module introduces students to the intricacies of validating user input across various data types, ensuring robust data handling in programming. Learners will explore the power of nested loops to perform complex iterations and develop the skill to manage running totals within loops for effective data processing. The course also covers the strategic use of sentinel values for loop control, giving users the ability to determine the sequence flow. Emphasis is placed on mastering repetition through popular looping constructs like 'while' and 'for' loops, equipping students with the tools to write efficient and controlled looping mechanisms.

Module 4: Functions

This module introduces the essential skills for enhancing program modularity and efficiency through the use of system and custom modules. Students will learn to import pre-existing system modules, create their own, and understand the mechanics of importing them into new programs. The course places a strong emphasis on defining user functions, passing arguments effectively, and returning values, reinforcing the concept of code reusability and the development of well-structured, modular code.

Module 5: File and List Processing

This module delves into the manipulation of complex data structures, teaching students how to efficiently process lists within lists and utilize tuples as immutable sequences for data integrity. Learners will master slicing techniques for swift retrieval of data from lists, and understand how to aggregate multiple data items within single list variables for organized storage and access. Additionally, the module covers the creation and processing of file-based data storage, along with robust exception handling practices to ensure error-free file operations, empowering students with the tools for sophisticated data handling and resilience in programming.

Module 6: More on Strings, Dictionaries and Sets

This module guides students through the learning process of serializing various objects, such as lists and dictionaries, allowing for persistent storage to files. Students will learn how sets are created and manipulated to handle unique elements efficiently, enhancing their data structuring skills. The course also dives into the creation and utilization of dictionaries, emphasizing key-based retrieval to traverse and manipulate key-value pairs, equipping students with advanced techniques for data organization and retrieval in Python programming.

Module 7: Classes and Objects & Inheritance

In this module, students will explore the dynamic capabilities of object-oriented programming (OOP) by creating versatile classes that demonstrate polymorphism through multiple forms of inheritance. They will learn how to extend the functionality of existing classes, allowing for the refined expansion of an application's capabilities. The course provides a practical approach to OOP principles, guiding students through the construction and instantiation of classes and objects, laying the foundation for robust and scalable software design.

Module 8: Graphical User Interfaces and Intro to Database Programming with SQLite3

This module offers a practical approach to database programming using SQLite3, a user-friendly database system renowned for its lightweight nature. Students will understand how to craft database tables, execute record operations such as inserts, updates, and deletes using SQLite3's diverse methods. Additionally, the course will cover establishing database connections to manage structured data sources effectively. As a step further into application development, learners will also acquire the skills to create sophisticated Graphical User Interfaces (GUIs) complete with an array of interactive widgets. Covered also will be insights on how to merge backend logic with frontend aesthetics. Also included in this module are supplemental topics covering Test Driven Development or 'Unit Testing' and Web scraping techniques.

Summative Course Assessment

This module contains the summative course assessment that has been designed to evaluate your understanding of the course material and assess your ability to apply the knowledge you have acquired throughout the course. Be sure to review the course material thoroughly before taking the assessment.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides a solid foundation for those interested in learning Python fundamentals

Develops skills in working with data structures, databases, and GUIs, which are essential for full-stack development

Covers modern open-source frameworks and tools, such as Python and Visual Studio Code, which are widely used in industry

Provides a comprehensive overview of the Python programming language, covering topics from basic syntax to object-oriented programming

Provides hands-on exercises and a culminating project to reinforce concepts and help learners apply their skills

Assumes basic computer literacy and some familiarity with Python programming

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Open Source Programming - Master's with these activities:

Review the course syllabus and learning outcomes

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Ensure you have a clear understanding of the course expectations and learning goals.

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Read the course syllabus thoroughly
Identify the key learning outcomes

Review Python programming basics

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Refresh your Python programming skills to ensure you have a strong foundation for the course.

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Review variables, data types, and operators
Practice writing simple Python programs

Read 'Starting Out with Python'

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Reinforce your Python knowledge by reading the assigned textbook.

View Starting Out with Python [Global Edition] on Amazon

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Read the assigned chapters
Take notes on key concepts

Six other activities

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Complete Python tutorials on loops and functions

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Enhance your understanding of Python loops and functions through guided tutorials.

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Identify reputable Python tutorials
Follow the tutorials step-by-step
Practice implementing loops and functions

Mentor a beginner in Python programming

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Reinforce your Python knowledge and help others by mentoring a beginner in the language.

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Identify a beginner who needs guidance
Share your Python knowledge and skills
Provide feedback and support

Practice writing Python programs on LeetCode

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Improve your problem-solving and Python skills by solving LeetCode problems.

Browse courses on Python Programming

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Create a LeetCode account
Select appropriate Python problems
Attempt to solve problems independently
Review solutions and learn from mistakes

Contribute to an open-source Python project

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Gain practical experience and contribute to the Python community by contributing to an open-source project.

Browse courses on Python

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Identify a suitable open-source Python project
Understand the project's goals and codebase
Make meaningful contributions to the project

Develop a Python project to solve a real-world problem

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Apply your Python skills to solve a real-world problem and deepen your understanding of the language.

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Identify a problem that can be solved using Python
Design and develop a solution
Test and refine your solution
Present your solution to others

Participate in a Python coding competition

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Challenge yourself and improve your Python skills by participating in a coding competition.

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Identify a suitable coding competition
Prepare for the competition
Participate in the competition
Review your performance and learn from the experience

Career center

Learners who complete Open Source Programming - Master's will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists are in high demand as businesses seek to leverage data for strategic decision-making. This course offers a solid foundation in Python, a language commonly used for data analysis and machine learning tasks. By learning object-oriented, concurrent, and functional programming paradigms, you'll enhance your problem-solving abilities and become well-equipped for a successful career in data science.

See salaries and explore the career path for Data Scientist

Web Developer

Web Developers specialize in designing and developing websites and applications. This course offers a comprehensive understanding of web programming concepts, including dynamic scripting languages, system design, and graphical user interface development. Whether you aspire to work on the frontend, backend, or full-stack development, this course will provide a valuable foundation for your career journey.

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Python Developer

With a versatile programming language like Python under your belt, becoming a Python Developer may be the perfect next step. They are responsible for crafting the backend and frontend of websites and programs alike. The concepts and skills taught in this Open Source Programming course, including system design and development, will build a solid foundation for a career in this field.

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Software Engineer

Software Engineers design, develop, and maintain software systems. The Open Source Programming course aligns well with this role as it introduces contemporary open-source programming languages and frameworks used in the industry. By gaining proficiency in these technologies, you'll be well-equipped to contribute to the creation of robust and scalable software solutions.

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Mobile Application Developer

Mobile Application Developers create and maintain applications for smartphones and tablets. The Open Source Programming course offers a solid foundation for this field by introducing students to the concepts of system design, graphical user interface development, and network programming. With the growing popularity of mobile devices, this course can equip you with the skills to succeed in the mobile app development industry.

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User Experience Designer

User Experience Designers focus on enhancing the overall user experience of software products. The Open Source Programming course provides a strong foundation for this role by covering topics such as graphical user interface development and system design. By understanding the technical aspects of software development, you'll be well-equipped to design user interfaces that are both visually appealing and highly functional.

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Database Administrator

Database Administrators manage and maintain database systems. This course offers an introduction to database programming using SQLite3, which will provide you with a basic understanding of data management concepts. Additionally, the course covers file processing, which is essential for working with data in a real-world setting.

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Cloud Architect

Cloud Architects design and manage cloud computing systems. The Open Source Programming course may be useful for aspiring Cloud Architects as it covers concepts such as system design, network programming, and software development. Understanding these concepts will help you build a strong foundation for designing and implementing scalable and efficient cloud solutions.

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IT Manager

IT Managers oversee the planning, implementation, and maintenance of computer systems and networks. The Open Source Programming course may be useful for aspiring IT Managers as it provides a broad overview of programming languages, frameworks, and software development concepts. This knowledge will help you better understand the technical aspects of IT systems and make informed decisions about their management.

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Information Security Analyst

Information Security Analysts protect computer systems and networks from unauthorized access or attacks. The Open Source Programming course may be useful for aspiring Information Security Analysts as it provides a basic understanding of system design, network programming, and software development. These concepts are essential for understanding the vulnerabilities and threats that exist in computer systems and networks, and for developing effective security measures.

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Technical Writer

Technical Writers create and maintain technical documentation, such as user manuals, training materials, and white papers. The Open Source Programming course may be useful for aspiring Technical Writers as it provides a solid understanding of programming concepts and technologies. This knowledge will enable you to clearly explain technical information to a non-technical audience.

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Computer Systems Analyst

Computer Systems Analysts design, implement, and maintain computer systems and networks. The Open Source Programming course may be useful for aspiring Computer Systems Analysts as it provides a basic understanding of system design, network programming, and software development. This knowledge will help you understand the requirements of users and develop effective solutions.

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Business Analyst

Business Analysts work with stakeholders to understand their business needs and develop solutions that meet those needs. The Open Source Programming course may be useful for aspiring Business Analysts as it provides a basic understanding of programming concepts and technologies. This knowledge will enable you to better understand the technical aspects of business problems and develop more effective solutions.

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Project Manager

Project Managers plan, execute, and close projects. The Open Source Programming course may be useful for aspiring Project Managers as it provides a basic understanding of system design, project management, and software development. This knowledge will help you understand the technical aspects of projects and manage them effectively.

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Quality Assurance Analyst

Quality Assurance Analysts test and evaluate software products to ensure they meet quality standards. The Open Source Programming course may be useful for aspiring Quality Assurance Analysts as it provides a basic understanding of programming concepts and technologies. This knowledge will enable you to better understand the technical aspects of software products and evaluate their quality.

See salaries and explore the career path for Quality Assurance Analyst