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Requirements
- Basic Computer Skills: Applicants should have basic knowledge of using a computer, including file management and internet browsing. No prior programming experience is required.
- Personal Laptop or Desktop Computer: Students must have access to a laptop or desktop computer (Windows, macOS, or Linux) capable of running Python 3.x and related development tools.
- Software Installation Access Learners should be able to install required software such as Python, code editors (e.g., VS Code), and learning tools on their device.
- Reliable Internet Connectivity: A stable internet connection is necessary for accessing learning materials, downloading resources, submitting assignments, and attending online or hybrid sessions.
- Commitment to Learning and Practice: Students are expected to actively participate in lessons, complete practical coding exercises, and engage in hands-on projects to build real-world Python skills.
Features
- The course is structured to take learners from fundamental Python concepts to practical, real-world applications with no prior programming experience required.
- Learners engage in practical exercises, coding labs, and real-world projects that reinforce concepts and build job-ready skills.
- Content is aligned with current industry needs, covering automation, data handling, scripting, and an introduction to data analysis and AI concepts.
- Training is delivered by professionals with real-world software development and enterprise experience.
- Training is delivered by professionals with real-world software development and enterprise experience.
- Learners receive a recognized certificate upon successful completion, supported by assessments that validate practical competence.
Target audiences
- Corporate Professionals and Teams: Employees seeking to enhance productivity through scripting, automation, and data-driven decision-making using Python.
- IT, Software, and Technical Professionals: Developers, system administrators, and IT support staff requiring Python for backend development, system automation, and integration tasks.
- Data, Finance, and Analytics Departments: Analysts and finance professionals using Python for data analysis, reporting, forecasting, and business intelligence.
- Engineering and Operations Teams: Technical and operations personnel leveraging Python for process optimization, monitoring, simulations, and workflow automation.
- Organizations Undergoing Digital Transformation: Companies aiming to adopt automation, AI, data analytics, and modern software practices to improve efficiency and competitiveness.
Featured Review
The Python course at Orbital Geospatial College is exceptionally well structured and practical. The concepts are introduced clearly, starting from the basics and progressing smoothly into real-world applications. What stood out most was the hands-on approach. Every lesson reinforced theory with practical exercises that made learning intuitive and engaging. The instructors demonstrate strong industry knowledge and are highly supportive, ensuring no learner is left behind. This course is ideal for beginners and professionals looking to build a solid, job-ready foundation in Python programming.
Fundamentals of Python Programming provides a comprehensive foundation in programming concepts and skills, and is aligned to the scope of most introductory courses. A wide array of scenarios, contexts, and problems reflect programming applications in many disciplines and careers. The offering is suitable for a diverse learner audience, including those pursuing computer science, business, science, social science, statistics, data science, and related areas of study and employment.
Learn how to read and write code as well as how to test and “debug” it. Designed for students with or without prior programming experience who’d like to learn Python specifically. Learn about functions, arguments, and return values (oh my!); variables and types; conditionals and Boolean expressions; and loops. Learn how to handle exceptions, find and fix bugs, and write unit tests; use third-party libraries; validate and extract data with regular expressions; model real-world entities with classes, objects, methods, and properties; and read and write files. Hands-on opportunities for lots of practice.
Fundamentals of Python Programming is an interactive offering that teaches basic programming concepts, problem-solving skills, and the Python language using hands-on activities. The resource includes a unique, integrated code runner, through which students can immediately apply what they learn to check their understanding. Embedded videos, critical thinking exercises, and explorations of external programming tools and activities all contribute to a meaningful and supportive learning experience.
Curriculum
- 10 Sections
- 110 Lessons
- 6 Weeks
Expand all sectionsCollapse all sections
- Section 1Introduction to Programming and Python10
- Section 2Getting started with Variables, Data Types and Operators13
- Section 3Control Flow and Decision Making15
- Section 4Introduction to Loops and Iteration10
- Section 5Data Structures in Python programming13
- Section 6Functions and Modular Programming14
- Section 7Strings and File Handling14
- Section 8Error Handling and Debugging in Python10
- Section 9Object-Oriented Programming10
- Section 10Practical Applications and Case study Project11
No. This course is designed for beginners and starts from fundamental concepts before progressing to more advanced topics.
Anyone can join the course as long as they have basic computer skills.
The course duration varies by learning mode. Typically, it runs between 4 to 18 weeks, with flexible scheduling for individuals and corporate teams.
The course is offered in on-site, online, and hybrid formats. Additionally, corporate clients may also request customized delivery schedules.
You will need a laptop or desktop computer capable of running Python 3.x. Required tools such as Python, VS Code or Pycharm and relevant libraries will be guided during onboarding.
Yes. Participants who successfully complete the course and assessments will receive a NITA Approved certificate of completion from Orbital Geospatial College.
Yes. The course can be tailored and customized for corporate training, focusing on automation, data analysis, or role-specific Python projects and applications.
Yes. The course emphasizes hands-on learning through coding exercises, mini-projects, and real-world use case studies.
Graduates gain practical Python skills applicable in software development, data analysis, automation, AI/ML and business process optimization.
Requirements
- Basic Computer Skills: Applicants should have basic knowledge of using a computer, including file management and internet browsing. No prior programming experience is required.
- Personal Laptop or Desktop Computer: Students must have access to a laptop or desktop computer (Windows, macOS, or Linux) capable of running Python 3.x and related development tools.
- Software Installation Access Learners should be able to install required software such as Python, code editors (e.g., VS Code), and learning tools on their device.
- Reliable Internet Connectivity: A stable internet connection is necessary for accessing learning materials, downloading resources, submitting assignments, and attending online or hybrid sessions.
- Commitment to Learning and Practice: Students are expected to actively participate in lessons, complete practical coding exercises, and engage in hands-on projects to build real-world Python skills.
Features
- The course is structured to take learners from fundamental Python concepts to practical, real-world applications with no prior programming experience required.
- Learners engage in practical exercises, coding labs, and real-world projects that reinforce concepts and build job-ready skills.
- Content is aligned with current industry needs, covering automation, data handling, scripting, and an introduction to data analysis and AI concepts.
- Training is delivered by professionals with real-world software development and enterprise experience.
- Training is delivered by professionals with real-world software development and enterprise experience.
- Learners receive a recognized certificate upon successful completion, supported by assessments that validate practical competence.
Target audiences
- Corporate Professionals and Teams: Employees seeking to enhance productivity through scripting, automation, and data-driven decision-making using Python.
- IT, Software, and Technical Professionals: Developers, system administrators, and IT support staff requiring Python for backend development, system automation, and integration tasks.
- Data, Finance, and Analytics Departments: Analysts and finance professionals using Python for data analysis, reporting, forecasting, and business intelligence.
- Engineering and Operations Teams: Technical and operations personnel leveraging Python for process optimization, monitoring, simulations, and workflow automation.
- Organizations Undergoing Digital Transformation: Companies aiming to adopt automation, AI, data analytics, and modern software practices to improve efficiency and competitiveness.





