No prior programming experience is required to start. A computer with a suitable Python environment is needed for practice. Libraries and development tools can differ from the recorded setup, so check compatibility when adapting an example.
About this course
Start programming in Python and progress through more demanding examples with this free Learn Skills Daily course. All four beginner, intermediate, advanced and expert-labelled classes are retained, with the introductory class placed first. The route is designed to build practical programming foundations through guided demonstrations.
Course at a glance
| Provider / Teaching team | Learn Skills Daily |
|---|---|
| Platform | YouTube · Learn Skills Daily |
| Access | Free Video |
| Level | Beginner |
| Language | English |
| Videos | 4 |
| Video duration | 4h 21m · allow extra time for practice |
| Format | Self-paced recorded training |
| Certificate | Not included with video viewing |
What you’ll learn
- Develop a foundation for writing and running Python programs in a suitable practice environment.
- Understand how values, logic and repeated steps can express a small computational task.
- Progress through the later classes while connecting each new technique with a concrete problem.
- Investigate an unexpected result and explain how a program’s inputs and steps produce its output.
Skills you’ll gain
- Python foundations
- Programming logic
- Control flow
- Problem decomposition
- Code reading
- Independent debugging
Course Overview
The course introduces Python as a general-purpose language and a way to solve problems with code. The publisher describes a beginner-friendly progression using installation, development environments and practical examples to explain core ideas. Work through the classes in order, paying attention to values, logic and the steps that turn an input into an output. Later labels describe the teaching sessions; completing a few hours of viewing does not by itself make someone an expert programmer. The useful outcome is a set of examples you can run, explain, modify and check independently.
How to study the course
- Start with the beginner class and reproduce small examples before moving into later topics. Read a program aloud in terms of the steps it performs.
- Keep the more advanced sessions connected to your own practice. Change an input, predict the result and investigate any difference between the prediction and the program.
Use the searchable classroom lesson list to revisit a specific explanation. Pause after a useful demonstration, reproduce a small example and explain the result in your own words. Keep a short note of what worked, what changed and what you still need to understand before moving on.
Who is this for?
This course suits new programmers, students and professionals exploring automation or further technical study. It also helps self-taught users who want a clearer progression through foundational Python ideas.
Before you start
No prior programming experience is required to start. A computer with a suitable Python environment is needed for practice. Libraries and development tools can differ from the recorded setup, so check compatibility when adapting an example.
Put the lessons into practice
Write a small program that summarises a list of invented workshop expenses. Define the input structure, calculate a total and report a simple category summary. Break the task into steps you can explain. Try an empty list, an unexpected value and a repeated category, then decide how the program should respond. Use the later classes to improve one part of the implementation without making it needlessly complex. Keep the original version and document the reasoning behind your changes.
This optional activity is provided by WikiFree for independent practice. It is not a graded assignment from the instructor. Keep your working notes, check the result against the task you defined and return to the relevant lesson when an assumption or technique is unclear.
Certificate / Assessment
Watching the public videos and using WikiFree progress tracking does not award a certificate, exam voucher, academic credit or instructor assessment.
Use your practice output to review what you can now explain and repeat independently. Completion tracking records your study progress; it does not replace an assessed qualification or professional experience.
Related courses for your next step
- Compare another approachFree Simplilearn Course: Python Programming for Beginners
Focus: Variables & Loops · Functions
Beginner - Compare another approachPython Programming and Practical Projects: Free Course
Focus: Python · Functions
Beginner - Compare another approachFree MIT Course: Python Programming and Computer Science for Beginners
Focus: Lecture 2: Strings, Input/Output, and Branching · Lecture 4: Loops over Strings, Guess-and-Check, and Binary
Beginner
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Python Programming: Free Course | Beginner | Python foundations · Programming logic · Control flow | 4h 21m of video; practice time is additional |
| Free Simplilearn Course: Python Programming for Beginners | Beginner | Variables & Loops · Functions · Object-Oriented Python | 35h 44m of video; practice time is additional |
| Python Programming and Practical Projects: Free Course | Beginner | Python · Functions · Classes | 20h 12m of video; practice time is additional |
| Free MIT Course: Python Programming and Computer Science for Beginners | Beginner | Lecture 2: Strings, Input/Output, and Branching · Lecture 4: Loops over Strings, Guess-and-Check, and Binary · Lecture 7: Decomposition, Abstraction, and Functions | 27h 48m of video; practice time is additional |
Frequently asked questions
Is this course free to watch?
Yes. The public video lessons can be viewed in the WikiFree classroom. Free viewing does not include paid software, service subscriptions, provider membership benefits or a credential.
How long does the course take?
The 4 source videos total approximately 4h 21m. Allow additional time for pausing, practice, reviewing an example and checking your own result.
What background do I need?
No prior programming experience is required to start. A computer with a suitable Python environment is needed for practice. Libraries and development tools can differ from the recorded setup, so check compatibility when adapting an example.
Does watching the course award a certificate?
No. Video viewing and WikiFree progress tracking do not award a certificate, credit or an exam voucher.
Can I study on a phone?
Yes. The classroom has a responsive player and searchable lesson list. A larger screen and suitable practice environment are helpful for following software demonstrations or technical examples.
Provider: Learn Skills Daily. Videos play from the Learn Skills Daily channel on YouTube.
Report a correction
Questions & discussion
Share a useful question or correction. Comments appear after moderation. Please avoid personal or sensitive information.