Python Programming: Free 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 lessons follow their teaching progression from foundations to later material; every original source position and full session is retained.

Video 1 of 4 54:45

Python Beginner Tutorial

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.

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 course focus, level and study time
Compare the published course outlines. A lower level is a preparation option, not a required prerequisite.
CourseLevelFocusStudy time
This course — Python Programming: Free CourseBeginnerPython foundations · Programming logic · Control flow4h 21m of video; practice time is additional
Free Simplilearn Course: Python Programming for BeginnersBeginnerVariables & Loops · Functions · Object-Oriented Python35h 44m of video; practice time is additional
Python Programming and Practical Projects: Free CourseBeginnerPython · Functions · Classes20h 12m of video; practice time is additional
Free MIT Course: Python Programming and Computer Science for BeginnersBeginnerLecture 2: Strings, Input/Output, and Branching · Lecture 4: Loops over Strings, Guess-and-Check, and Binary · Lecture 7: Decomposition, Abstraction, and Functions27h 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.

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Provider: Learn Skills Daily. Videos play from the Learn Skills Daily channel on YouTube.

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