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Beginner No prior programming needed

Learn Python from your first variable to your own classes.

Twenty-nine hours from your first line of syntax to writing object-oriented Python - every concept demonstrated on screen, then graded.

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≈ 29 hours 4 modules · 76 lessons Beginner · start from zero English · 9 subtitle languages
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Lesson preview · Python Basics · 1:50

Dive Deep into Python

By Board Infinity · Offered on Coursera

  • 76 video lessons · 19 graded assignments
  • Runs in your browser - nothing to install
  • Shareable certificate on completion
  • Flexible schedule - fully self-paced
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Every concept on screen

76 short lessons, each one demonstrated in a live editor

Certificate included

Shareable on LinkedIn the day you finish

Graded, not just watched

19 assignments across the four modules

6 Lakh+learners on our Coursera courses
10+domains covered
270+courses
57+specializations
01 About the course

One course that goes all the way to objects.

Most beginner Python courses stop at loops. This one keeps going - through data structures and functions into classes, inheritance and file handling.

4
Modules
Syntax to OOP
76
Video lessons
Averaging 11 minutes
19
Graded assignments
Quizzes after every topic
29h
Total learning time
Self-paced, flexible deadlines

Dive Deep into Python is a ground-up course for people who want to actually write Python, not just recognise it. It starts with the things every tutorial skips - indentation, identifiers, type casting, how the operators really behave - and does not stop until you are writing your own classes and reading and writing files.

The shape is consistent across all four modules: a short screen-recorded lesson, then a quiz on the same idea. There are 76 lessons and 19 graded assignments, so on average you are answering for what you just learned every four lessons.

It assumes no prior programming background. Module one sets up your editor, walks through Kaggle and GitHub, and gets your first program running before it introduces a single loop.

Inside the course
01Foundations of Python Programming≈ 8h 02Python Programming Essentials≈ 6h 03Python Data Structures and Functions≈ 7h 04Python OOPs and File Handling≈ 8h
02 Who it's for

For anyone who keeps almost learning Python.

If one of these is you, the course was built for exactly this starting point.

Complete beginners

Never written code before

You have never opened an editor. Module one starts at what a variable is, and assumes nothing about IDEs, repositories or data types.

Self-learners

Three tutorials in, still stuck

You can follow along but cannot write anything from a blank file. The 19 graded quizzes are the difference - you find out what you actually know.

Analysts

Living in spreadsheets

You have hit the ceiling of what a sheet can do. Lists, dictionaries and file handling are exactly the tools that take you past it.

Students

Need Python for the next thing

Data science, automation and AI courses all assume Python. This is that prerequisite, taught properly rather than skimmed.

03 What you'll learn

Four capabilities, in the order they build.

This is a concepts course rather than a projects course - what you leave with is the ability to write these things yourself, from an empty file.

Module 1–2

Write and reason about Python syntax

Variables, type casting, every operator family, input handling, conditionals and both loop forms - plus strings, which is where most beginners quietly get lost.

Module 3

Choose the right data structure

Lists, tuples, dictionaries and sets - what each one is for, which are mutable, and why picking wrongly makes code slow and fragile.

Module 3–4

Structure code with functions and classes

Functions, arguments and scope, then object-oriented Python properly: classes and objects, inheritance, polymorphism and encapsulation.

Module 4

Work with files and handle failure

Reading and writing files, managing directories, and exception handling - so your programs survive bad input instead of stopping at the first error.

1:1 coaching · optional add-on

Learn Python with someone in your corner.

A dedicated coach who writes Python for a living - someone who can look at the error you have stared at for an hour and tell you why.

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Get unstuck in minutes

The error you have stared at for an hour, explained by someone who has seen it.

Your code read line by line

Not just whether it runs - whether you would want to maintain it.

Practice beyond the quizzes

Problems set for you, then reviewed, so the syntax turns into fluency.

Aim it at a role

Which Python path fits you - data, backend or automation - and what to learn next.

2,000+Industry coaches
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04 Syllabus

Four modules, from your first variable to your own classes.

Twenty-nine hours end to end, fully self-paced. Every module lists its learning objectives, exactly what is inside it, and what you leave with.

76 videos 17 readings 19 assignments ≈ 29 hours Download full syllabus
Learning objectives - by the end of this module you can:
  • Set up an editor, a GitHub account and a Kaggle account, and run your first program
  • Use variables, identifiers and type casting correctly, and explain Python's indentation rule
  • Work with every operator family - arithmetic, assignment, comparison, membership and bitwise
  • Take input, branch with if and nested if-else, and control a loop with break
What's inside
22 videos192 min
5 readings130 min
5 assignments120 min
1 plugin15 min
Topics covered
Python IDE setup GitHub & Kaggle Identifiers & variables Type casting Operators Input handling Conditionals
You leave with: a working Python setup and your first programs - variables, operators and branching, all running.
Learning objectives - by the end of this module you can:
  • Choose between a while loop and a for loop, and write both without a reference
  • Explain why strings are immutable and what that means for the code you write
  • Use built-in string functions, split and join, slicing and string formatting
  • Create and manipulate arrays: indexing, slicing, concatenation, membership and looping
What's inside
15 videos174 min
3 readings90 min
4 assignments105 min
Topics covered
While & for loops String immutability Built-in string functions Split & join String formatting Arrays Slicing
You leave with: fluency with loops, strings and arrays - the pieces every later Python program is assembled from.
Learning objectives - by the end of this module you can:
  • Pick the right structure between a list, a tuple, a dictionary and a set, and justify the choice
  • Explain which structures are mutable and why that changes how you pass them around
  • Use the built-in functions for each structure rather than writing loops by hand
  • Write your own functions with arguments and return values, and reason about scope
What's inside
19 videos205 min
4 readings120 min
5 assignments120 min
Topics covered
Lists Tuples Dictionaries Sets Mutability Built-in functions Functions & scope
You leave with: the judgement to pick the right data structure, and your own functions to organise code.
Learning objectives - by the end of this module you can:
  • Design a class, create objects from it, and return instances from a function
  • Apply inheritance, polymorphism and encapsulation to keep code modular
  • Read from and write to files, and manage directories from Python
  • Handle errors and exceptions so a program survives bad input instead of crashing
What's inside
20 videos239 min
5 readings130 min
5 assignments120 min
Topics covered
Classes & objects Inheritance Polymorphism Encapsulation File read/write Directory handling Exception handling
You leave with: object-oriented Python: your own classes with inheritance, reading and writing files, and code that handles failure.
05 Tools & skills

The tools you work in, and the skills you leave with.

Nothing to install before you start - module one sets all of it up on screen.

The language
Python logo

Python

The whole course. Syntax, data structures, functions, classes, files and exceptions.

Where you write
A Python IDE logo

A Python IDE

Set up in the first lessons, so you are writing in a real editor rather than a toy console.

Where code lives
GitHub logo

GitHub

Introduced in module one - what a repository is, and why every Python job expects you to use one.

Where you practise
Kaggle logo

Kaggle

Covered up front as the place to keep writing Python against real datasets after the course.

Skills you leave with

The eleven capabilities Coursera lists for this course, grouped the way the work actually splits - writing it, structuring it, and designing it.

Writing Python

Getting the language to do what you actually meant.

  • Computer programming
  • Programming principles
  • Computational logic
  • Algorithms

Structuring data

Holding information in a shape you can work with.

  • Data structures
  • Data storage
  • File I/O
  • File management

Designing code

Writing something a second person can read.

  • Object-oriented programming
  • Object-oriented design
  • Code reusability
Certificate

Proof you can link to.

Finish the graded work and Board Infinity issues a certificate through Coursera - with a public verification link and a one-click path onto your LinkedIn profile.

Issued on completion of all 19 graded assignments across the four modules.

On your profile in one click

Filed under Licenses & Certifications, where recruiters actually look.

Anyone can verify it

Its own verification link, so a hiring manager confirms it in seconds.

Earned, not attended

Awarded on 19 graded assignments - it certifies what you can do.

Two names on it

Board Infinity as the provider, Coursera as the platform.

06 Career impact

Python is the entry ticket - and then it keeps paying.

Almost nothing in data, AI or automation starts without it. These are the roles that list it first.

Where this skill is the prerequisite

Python Developer

The direct path. Everything after this course - frameworks, APIs, testing - assumes exactly what module four covers.

Data Analyst

Where spreadsheets stop. Lists, dictionaries and file handling are what let you process data that will not fit in a sheet.

Machine Learning & AI

Every ML library is a Python library. Courses in deep learning and LLMs open assuming you already have this.

Automation & Ops

File handling and exception handling are exactly what scripts that run unattended are made of.

QA & Test Automation

Test suites are written in Python more than any other language, and classes are how they stay maintainable.

Career switchers

The prerequisite that unlocks the rest of a catalogue. Do it once, properly, and stop restarting from module one elsewhere.

The honest comparison

Python is free to learn. So what is this?

Every topic in this course exists free somewhere on the internet. Nobody is pretending otherwise. What a course adds is the order you learn it in, the checking that makes it stick, and something to show at the end.

What you get
This course
Free videos and blogs
A sequenced pathSyntax → structures → functions → OOP
4 modules that build on each other
Whatever the algorithm shows you
Someone checkingLearning that sticks
19 graded assignments
You never find out what you missed
It goes far enoughMost free courses stop at loops
Inheritance, files and exceptions
Usually ends before objects
Nothing to set upThe usual first hurdle
Setup taught on screen in module 1
Where most beginners quit
Proof for recruitersVerifiable, on LinkedIn
Certificate with a verification link
Nothing to show
07 Where to go next

Python is the base. Here is what it unlocks.

This course stands on its own. These are the Board Infinity courses that assume it and build straight on top.

Turn data into charts

Data Visualization and Storytelling with Plotly in Python

The natural next step once you can hold data in a list or a dictionary: making other people understand it.

View course Ship something

Real-Time Dashboards in Python: Streamlit & Live Data

Take the functions and file handling from module four and put a live interface in front of them.

View course Go analytical

Time Series Forecasting with Python: Models to Production

Where Python starts doing the thinking - forecasting models built on the structures you learned here.

View course

Board Infinity runs 270+ courses and 57 specializations on Coursera - browse the full catalogue.

Know exactly what you're signing up for.

4 modules · 76 lessons · 19 graded assignments · free PDF

08 FAQ

Common questions

Everything learners ask before enrolling, answered plainly.

About the course

You'll learn Python end to end across four modules: setup and syntax (variables, identifiers, type casting, indentation), every operator family, input handling and control flow; loops, strings and arrays; lists, tuples, dictionaries, sets and your own functions; then object-oriented Python - classes and objects, inheritance, polymorphism and encapsulation - plus file handling, directory management and exception handling. That's 76 video lessons, 17 readings and 19 graded assignments.

No. The course is built for people starting from zero. Module one sets up your Python IDE on screen, introduces GitHub and Kaggle, and walks through your first program before it introduces a single loop. A basic sense of how computers work helps, but nothing is assumed.

About 29 hours of learning across 4 modules. Coursera's own guidance is roughly three weeks at ten hours a week. It's fully self-paced, so deadlines flex around you - evenings and weekends will stretch it to a month or two, and that's fine.

Nothing in advance. Module one covers setting up a Python IDE, and introduces Kaggle and GitHub as places to write and store code. Everything you need is free.

Yes - this page is Board Infinity's own overview of our course. Enrollment, payment, video lessons, grading and the certificate all happen on Coursera, where the course is hosted. Think of this page as the detailed tour before you head there.

The price is shown at checkout on the Coursera course page and can vary by region. It's included at no extra cost with a Coursera Plus subscription, and Coursera's financial aid is available to eligible learners.

Career & certificate

Yes. Completing the 19 graded assignments earns you a shareable certificate from Board Infinity, issued through Coursera with its own verification link. Coursera's one-click button adds it straight to the Licenses & Certifications section of your LinkedIn profile.

It's the foundation, not the finish line. This course gets you to the point where you can write and read Python confidently, including object-oriented code - which is the level most data, automation and backend courses assume as their starting point. Roles will also want a specialisation on top: pandas and SQL for analytics, a web framework for backend, or ML libraries for AI work.

Because it's where most beginner Python stops, and it's what separates writing scripts from writing software other people can use. Classes, inheritance and encapsulation are how real Python codebases are organised, and every framework you'll meet later is built out of them.

It depends where you're aiming. For analytics, move to data visualisation and dashboards. For AI and machine learning, Python is the prerequisite for every library you'll touch next. For automation, file handling and exceptions from module four are already most of what you need. The Where to go next section lists three Board Infinity courses that build straight on this one.

It's the default language of data work, machine learning and automation, and it stays the most common first language taught in universities. The specific reason it's worth learning properly rather than partially is that everything downstream - every library, every framework, every AI course - assumes you already have the fundamentals this course covers.

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