Dive Deep into Python - Beginner to OOP in 29 Hours | Board Infinity
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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 level English · 9 languages available
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Board Infinity287 courses · 479,274 learners on Coursera
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Every concept on screen

76 short lessons, each one demonstrated in code

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
Assignments
Quizzes after every topic
29h
Total learning time
3 weeks at 10 hours a week

Dive Deep into Python takes you from a foundational understanding of Python to its finer points, building a skill set fit for real software work.

You start with the foundations - setting up your tools, then data types, operators and control flow - and move on to the programming essentials: loops, strings, arrays and lists. Next come Python's data structures and functions, from lists, tuples and sets to dictionaries and lambda functions.

The final module covers object-oriented programming and file handling - classes, objects, inheritance and polymorphism, reading and writing files, managing directories and handling exceptions.

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

Built for people who want to actually write Python.

A basic grasp of programming helps, but it isn't required - the course starts from the foundations.

Beginners

Complete beginners

Module one sets up your editor, walks through Kaggle and GitHub, and gets your first program running.

Students

Students

A programming foundation for coursework, placements and technical interviews.

Switching languages

Developers new to Python

Pick up Python's syntax, data structures and approach to OOP if you already code in another language.

Data & ML

Aspiring data & ML learners

The core Python that data analysis, automation and machine learning all build on.

03 What you'll learn

Four capabilities, in the order they build.

These are the four learning outcomes Coursera lists for the course - each one the product of whole modules, not a single lesson.

Modules 1-2

Understand core Python

Core concepts, data types, operators, control flow, loops and strings - the essentials of programming in Python.

Module 3

Work with data structures

Lists, tuples, dictionaries and sets for effective data management and manipulation, plus reusable functions.

Module 4

Master object-oriented Python

Modular code with classes and objects, inheritance, polymorphism, encapsulation and abstraction.

Module 4

Handle files and errors

Read and write files, manage directories, and handle errors and exceptions robustly.

1:1 coaching · optional add-on

Learn Python with someone in your corner.

A dedicated coach who writes code for a living - someone who can read the traceback with you, and tell you whether your solution is the one a reviewer would accept.

Book a demo session
  • A coach matched to your goal in 24 hours
  • A written roadmap you keep
  • Weekly sessions for as long as you want them

60-minute demo session · 100% refundable · no obligation to continue

Get unstuck in minutes

The error you can't read or the loop that won't stop, explained by someone who has fixed it before.

Your code reviewed

Not just whether it runs - whether it's readable, structured and Pythonic.

Practice beyond the quizzes

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

Aim it at a role

What to learn after Python - data, web, automation or machine learning.

2,000+Industry coaches
16Domains covered
4.8/5Average coach rating
48,000+Sessions delivered
04 Syllabus

Four modules, from syntax to objects.

About 29 hours - 3 weeks at 10 hours a week - fully self-paced. Every module lists its learning objectives, its content, and what you'll walk out with.

76 videos 17 readings 19 assignments ≈ 29 hours
Learning objectives - by the end of this module you can:
  • Set up a Python IDE and use Kaggle and GitHub alongside it
  • Write correctly indented code with comments, identifiers and keywords
  • Use variables, type casting and arithmetic, comparison and bitwise operators
  • Control program flow with input(), if, nested if-else and break
What's inside
22 videos192 min
5 readings130 min
5 assignments + 1 plugin135 min
Topics covered
Python IDE, Kaggle & GitHub Indentation & comments Identifiers, keywords & variables Type casting Operators if, nested if-else & break
You'll leave with: your first working Python programs, and the syntax and logic every later module builds on.
Learning objectives - by the end of this module you can:
  • Repeat work with while and for loops
  • Explain why strings are immutable and use concatenation and repetition
  • Use built-in string functions, split and join, test cases and formatting
  • Index, slice, loop over and modify arrays with built-in functions
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 & formatting Array indexing & slicing Built-in array functions
You'll leave with: the loops and string and array handling to work with real data in Python.
Learning objectives - by the end of this module you can:
  • Work with lists and explain why they are mutable
  • Index, slice and use built-in functions on tuples and sets
  • Store and look up data with dictionaries and their methods
  • Write functions, compose them, pass arguments and use lambda functions
What's inside
19 videos205 min
4 readings120 min
5 assignments120 min
Topics covered
Lists & mutability Tuples Sets Dictionaries Functions & arguments Lambda functions
You'll leave with: the data structures and reusable functions behind efficient, organised Python code.
Learning objectives - by the end of this module you can:
  • Create classes and objects, and return instances from functions
  • Apply inheritance, polymorphism, encapsulation and abstraction
  • Read files, use file modes, and make, rename, change and remove directories
  • Tell errors from warnings and handle exceptions with try statements
What's inside
20 videos239 min
5 readings130 min
5 assignments120 min
Topics covered
Classes & objects Inheritance & polymorphism Encapsulation & abstraction Reading files & file modes Directory operations Exception handling
You'll leave with: modular, object-oriented Python that reads and writes files and fails gracefully.
05 Tools & skills

The tools you set up in the very first module.

Where you write and share your code, and the skills you leave with.

Language

Python

The language itself - syntax, data structures, functions and OOP across all four modules.

Editor

Python IDE

The development environment where you write, run and debug your code, set up in Module 1.

Notebooks

Kaggle

Online notebooks and datasets for practising Python without a local setup.

Version control

GitHub

Where code is stored, shared and tracked - and where your portfolio lives.

Skills you leave with

Twelve skills from the course, grouped the way programming actually splits - the fundamentals, organising data and code, and working with files reliably.

Programming foundations

How programs are written, and how they think.

  • Computer programming
  • Programming principles
  • Python programming
  • Algorithms

Data & structure

Organising data and code so it scales.

  • Data structures
  • Data storage
  • Object-oriented programming
  • Code reusability

Files & reliability

Programs that work with real files and fail gracefully.

  • File I/O
  • File management
  • Directory operations
  • Exception handling
Certificate

Proof you can link to.

Finish the graded work and Board Infinity issues a shareable certificate through Coursera - add it to your LinkedIn profile, resume or CV.

Issued on completion of the practice and graded quizzes in all four modules.

On your profile in one click

Filed under Licenses & Certifications, where recruiters actually look.

Share it anywhere

On social media and in your next performance review.

Earned, not attended

Awarded on 19 graded and practice 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 first language on a lot of job descriptions.

These are the roles that build on exactly this foundation.

Where these skills are in demand

Python Developer

The role this course maps to most directly: writing and maintaining Python code.

Software Developer

Modular, object-oriented code that a team can read and extend.

Data Analyst

Python data structures and file handling are the base of every analysis script.

Automation Engineer

Scripts that read files, manage directories and handle errors on their own.

Backend Developer

The Python behind web frameworks and APIs starts with exactly these concepts.

QA / Test Engineer

Writing Python test scripts and automating checks.

Machine Learning Engineer

Every ML library assumes the Python fundamentals covered here.

Computer Science Student

A programming foundation for coursework, placements and coding interviews.

The honest comparison

What you're actually paying for

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 practice that makes it stick, and something to show at the end.

What you get
This course
DIY with free content
A deliberate orderSyntax → data structures → OOP
Four modules, each building on the last
Tutorials in random order
Practice with feedbackLearning that sticks
19 practice and graded quizzes
Nobody checks your work
Beyond the basicsPast loops
OOP, file handling and exceptions
Courses that stop at for loops
Set up properlyFrom day one
IDE, Kaggle and GitHub in Module 1
Hours lost to setup problems
Proof for recruitersShareable, on LinkedIn
Shareable Coursera certificate
Nothing to show
07 Where to go next

Where to go after Python.

This course stands on its own. When you finish, these Board Infinity courses on Coursera put your Python to work on real projects.

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≈ 2 weeks · Intermediate
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Real-Time Dashboards in Python: Streamlit & Live Data

Build production-quality real-time dashboards with Streamlit and live data.

≈ 9 hours · Intermediate
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Next: forecasting

Time Series Forecasting with Python: Models to Production

Time series forecasting from the ground up, through one real-world project.

≈ 1 week · Intermediate
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View specialization

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 assignments · free PDF

08 FAQ

Common questions

Everything learners ask before enrolling, answered plainly.

About the course

An in-depth exploration of Python programming, covering foundational concepts, OOP principles, data structures and file handling techniques.

Anyone from beginners with a basic knowledge of programming to intermediate developers looking to deepen their understanding of Python.

A basic understanding of programming concepts is beneficial, but not mandatory - the course starts from foundational topics.

Python's core concepts and syntax, loops and strings, data structures and functions, object-oriented programming, file handling and exception handling, among other topics.

About 29 hours across 4 modules - Coursera lists it at 3 weeks at 10 hours a week. The actual time depends on your pace and how much you practise.

Yes. The course is self-paced and designed to fit individual learning speeds, so you can take the time to grasp each concept thoroughly.

Career & certificate

Access to all course materials, including graded assignments. When you complete the course, your electronic certificate is added to your Coursera Accomplishments page, where you can print it or add it to your LinkedIn profile.

Roles like Python Developer, Software Developer, Data Analyst, Automation Engineer and Backend Developer - and Python is the starting point for data science and machine learning roles too.

To access course materials and assignments and earn a certificate, you purchase the Certificate experience when you enroll. Eligible learners may be able to start with a free trial, and some may see a Full Course, No Certificate option.

Yes. In select learning programs you can apply for financial aid or a scholarship if you can't afford the enrollment fee. If it's available, you'll find a link to apply on the Coursera course page.

Want someone reviewing your code with you?

Board Infinity 1:1 coaching pairs you with a practitioner while you take the course.

See 1:1 coaching

Your first Python class is four modules away.

76 lessons. 19 assignments. Object-oriented Python you wrote yourself - and a certificate to show for it.

Enroll on Coursera

Dive Deep into Python · by Board Infinity · offered on Coursera

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