Python Programming

Course ID

PPD

Department

Software Engineering

Campus

1 Cornhill

Level

Certificate

Method

Lecture, Project

Duration

3 Months

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LSET PRO PLAN

Are you eager to enter the workforce fully prepared? Look no further than our LSET PRO PLAN! This is an add-on program that you can select during your course enrolment, it offers a personalised learning experience that helps you succeed in your course, build your technical portfolio, and advance your professional journey.
Curious about how to embark on this journey? Simply “click” here to learn more and kickstart your professional development with us!

Learning Python will open doors for many career paths. After completing this course, you may want to explore our specialised courses to secure a high paying job. Following courses will make you eligible to join our job guarantee program. Job guarantee is an optional add-on paid program which will help you to find a suitable job. Please visit our Job Guarantee page to know more about it.

Eligible Specialised programs to enroll after completing this course:

EHEthical Hacking

PFDFull Stack Python with Django

MLPMachine Learning with Python

DSPData Science With Python

Do you want to start your career in Data Science, AI, Machine Learning, or Web Development? Python is considered the most popular and suitable programming language for all of these fields. LSET’s Python Programming Course teaches Python with practical hands-on exercises and real-world projects. Start learning today to become a capable Python professional!

Apply now to become a professional Python developer

Are you looking for corporate training?
We tailor our courses to meet the specific needs of your team. If you would like to discuss your training requirements, please email [email protected] today.

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Prerequisites have been met

Options

Topic

Add-On

Duration

Options

Option 1

Topic

Python

Add-On

Duration

3 Months

Options

Option 2

Topic

Python

Add-On

Project (Online)

Duration

5 Months

Options

Option 3

Topic

Python

Add-On

Project (Online) &

Industrial Training and Paid Internship Program (Remote)

Duration

12 Months

Tuition Fees

Options

Course Pack

Home (UK) & International
Online

Home (UK)
Classroom

International
Classroom

Options

Option 1

Course Pack

Python – (3 Months)

Home & International Online

Pay Upfront (with 20% Disc) : £1,860

Pay Per Module:
Number of Module: 2
Per Module Fee: £1,116

Home Classroom

Pay Upfront (with 20% Disc) : £3,660

Pay Per Module:
Number of Module: 2
Per Module Fee: £2,196

International Classroom

£6,060

Options

Option 2

Course Pack

Python + Project (Online) – (5 Months)

Home & International Online

Pay Upfront (with 20% Disc) : £3,060

Pay Per Module:
Number of Module: 3
Per Module Fee: £1,224

Home Classroom

Pay Upfront (with 20% Disc) : £6,060

Pay Per Module:
Number of Module: 3
Per Module Fee: £2,424

International Classroom

£8,460

Options

Option 3

Course Pack

Python+ Project (Online) + Industrial Training and Paid Internship Program (Remote) – (12 Months)

Home & International Online

Pay Upfront (with 20% Disc) : £6,060

Pay Per Module:
Number of Module: 6
Per Module Fee: £1,212

Home Classroom

Pay Upfront (with 20% Disc) : £13,260

Pay Per Module:
Number of Module:6
Per Module Fee: £2,652

International Classroom

£15,660

Options

Option 4

Course Pack

Python + Pro Plan

Home & International Online

Pay Upfront (with 20% Disc) : £2,340

Pay Per Module:
Number of Module: 2
Per Module Fee: £1,404

Home Classroom

Pay Upfront (with 20% Disc) : £4,140

Pay Per Module:
Number of Module: 2
Per Module Fee: £2,484

International Classroom

£6,540

Options

Option 5

Course Pack

Python + Project (Online) + Pro Plan

Home & International Online

Pay Upfront (with 20% Disc) : £3,540

Pay Per Module:
Number of Module: 3
Per Module Fee: £1,416

Home Classroom

Pay Upfront (with 20% Disc) : £6,540

Pay Per Module:
Number of Module: 3
Per Module Fee: £2,616

International Classroom

£8,940

Options

Option 6

Course Pack

Python + Project (Online) + Industrial Training and Paid Internship Program (Remote) + Pro Plan

Home & International Online

Pay Upfront (with 20% Disc) : £6,540

Pay Per Module:
Number of Module: 6
Per Module Fee: £1,308

Home Classroom

Pay Upfront (with 20% Disc) : £13,740

Pay Per Module:
Number of Module: 6
Per Module Fee: £2,740

International Classroom

£16,140

Note: Our Industrial Training and Internship program includes a guaranteed 6 months paid internship (from 10 hours to 40 hours per week) with a technology company. Due to visa restrictions, some international students may not be able to participate in this program.

In recent years, Python became very popular and known to be the most widely used programming languages. It is also one of the oldest programming languages which has been around for more than 28 years. Python is easy to learn and used in many different areas including but not limited to AI, Machine Learning, Data Science, Web Development, etc. Python is an interpreted high-level general-purpose programming language. It supports multiple programming paradigms, including structured (particularly, procedural), object-oriented and functional programming. It ensures better and more concise codes with faster readability, something that no other programming language can offer.

This course aims to introduce you to Python. It starts with introduction of algorithm, concept of time and space complexity, Big O notation, etc. You will learn and develop pseudocodes and flowcharts to find solutions to problems. You will then move on to learn to write your first Python program. After writing your first program, you will get introduced to the basic python syntax, variables, data types, and Strings. You will learn this by writing relevant programs and going through code snippets. After this, you will get introduced to collection types like list, tuple, set, and dictionary. You will understand their real-world use cases by going through various examples and a hand-on assignment. You will then learn about conditional statement and understand file handling.

This is the most straight-forward course for the Python programming language. Whether you have not programmed ever, already have information about basic syntax, or willing to learn about Python, this course is for you!

Complementary Workshops

Course Information

Course Intakes

September

End: December

January

End: April

May

End: August

Entry Criteria

No prior programming knowledge
Ability to complete assignments on time
Ability to work in Group
If a potential student’s first language is not English, they must also reach the English Language requirements of either any one of the following - IELTS 5.5 or NCC Test or GCE “O” Level English C6.
Have access to personal laptop

Course Highlights

Hands-on Sessions
Project-based Learning
Live or Offline Capstone Project
Real world development experience
Industry Mentors
Interactive Teaching Methodologies

Evaluation Criteria

18 Coding exercises
5 Assignments
5 Quizzes
Capstone Project
Group activities
Presentations

Learning Objectives

Get hands-on experience to write programs in Python
Understand the fundamental programming constructs in Python
Learn to use conditional statements and loops in programs
Learn the use of collection data types like list, tuple, set, and dictionary
Learn to do String manipulation by using built-in functions
Learn to write functions and pass arguments
Learn to write Object-Oriented Programs
Learn to use exception handling in programs
Learn to use file handling feature in Python

Weekday Batches

Batch 01
09:00 am – 11:00 am
(Tue, Thu)

Batch 02
12:00 pm – 02:00 pm
(Tue, Thu)

Batch 03
03:00 pm – 05:00 pm
(Tue, Thu)

Batch 04
05:30 pm – 07:30 pm
(Tue, Thu)

Weekend Batches

Batch 01
08:00 am – 10:00 am
(Sat, Sun)

Batch 02
10:00 am – 12:00 pm
(Sat, Sun)

Hands-on Workshops

Interview Preparation

CV Preparation

Personality Development

Join the LSET Python Certificate course to prepare yourself to learn Data Science, AI, Machine Learning, or Web Development. LSET follows project-based, hand-on approach to develop real-world applications using latest industry standards.

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Course Content

Browse the LSET interactive and practical curriculum

Introduction

>> Course Introduction	>> How to make the best of this course	>> GIT Introduction and Setup	>> Course Induction
>> What is Python	>> History of Python	>> Benefits of Learning Python	>> Pseudocode
>> Design an Algorithm	>> Flowchart	>> Setting Up Python

Python Syntax

>> Indentation

>> Variables

>> Comments

Python Variables

>> Variable Names

>> Assign Multiple Values

>> Output Variables

>> Global Variables

Understanding of Data Types

>> Identifiers and Keywords	>> Integral Types	>> Floating-Point Types	>> Strings
>> Numbers	>> Casting

Learning about Strings

>> Strings	>> Slicing Strings	>> Modify Strings	>> String Concatenation
>> Format Strings	>> Escape Characters	>> String Methods

Introduction to Values

>> Booleans

>> Operators

Understanding of Lists

>> Lists	>> Access List Items	>> Change List Items	>> Add List Items
>> Remove List Items	>> Loop Lists	>> List Comprehension	>> Sort Lists
>> Copy Lists	>> Join Lists	>> List Methods

Introduction to Tuples

>> Tuples	>> Access Tuple Items	>> Update Tuples	>> Unpack Tuples
>> Loop Tuples	>> Join Tuples	>> Tuple Methods

Learning about Sets

>> Sets	>> Access Set Items	>> Add Set Items	>> Remove Set Items
>> Loop Sets	>> Join Sets	>> Set Methods

Understanding of Dictionaries

>> Dictionaries	>> Access Dictionary Items	>> Change Dictionary Items	>> Add Dictionary Items
>> Remove Dictionary Items	>> Loop Dictionaries	>> Copy Dictionaries	>> Nested Dictionaries
>> Dictionary Methods

Learning about conditional Statements

>> If … Else	>> While Loops	>> For Loops	>> Functions
>> Lambda	>> Arrays	>> Classes and Objects	>> Inheritance
>> Iterators	>> Scope	>> Modules	>> Datetime
>> Math	>> JSON	>> RegEx	>> PIP
>> Try Except	>> User Input	>> String Formatting

Introduction to File Handling

>> File Handling

>> Read Files

>> Write/Create Files

>> Delete File

Database Fundamentals

>> Introduction to Database	>> Introduction to SQL	>> Create Database and Table Commands	>> DDL and DML
>> Aggregation Functions	>> JOINS	>> Conditional Expressions and Procedures	>> Database Connection from Program

*Modules of our curriculum are subject to change. We update our curriculum based on the new releases of the libraries, frameworks, Software, etc. Students will be informed about the final curriculum in the course induction class.

Having Doubts?

Contact LSET Counsellor

We love to answer questions, empower students, and motivate professionals. Feel free to fill out the form and clear up your doubts related to our Python Course.

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Talk To Our Counsellor

Best Career Paths

Python Developer

It is the most common job after learning Python. You have to develop websites, optimise data algorithms, solve data analytics problems, implement security and data protection, etc.

Product Manager

Data plays a crucial role in project management. Python is a great language for handling huge sets of data with ease. Therefore, companies are looking for product managers who have knowledge of Python.

Data Analyst

There are powerful Python libraries that make it easy to handle large sets of data. It is often considered the best language for machine learning and AI. Data analysts with the knowledge of Python are high in demand.

Educator

There’s no shortage of new learners who want to learn Python. You can become a computer science instructor to teach the language. A teaching role could give you a decent salary package.

Financial Advisor

The best financial institutions want their professionals to learn Python to assist their financial planning with the effective use of data. Thus, finance students are also learning Python to excel in their career.

Machine learning engineer

A machine learning professional has to develop and train machines, programs, and other computers to make predictions based on Python. It is considered a great language for automation and algorithms.

Top Companies Hiring Python Developers

GOOGLE

UBER

BLOOMBERG

ATLASSIAN

ORACLE

ADOBE

CISCO SYSTEMS

INTEL CORPORATION

Faculties & Mentors

Mayur Ramgir

View Profile

Mentor Panel

Rolando Carrasco

View Profile

Why Learn Python?

Python is one of the easiest languages to learn if you want to start a career in computer programming.
Python has a huge library to fulfil various use cases.
Learning Python can open up a variety of career opportunities in different fields.
Python is a great programming language for Enterprise Application Integration.
Great command in Python can offer you high paying jobs.
Python has a huge community which can be helpful whenever you are stuck.

Who Should Apply for this Course?

Python developers who want to take their programming skills to the next level
Business analysts who want to analyse data by learning Python
Machine learning professionals who want to update their skillset
Participants who want to start their career in data science.

About the Course

Our interactive and practical classes cover everything, including the new OS services, date/time management, binary data, unit testing, network programming, database connectivity, and more. You will be able to use the most advanced techniques required for implementing sophisticated frameworks like SQLAlchemy or Django.

The participants will be able to take the best advantage of OS services.
The participants will be able to understand the advanced Python metaprogramming concepts.
LSET will help the students to explore real-world applications to better understand the fundamentals.
The participants will be learning through a project-based learning approach and working with advanced real-world projects and applications.
LSET provides live mentor support and structured training to its students to ensure maximum participation.
Python industry experts have developed this advanced Python Course from LSET’s School of Computing.
The Course classes are provided by industry experts who have years of experience with the Python programming language.

The Course Provides Shared Expertise by

LSET Trainers

Industry Experts

Top Employers

Skills You will Gain

Flowchart
Learning about Strings
Operators
Lists

Tuples
Loop
Sets
Dictionaries

File Handling
Write/Create Files
Datetime
Nested Dictionaries

Lambda
Arrays
Classes and Objects
Inheritance

Functions
Iterators
Scope
Modules

JSON
Try Except
String Formatting
PIP

Complete Learning Experience

This course provides a hands-on, guided learning experience to help you learn the fundamentals practically.

We constantly update the curriculum to include the latest releases and features.
We focus on teaching the industry's best practices and standards.
We let you explore the topics through guided hands-on sessions.
We provide industry professional mentor support to every student.
We give you an opportunity to work on real world examples.
Work with hands-on projects and assignments.
We help you build a technical portfolio that you can present to prospective employers.

Reasons to Choose LSET

Interactive live sessions by industry experts.
Practical classes with project-based learning with hands-on activities.
International learning platform to promote collaboration and teamwork.
Most up-to-date course curriculum based on current industry demand.
Gain access to various e-learning resources.
One-to-one attention to ensure maximum participation in the classes.
Lifetime career guidance to get the students employed in good companies.
Free lifetime membership to the LSET Alumni Club

What Will Be Your Responsibilities?

Work creatively in a problem-solving environment.
Ask questions and participate in class discussions.
Work on assignments and quizzes promptly.
Read additional resources on the course topics and ask questions in class.
Actively participate in team projects and presentations.
Work with the career development department to prepare for interviews
Respond promptly to the instructors, student service officers, career development officers, etc.
And most importantly, have fun while learning at LSET.

How Does Project-Based Learning Work?

LSET project-based learning model allows students to work on real-world applications and apply their knowledge and skills gained in the course to build high-performing industry-grade applications. As part of this course, students learn agile project management concepts, tools, and techniques to work on the assigned project collaboratively. Each student completes project work individually but is encouraged to enhance their solution by collaborating with their teammates.

Following are the steps involved in the LSET’s project-based learning;

Step 1: Project Idea Discussion

In this step, students get introduced to the problem and develop a strategy to build the solution.
Step 2: Build Product Backlog

This step requires students to enhance the existing starter product backlog available in the project. This helps students to think about real-life business requirements and formulate them in good user stories.
Step 3: Design Releases and Sprints

In this step, students define software releases and plan sprints for each release. Students must go through sprint planning individually and learn about story points and velocity.
Step 4: Unit and Integration Tests

In this step, students learn to write unit tests to ensure every application part works fine.
Step 5: Use CICD to Deploy

In this step, students learn to use CICD (Continuous Integration Continuous Delivery) pipeline to build their application as a docker image and deploy it to Kubernetes.

Capstone Project

LSET gives you an opportunity to work on the real world project which will greatly help you to build your technical portfolio

Project Topic: Online Banking

London has been a leading international financial centre since the 19th century. In recent years, London has seen many FinTech start-ups and significant innovations in the banking sector. This project aims to introduce students to the financial industry and technologies used to handle billions of daily transactions. As part of this project, students will learn the current technological advances and build up their knowledge to start a simple banking application. This application uses agile project management practices to build basic functionality. Students will be presented with user stories to create the initial project backlog. Students need to enhance this backlog by adding more relevant user stories and working on them.

LSET emphasises project-based learning as it allows the students to master the course content by going through near real-world work experience. LSET projects are carefully designed to teach the industry-required skills and mindset. It motivates the students on various essential aspects like learning to work in teams, improving communication with peers, taking the initiative to look for innovative solutions, enhancing problem-solving skills, understanding the end user requirements to build user-specific products, etc.

Capstone Projects build students’ confidence in handling projects and applying their newly learned skills to solve real-world problems. This allows the students to reflect upon their learning and find the opportunity to get the most out of the course. Learn more about Capstone Projects here.

Learning Outcome

Students will learn to work in an agile environment
Students will learn the agile project management terms used in the industry, like product backlog, user stories, story points, epics, etc.
Students will learn to use a Git repository and understand the concepts like commit, pull, push, branch, etc.
Students will learn to communicate in a team environment and effectively express their ideas.

Guidance and Help

A dedicated project coordinator who can mentor students on the process will be assigned to this project. Students can also avail of the instructor’s hours as and when needed. LSET may get an industry expert with subject-specific experience to help students understand the industry and its challenges.

Execution Process

This project will be carried out in steps. Each step teaches students a specific aspect of the subject and development paradigm. Following are the steps students will follow to complete this project.

Step 1: Project Introduction Self Study [6 days]

In the first step, students will learn about the financial industry and review the project introduction documentation to build up the subject knowledge. This is a self-learning stage; however, instructor hours are available if required.

Step 2: Project Build-up and Environment Setup [2 days]

In this step, students are required to follow the project guide to set up the development environment. The project document guides students to find and connect to the LSET Git repository and install the necessary libraries or tools.

Step 3: Product Backlog and Sprint Planning [2 days]

In this step, students will use the existing product backlog and enhance it per their project scope. Students can seek help from the project coordinator and the instructor. The project coordinator will help students do sprint planning and assign story points to the stories. This process is meant to give students real-world work environment experience. Students can consider this a mock exercise on agile project management practices.

Step 4: User Stories Execution and Development [12 days]

Students will work on the user stories identified in the Step 3 process in this step. Students will write code and algorithms to complete the development objectives. The project coordinator will be available to help students to guide them on the development and answer any questions they may have. Students can also discuss this with the instructor.

Step 5: Testing, Deployment and Completion [5 days]

In this step, students will test and deploy the application to the cloud environment. Students will experience the deployment process in the cloud and learn the best practices. After the successful deployment, students will present their project to the instructor and the external project reviewer. Feedback will be given to the students. Students will have one week to work on the feedback and submit the final copy of the project, which will be sent to the external examiner for evaluation.

Project Presentation

LSET emphasises preparing students for the work environment by allowing them to learn the required soft skills. After completing the project, students must present their work to the instructor and an invited project reviewer panel. Please note that the assigned external examiner will not be part of this panel and hence will not know about the students. This ensures an unbiased assessment by the external examiner. This exercise aims to allow students to experience an environment they may face in their actual job. Also, it gives them a chance to get feedback from industry experts who can guide students on various parts of the project. This will help students to learn and fix anything they find necessary in their project. This ensures quality output and allows students to learn about industry requirements.

The instructor and the project reviewer panel will assess the students on the following;

Project Repository on GitHub [10 points]: The instructor will ensure that the students have uploaded the project repository to the LSET’s GitHub account per the guidelines in the project requirement documentation. Full points will be awarded if the repository is appropriately set up per the instructions.

Presentation Skills [20 points]: Students must present their work in the given timeframe. Full points will be awarded if students cover everything needed to deliver their work in the given timeframe.

Communication Skills [20 points]: Students must present their work in a manner understandable by all the participants. More focus will be given to how students communicate, not the language. Full points will be awarded if students can share their work correctly.