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:
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!
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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!
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)
Batch 01
08:00 am – 10:00 am
(Sat, Sun)
Batch 02
10:00 am – 12:00 pm
(Sat, Sun)
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.
*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.
*Course Schedule is subject to change. Students will be informed about the final schedule in the course induction class.
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.
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.
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.
Start Your Journey to becoming a Professional Python Developer
LSET could provide the perfect headstart to start your career in Python Programming.
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