Live Python Programming language Training

This course is designed for beginners and covers Python programming from the fundamentals to more advanced topics. The duration of the course can be adjusted based on the number of hours available for training.

(5.0)

8302 Ratings

7673 Learners

Comprehensive Curriculum

Our experienced trainers cover a wide range of topics in data science and analytics, including data cleaning and preprocessing, statistical analysis, machine learning, data visualization, and big data technologies.

Real-World Problem Solving

Focus on practical application. Students work on real-world projects and case studies to develop problem-solving skills.

Flexibility

Online format allows students to balance their studies with other commitments, such as work or college.

Hands-On Experience

Students typically have access to tools and platforms commonly used in the industry, allowing them to gain hands-on experience.

Networking

Facilitate networking opportunities with industry professionals and fellow students, which can be valuable for career growth.

Support

Students often have access to instructors and support resources to help them succeed in the program

Industry-Responsive Curriculum

No prior programming experience is required.

This comprehensive Python programming course covers essential concepts, data science, and web development, allowing participants to build a strong foundation and explore various Python applications. The sessions include hands-on exercises and projects to reinforce learning.

Course Summary

DURATION

1 Months

STRUCTURE

27 Lessons + Projects

ACCESS FOR

12 months

PRICING

$199 incl. GST

Rs 5,000 incl. GST

What you'll gain knowledge in

Introduction to Python Programming

Lesson 1: Introduction to Python

• What is Python?

• Python history and versions

• Setting up Python environment (IDEs, Jupyter Notebook)

Lesson 2: Python Basics

• Python syntax and structure

• Variables, data types, and type conversion

• Basic input and output (I/O) operations

Lesson 3: Control Flow

• Conditional statements (if, elif, else)

• Loops (for, while)

• Break and continue statements

Lesson 4: Functions

• Defining and calling functions

• Parameters and return values

• Scope and lifetime of variables

Lesson 5: Data Structures

• Lists, tuples, and dictionaries

• Indexing and slicing

• List comprehensions

Advanced Python Topics

Lesson 1: Advanced Data Structures

• Sets and frozensets

• Stacks and queues

• Using collections module (Counter, defaultdict)

Lesson 2: Functional Programming

• Lambda functions

• Map, filter, and reduce

• Decorators and closures

Lesson 3: Database Connectivity

• Connecting to databases (SQLite, MySQL)

• Executing SQL queries

• Database CRUD operations

Lesson 4: Web Scraping with Python

• Introduction to web scraping

• BeautifulSoup and requests library

• Scraping data from websites

Intermediate Python Programmin

Lesson 1: File Handling

• Reading and writing text files

• Working with CSV and JSON files

• Exception handling (try, except, finally)

Lesson 2: Object-Oriented Programming (OOP)

• Classes and objects

• Inheritance and polymorphism

• Encapsulation and abstraction

Lesson 3: Modules and Libraries

• Importing modules and libraries

• Creating and using custom modules

• Exploring Python's standard library

Python for Data Science

Lesson 1: Introduction to Data Science

• What is data science?

• Role of Python in data science

• Popular data science libraries (NumPy, Pandas)

Lesson 2: Data Analysis with Pandas

• DataFrames and Series

• Data manipulation and cleaning

• Exploratory data analysis (EDA)

Lesson 3: Data Visualization

• Introduction to Matplotlib and Seaborn

• Creating plots and charts

• Customizing visualizations

Python for Web Development

Lesson 1: Introduction to Web Development

• Basics of web development

• Front-end vs. back-end development

• Overview of web frameworks (Django, Flask)

Lesson 2: Building Web Applications with Flask

• Setting up Flask

• Creating routes and views

• Building a simple web application

Lesson 3: Final Project

• Participants work on a real-world project using Python

• Project presentations and feedback

FAQ's

What is the duration of each course in this training program?

This is a 4-week program, and the duration of each course may vary. Specific course durations can be found by clicking here.

Can I take multiple courses simultaneously, or do I need to complete one before starting another?

To ensure a manageable learning experience, it's important to consider the workload and prerequisites for each course. Based on this, we offer a sequential learning program.

Are there any prerequisites for these courses?

Prerequisites vary by course. Some may require prior knowledge or experience in the subject matter, while others are suitable for beginners. Be sure to review the course descriptions for detailed prerequisites and recommended skill levels.

Is this training program suitable for beginners with no prior experience in these subjects?

Yes, many of the courses are designed to accommodate beginners. Look for courses labeled as "introductory" or "foundations" if you're new to a particular subject.

What format are the courses offered in?

Courses are offered in an online format. Be sure to check the specific course format when registering.

Can I access course materials and resources after completing the training program?

Yes, the learning platform is accessible via the internet, and video content is not available for download. However, you can download files such as video transcripts, assignment templates, readings, etc., for maximum flexibility. You can access program content from a desktop, laptop, tablet, or mobile device. Video lectures must be streamed via the internet, and any livestream webinars and office hours will require an internet connection. However, these sessions are always recorded for later viewing.

Are there any assessments offered upon completion of the courses?

We conduct regular assessments, quizzes, or projects to evaluate your understanding of the course material. Check the course details for information on assessments.

What kind of support and assistance will I receive during the training program?

Support may include access to instructors, discussion forums, peer support, and additional learning resources. The level of support can vary, so review the specific course details to understand what's provided.

Is financial assistance or scholarships available for these courses?

We may offer financial assistance or scholarships based on eligibility. Assistance requests can be sent to contact@upathi.com .

How do I enrol in this training program, and what is the registration process?

To enrol in the training program, simply submit this form to get started with the registration process.

What technology or software will I need for these courses?

Depending on the course, you may need access to specific software or tools. The course descriptions should specify any technical requirements, and our trainers will assist in providing the required software during the course.

Are there any group discounts available for organizations or teams looking to enroll in these courses?

We do offer group discounts for organizations or teams. Contact us at contact@upathi.com to inquire about group rates and availability.

Can I receive a refund if I need to cancel my enrolment or if I'm not satisfied with the course?

You may request a full refund within five days of your payment or 10 days after the published start date of the program, whichever comes later. If your enrolment had previously been deferred, you will not be entitled to a refund. Partial (or pro-rated) refunds are not offered. All withdrawal and refund requests should be sent to contact@upathi.com .

What is the policy on deferrals?

After the published start date of the program, you have until the midpoint of the program to request a deferral to a future cohort of the same program. A deferral request must be submitted along with a specified reason and explanation. Cohort changes may be made only once per enrolment and are subject to the availability of other cohorts scheduled at our discretion. This policy will not be applicable for deferrals within the refund period, and the limit of one deferral per enrolment remains. All deferral requests should be sent to contact@upathi.com .