ONE-MONTH PROGRAM

Python Programming Essentials

Master Python fundamentals through daily live classes and hands-on projects. Build a solid foundation for Machine Learning in just one month.

View Curriculum Enroll Now - ₹299 Only
COURSE OVERVIEW

Why Learn Python with Us?

Daily live classes designed to make you proficient in Python and essential data science libraries

Daily Live Classes

One hour of focused instruction every day for a month. No recorded sessions to prevent procrastination.

Mon-Fri, 1 Hour Sessions

Practical Approach

Build real-world projects that reinforce concepts. Learn by doing with guided hands-on exercises.

5+ Hands-on Projects

ML Foundation

Master NumPy, Pandas, and Matplotlib – the essential libraries for data analysis and machine learning.

Data Science Libraries

Live Classes Only

To ensure maximum engagement and prevent procrastination, we do not provide recorded sessions. This approach has proven to significantly improve learning outcomes and course completion rates.

CURRICULUM

Course Contents

A comprehensive five-week journey from Python basics to OOP and project development

1Week 1: Getting Started with Python

Begin your Python journey with the fundamental basics and syntax.

Day 1 (Fri, Apr 25): Introduction to Python, print statements, comments, syntax
Day 2 (Sat, Apr 26): Variables, data types (int, float, str, bool), type casting

2Week 2: Control Flow & Loops

Learn core programming concepts to control program flow and execution.

Day 3 (Mon, Apr 29): Input and output, string formatting
Day 4 (Tue, Apr 30): Operators (arithmetic, assignment, comparison, logical)
Day 5 (Wed, May 1): Conditional statements (if, elif, else, nested conditions)
Day 6 (Thu, May 2): Practice + Interview Qs
Day 7 (Fri, May 3): for loops – syntax, range(), iterating strings/lists
Day 8 (Sat, May 4): while loops – syntax, loop control (break, continue)

3Week 3: Data Structures & Functions

Master Python's built-in data structures and create reusable code with functions.

Day 9 (Mon, May 6): Lists – creation, indexing, slicing, methods (append, pop, etc.)
Day 10 (Tue, May 7): Tuples & Sets – properties, use cases, basic operations
Day 11 (Wed, May 8): Dictionaries – key-value pairs, CRUD operations
Day 12 (Thu, May 9): Practice + Interview Qs
Day 13 (Fri, May 10): Functions – def, calling functions, return values
Day 14 (Sat, May 11): Function parameters – positional, default, keyword, *args, **kwargs

4Week 4: Advanced Features & OOP Basics

Explore advanced Python features and introduction to Object-Oriented Programming.

Day 15 (Mon, May 13): Recursion & Lambda functions
Day 16 (Tue, May 14): File Handling – reading and writing text files
Day 17 (Wed, May 15): Exception Handling – try, except, finally
Day 18 (Thu, May 16): Practice + Mini Project (e.g., Notepad/Logger)
Day 19 (Fri, May 17): OOP Basics – classes & objects, __init__()
Day 20 (Sat, May 18): Inheritance – single & multilevel, super()

5Week 5: Advanced OOP & Final Project

Master advanced OOP concepts and apply your skills in a final project.

Day 21 (Mon, May 20): Encapsulation & Polymorphism – private variables, overriding
Day 22 (Tue, May 21): OOP Practice Day
Day 23 (Wed, May 22): Modules & Packages – importing, math, random, custom modules
Day 24 (Thu, May 23): Project Planning – divide tasks & groups
Day 25 (Fri, May 24): Project Development – Logic & Core Modules
Day 26 (Sat, May 25): Final Integration + Demos / Feedback

Final Project Ideas

Project Work & Interview Preparation

Students will work on practical Python projects to apply their skills in real-world scenarios. Additionally, we'll conduct mock interview sessions to prepare you for Python-related job opportunities.

Total Classes: 26 (April 25 to May 25 excluding Sundays)

PROGRAM BENEFITS

What You'll Gain

Our structured approach ensures you build job-relevant skills that can be immediately applied to real-world problems and serve as a foundation for more advanced topics.

Python Proficiency

Master Python syntax, data structures, and programming concepts

Data Analysis Skills

Learn to process, analyze, and visualize data effectively

Community Access

Join our community of learners for support and networking

Certification

Receive a completion certificate to showcase your skills

python_data_analysis.py
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# Create sample data
data = np.random.randn(100, 4)
df = pd.DataFrame(data, columns=['A', 'B', 'C', 'D'])
# Analyze data
print(df.describe())
# Data visualization
fig, ax = plt.subplots()
df.plot(ax=ax)
plt.title('Sample Data Analysis')
plt.savefig('analysis.png')
ENROLLMENT

Join Our Python Training Program

Affordable pricing with maximum value for beginners and aspiring data analysts

Python Essentials Program

One-month intensive live training

₹299/month

One-time payment

Program Includes:

  • 26 live classes (1 hour each)
  • Hands-on projects and exercises
  • Python setup assistance
  • Real-world application examples
  • Community access
  • Completion certificate
  • Job-relevant skills development
  • ML foundation preparation

Key Dates & Information:

  • Next Batch StartsApril 25, 2025
  • ScheduleMon-Sat, 7:00 PM - 8:00 PM IST
  • Experience LevelBeginner-friendly, no prior coding required
  • RequirementsLaptop/PC with internet connection

Important: Classes are conducted live only. We don't provide recorded sessions to ensure maximum engagement and prevent procrastination. This approach significantly improves learning outcomes.

Enroll Now - ₹299 OnlyContact for Queries
FREQUENTLY ASKED QUESTIONS

Common Questions

Find answers to frequently asked questions about our Python training program

Is this course suitable for complete beginners?

Yes, this course is designed to be beginner-friendly. We start from the basics and gradually build up to more advanced concepts. No prior programming experience is required.

Why don't you provide recorded sessions?

We've found that live-only sessions significantly improve engagement, completion rates, and learning outcomes. This approach prevents procrastination and ensures students keep pace with the curriculum.

What if I miss a class?

While we don't provide recordings, we do offer session notes and exercises. We also encourage forming study groups with fellow participants to help catch up on missed content.

Is the certificate recognized by employers?

Our certificates are well-regarded in the industry. More importantly, the skills you'll develop are directly applicable to job requirements in the data analysis and Python development fields.

Do I need a powerful computer for this course?

Any standard laptop or desktop computer with an internet connection will be sufficient. Python and the libraries we use don't require significant computational resources for learning purposes.

Can this course help me prepare for more advanced topics like Machine Learning?

Absolutely! This course covers NumPy, Pandas, and Matplotlib, which form the essential foundation for data science and machine learning. After completing this course, you'll be well-prepared to advance to ML-specific training.

Start Your Python Journey Today

Join our one-month intensive program and master the essential skills needed for Python development and data analysis

Enroll for ₹299 OnlyView Course Curriculum