Python Programming (Beginner → Intermediate)

Date: 16th to 20th Feb 2026

A practical, instructor-led Python course designed for beginners. Learn Python fundamentals, build confidence with hands-on coding, and progress into intermediate skills like collections, functions, and file/CSV handling.

5 Days 3 Hours / Day Instructor-led (Theory + Hands-on) Online/ Virtual

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Course Snapshot

$799

Certificate Included

• Instructor-led sessions

• Hands-on labs

• Daily recap & knowledge check

✓ 70% Practice

✓ Live Debugging

✓ Real Life Problems

Course Overview

Beginner-Friendly

No prior programming needed. We start with fundamentals and build step-by-step confidence.

Real-World Problem Solving

Learn by writing code, fixing mistakes, and solving practical exercises in every session.

File & CSV Skills

Build data confidence with text files and CSV processing using Python’s built-in tools.

Course Objective

What This Course Delivers

A strong foundation in Python programming, progressing from basic concepts to intermediate-level skills like conditional logic, iteration, collections, string processing, functions, and file/CSV handling.

Teaching Approach

  • 70% hands-on coding and practice
  • Live demos + debugging sessions
  • Concept explanation → real-time coding examples
  • Daily recap sessions + knowledge checks
  • Learners explain logic and reasoning (confidence building)

Overall Learning Outcomes

Core Concepts

  • Understand Python syntax and programming basics
  • Write, run, and debug programs
  • Use variables, data types, and operators

Control & Flow

  • Use if / elif / else effectively
  • Implement loops using while and for
  • Apply break and continue confidently

Intermediate Skills

  • Work with collections and strings
  • Create reusable user-defined functions
  • Handle files + process CSV data

5-Day Curriculum (Instructor-Led)

Each day includes teaching + hands-on labs. We keep things practical and step-by-step.

Day 1 — Programming Fundamentals & Python Basics

Objective: Build the base required to write simple Python programs.

  • Intro to programming + Python use cases
  • Python setup: IDLE, VS Code, Jupyter overview
  • First program: print(), comments, indentation rules
  • Variables + data types (int, float, str, bool) + type()
  • Operators (assignment, arithmetic, relational, logical)
  • input() + type conversion (int, float, str)
  • Conditionals (if, if-else, if-elif-else)

Outcome: Write basic programs with input/output and conditional logic.

Day 2 — Control Structures & Loops

Objective: Control program flow and repetition.

  • Complex conditional expressions
  • while loop (repetition, infinite loops)
  • Loop control: break, continue
  • for loop & range() (start, stop, step)
  • Comparing for vs while loops

Outcome: Build logic using loops for repetitive tasks confidently.

Day 3 — Collections & String Processing

Objective: Work with structured data and strings.

  • Lists: create, index/slice, append/remove/pop/len
  • Tuples (immutable) & Sets (unique values)
  • Dictionaries: key–value pairs (create, access, update)
  • Strings: creation, indexing, slicing
  • Methods: len(), lower(), upper(), strip()
  • find(), count(), replace()
  • split(), join()
  • String formatting: format() & f-strings

Outcome: Work with collections and manipulate strings effectively.

Day 4 — User-Defined Functions & Scope

Objective: Write reusable code and understand scope.

  • Why functions matter (modular coding)
  • Defining functions, parameters, return values
  • Calling and reusing functions
  • Common built-ins: len(), max(), min(), sum()
  • Scope: local vs global variables

Outcome: Create reusable functions and understand scope behavior.

Day 5 — File Handling & CSV Processing

Objective: Read/write files and process CSV data.

  • File modes: r, w, a (text vs CSV)
  • Reading: open(), read(), readline(), readlines()
  • Writing/appending: write(), overwrite vs append
  • with statement (best practice)
  • CSV structure and use cases
  • csv.reader() and iterating rows
  • csv.writer() and writing rows

Outcome: Confidently handle text and CSV file operations.

Frequently Asked Questions

Who should take this course?
Beginners with no or little programming experience who want to learn Python the right way with hands-on practice.

Is this course hands-on?
Yes. The training is designed with 70% coding practice, live demos, and debugging sessions.

Do I need to install anything?
We’ll guide you through setup options like Python IDLE and VS Code. Jupyter Notebook is introduced as an overview.

Will I get a certificate?
Yes. A BTMG USA course completion certificate is provided after successful completion.

Can my company enroll a team?
Yes. Use the registration form below and select Corporate/Team.

Ready to Learn Python with Confidence?

Register now to reserve your seat for the next Python batch.

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