TALLY PRIME – COMPLETE BEGINNER TO ADVANCED SYLLABUS

MODULE 1: Introduction to Accounting & Tally Prime

* Introduction to Accounting Concepts

* Types of Accounts (Personal, Real, Nominal)

* Golden Rules of Accounting

* Accounting Principles & Conventions

* Manual Accounting vs Computerized Accounting

* Introduction to Tally Prime Interface

* Installation & Activation of Tally Prime

* Navigating Tally Prime (Gateway, Menus, Buttons)

* Company Features Overview

MODULE 2: Company Creation & Configuration

* Creating a New Company

* Selecting Financial Year & Books Beginning

* Base Currency Settings

* Enabling Company Features (F11)

* Configuring Security Controls

* Setting Up User Roles

* Altering & Deleting Company

* Backup & Restore of Company Data

MODULE 3: Chart of Accounts (Masters)

* Groups in Tally (Primary & Sub-groups)

* Predefined Groups in Tally

* Creating & Altering Groups

* Ledgers – Concept & Importance

* Creating Ledger Accounts

* Opening Balances

* Cost Centers & Cost Categories

* Multiple Cost Centers Allocation

MODULE 4: Voucher Entry – Accounting Transactions

* Types of Vouchers in Tally

* Contra Voucher

* Payment Voucher

* Receipt Voucher

* Journal Voucher

* Sales Voucher

* Purchase Voucher

* Credit Note & Debit Note

* Reversing Journal

* Optional & Memorandum Vouchers

MODULE 5: Banking & Cash Management

* Cash Book & Bank Book

* Bank Reconciliation Statement (BRS)

* Cheque Printing Configuration

* Post-Dated Cheques

* Bank Ledger Management

* Petty Cash Management

* Payment Advice & Deposit Slip

MODULE 6: Inventory Management – Basics

* Inventory Features Configuration

* Stock Groups

* Stock Categories

* Stock Items Creation

* Units of Measurement

* Opening Stock Entry

* Godowns / Locations

* Inventory Voucher Types

MODULE 7: Inventory Management – Advanced

* Purchase & Sales with Inventory

* Bill of Materials (BOM)

* Manufacturing Journal

* Stock Journal

* Reorder Levels

* Batch-wise & Expiry Date Tracking

* Job Order Processing

* Physical Stock Verification

MODULE 8: GST – Fundamentals

* Introduction to GST (CGST, SGST, IGST)

* GST Registration Details in Tally

* Enabling GST Features

* GST Ledgers Creation

* HSN / SAC Codes

* GST Classification of Stock Items

* Input & Output GST

MODULE 9: GST Transactions & Returns

* GST Purchase & Sales Entries

* Interstate & Intrastate Transactions

* Reverse Charge Mechanism (RCM)

* GST on Services

* Credit & Debit Notes under GST

* GST Computation & Adjustment

* GST Returns Overview (GSTR-1, GSTR-3B)

* GST Reconciliation

MODULE 10: Payroll Management

* Enabling Payroll in Tally

* Employee Groups & Categories

* Employee Masters Creation

* Pay Heads Creation

* Salary Structure Setup

* Attendance & Production Types

* Payroll Voucher Entry

* Payslip Generation

* PF, ESI & Professional Tax

MODULE 11: Statutory & Compliance Features

* TDS Configuration

* TDS Ledger Creation

* TDS Voucher Entries

* TDS Returns Overview

* TCS Basics

* Compliance Reports

* Statutory Audit Preparation

MODULE 12: Final Accounts & Reports

* Trial Balance

* Profit & Loss Account

* Balance Sheet

* Cash Flow Statement

* Fund Flow Statement

* Ratio Analysis

* MIS Reports

* Comparison Reports

MODULE 13: Data Security & Utilities

* User Security Levels

* Password Protection

* Tally Vault

* Data Backup & Restore

* Data Split

* Data Migration

* Import & Export of Data

MODULE 14: Advanced Features

* Costing & Budgeting

* Multiple Budgets

* Scenario Management

* Interest Calculation

* Price Levels & Price Lists

* Point of Sale (POS)

* Job Costing

MODULE 15: Practical Applications & Project Work

* Complete Business Case Study

* Trading Company Accounting

* Manufacturing Company Accounting

* Service Industry Accounting

* GST Filing Simulation

* Error Rectification & Troubleshooting

* Real-Time Accounting Practice

MODULE 16: Career & Certification Guidance

* Tally Certification Overview

* Practical Interview Questions

* Common Accounting Errors

* Industry Use Cases

* Career Opportunities in Accounting

Outcome:

After completing this syllabus, learners will be able to independently handle accounting, inventory, GST, payroll, and statutory compliance using Tally Prime in real-world business environments.

Python Programming – Week-wise Syllabus (7 Weeks)

Week 1: Introduction to Python

What is Python & Features

Applications of Python

Installing Python & IDE (IDLE / VS Code)

Python Syntax & Indentation

Variables and Data Types

Basic Input & Output

Simple Programs

Week 2: Operators & Control Statements

Arithmetic, Relational, Logical Operators

Assignment & Bitwise Operators

Conditional Statements (if, if-else, elif)

Nested Conditions

Practice Programs

Week 3: Looping & Iterations

for Loop

while Loop

break, continue, pass

Looping with range()

Pattern Programs

Logical Programs using Loops

Week 4: Functions & Modules

Built-in Functions

User-defined Functions

Function Arguments & Return Values

Recursive Functions

Python Modules

Importing Modules

Mini Programs

Week 5: Data Structures

Strings & String Functions

Lists & List Operations

Tuples

Sets

Dictionaries

Practical Examples for Each

Week 6: File Handling & Exception Handling

File Modes (read, write, append)

Reading & Writing Files

Exception Handling (try, except, finally)

Custom Exceptions

Real-time File Programs

Week 7: OOP Concepts & Mini Project

Object-Oriented Programming Concepts

Class & Object

Constructors

Inheritance

Polymorphism

Encapsulation

Mini Project / Case Study

DATA SCIENCE SYLLABUS – 6 MONTHS

Month 1: Programming Foundations (Python for Data Science)

* Introduction to Data Science & Career Scope

* Python Basics

* Variables, Data Types, Operators

* Conditional Statements

* Loops

* Functions & Modules

* Data Structures

* Lists, Tuples, Sets, Dictionaries

* File Handling (CSV, Text Files)

* Exception Handling

* Introduction to Jupyter Notebook & Anaconda

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Month 2: Mathematics & Statistics for Data Science

* Basics of Mathematics

* Linear Equations

* Matrices & Vectors

* Descriptive Statistics

* Mean, Median, Mode

* Variance & Standard Deviation

* Probability Concepts

* Data Distribution

* Normal Distribution

* Skewness & Kurtosis

* Inferential Statistics

* Sampling

* Hypothesis Testing

* Correlation & Covariance

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Month 3: Data Analysis & Visualization

* NumPy

* Arrays, Indexing, Slicing

* Mathematical Operations

* Pandas

* Series & DataFrames

* Data Import (CSV, Excel)

* Data Cleaning & Preprocessing

* Handling Missing Data

* Data Aggregation & Grouping

* Data Visualization

* Matplotlib

* Seaborn

* Exploratory Data Analysis (EDA)

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Month 4: Machine Learning – Fundamentals

* Introduction to Machine Learning

* Types of Machine Learning

* Supervised

* Unsupervised

* Supervised Learning Algorithms

* Linear Regression

* Multiple Regression

* Logistic Regression

* K-Nearest Neighbors (KNN)

* Decision Trees

* Model Evaluation

* Train-Test Split

* Accuracy, Precision, Recall, F1-Score

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Month 5: Advanced Machine Learning

* Ensemble Techniques

* Random Forest

* Gradient Boosting

* Support Vector Machines (SVM)

* Unsupervised Learning

* K-Means Clustering

* Hierarchical Clustering

* Dimensionality Reduction

* PCA

* Feature Engineering

* Hyperparameter Tuning

* Cross Validation

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Month 6: Real-World Applications & Projects

* Introduction to Deep Learning

* Neural Networks Basics

* Natural Language Processing (NLP)

* Text Cleaning

* Tokenization

* Sentiment Analysis

* Time Series Analysis (Basics)

* Data Science Project Lifecycle

* End-to-End Projects

* Sales Prediction

* Customer Segmentation

* Fraud Detection

* Recommendation System

* Deployment Basics

* Flask / Streamlit

* Resume Preparation & Interview Questions

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Tools & Technologies Covered

* Python

* NumPy, Pandas

* Matplotlib, Seaborn

* Scikit-learn

* Jupyter Notebook

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Outcome After 6 Months

✔ Strong Python & Statistics foundation

✔ Hands-on Machine Learning experience

✔ Real-time projects

✔ Job-ready Data Science skills

The 30-Hour Web Hosting Training Program by D Bharathi Pandian is a structured, practical-oriented online course designed to help students understand how websites work, how hosting systems operate, and how to deploy websites professionally. This program is ideal for beginners who want to learn real-world website hosting skills along with basic web development and version control knowledge.

This course goes beyond theoretical learning by focusing heavily on hands-on training. Students will explore the complete lifecycle of a website — from understanding the internet and domain systems to building a basic website, managing versions using Git, and deploying live projects using modern hosting platforms.

With a flexible schedule and fully practical sessions, learners can build strong technical confidence while working on real deployment scenarios.

Total Duration: 30 hours

📅 Flexible Schedule
💻 100% Practical Session
📍 Online Mode

Basics of Websites & Hosting

✅ Domain Name & DNS Concept
✅ Types of Hosting (Shared, VPS, Cloud)
✅ Git & GitHub Basics
✅ Host Website using GitHub Pages

Tools Covered

• HTML Basics

• Git & GitHub

• GitHub Pages

Who Can Join?

• BSc IT / BCA Students

• Engineering Students

• 12th Computer Science

• Beginners in Web Development

PHASE 1 – Web & Hosting Fundamentals (Day 1–5)

🟢 Day 1

• Introduction to Internet

• How websites work

• Client–Server Model

🟢 Day 2

• What is Website?

• Static vs Dynamic Website

• Frontend vs Backend

🟢 Day 3

• What is Domain Name?

• Domain structure (.com, .in, etc.)

• Domain registration process

🟢 Day 4

• What is Web Hosting?

• Types of Hosting:

  • Shared

  • VPS

  • Dedicated

  • Cloud

🟢 Day 5

• What is DNS?

• How Domain connects to Hosting

• Nameservers concept

💻 PHASE 2 – HTML & Basic Website Creation (Day 6–10)

🟢 Day 6

• HTML Structure

• Creating first webpage

🟢 Day 7

• Headings, Paragraphs, Links

• Images & Lists

🟢 Day 8

• Forms & Input Fields

• Basic Styling Introduction

🟢 Day 9

• Multi-page Website Creation

• Navigation Menu

🟢 Day 10

• Mini Project: 3-page Website Creation

🔧 PHASE 3 – Git & GitHub Basics (Day 11–15)

🟢 Day 11

• Introduction to Version Control

• What is Git?

• What is GitHub?

🟢 Day 12

• Install Git

• Basic Git Commands:

  • git init

  • git add

  • git commit

  • git status

🟢 Day 13

• Git Branching Concept

• Creating & Switching Branch

🟢 Day 14

• Connecting Local Repo to GitHub

• git push

• git pull

• git clone

🟢 Day 15

• Practical Lab:

  • Upload Website to GitHub

  • Manage versions

🌍 PHASE 4 – Hosting Using GitHub & Free Platforms (Day 16–20)

🟢 Day 16

• What is GitHub Pages?

• Static Hosting Concept

🟢 Day 17

• Deploy Website using GitHub Pages

• Live URL Access

🟢 Day 18

• Hosting using Netlify

• Drag & Drop Deployment

🟢 Day 19

• Local Hosting using XAMPP

• Understanding Apache Server

🟢 Day 20

• Comparison:

  • GitHub Pages vs Netlify vs Local Server

⚙ PHASE 5 – Professional Hosting & cPanel (Day 21–25)

🟢 Day 21

• Introduction to cPanel

• File Manager Overview

🟢 Day 22

• Upload Website via cPanel

• Domain Mapping

🟢 Day 23

• Introduction to FTP

• Upload using FileZilla

🟢 Day 24

• Introduction to Databases (Basic Concept)

• What is MySQL?

🟢 Day 25

• Website Security Basics

• SSL Certificate Concept

☁ PHASE 6 – Cloud & Career Concepts (Day 26–30)

🟢 Day 26

• Introduction to Cloud Hosting

• AWS / Azure (Overview)

🟢 Day 27

• Introduction to Firebase Hosting

• Deploy Basic Website

🟢 Day 28

• GitHub Profile Optimization

• Writing Professional README

🟢 Day 29

• Final Project Development

  • Create 4–5 page website

  • Deploy live

🟢 Day 30

• Final Project Presentation

• Evaluation

• Career Guidance in:

  • Web Development

  • DevOps

  • Cloud Computing

  Benefits / Outcomes

  Students completing this training can expect:

  • Strong foundational understanding of website hosting and deployment

  • Practical experience with real hosting platforms

  • Ability to build and publish live websites independently

  • Knowledge of version control and project management tools

  • Improved technical confidence in web technologies

  • Readiness for entry-level roles in web development and hosting support

  • Clear understanding of career paths in web, cloud, and DevOps domains