IELTS EXAM

📖 Course Description:

The International English Language Testing System (IELTS) is the world’s most recognized English proficiency exam for academic, professional, and migration purposes. This comprehensive course by Education MESD is designed to help students, professionals, and immigrants achieve a high band score in both the Academic and General Training modules.

The course focuses on enhancing all four language skills — Listening, Reading, Writing, and Speaking, using real exam-style materials, mock tests, and personalized feedback from expert trainers.

Whether you aim to study abroad, apply for a visa, or boost your global employability, this course provides the strategies and practice you need to succeed in the IELTS exam with confidence.

🎯 Key Features:

• Covers both IELTS Academic and General Training formats

• Intensive practice in Listening, Reading, Writing & Speaking

• Band score improvement techniques

• Access to official practice materials & mock tests

• Speaking interview simulations with feedback

• Personalized writing corrections (Task 1 & Task 2)

• Group and 1-on-1 mentoring options available

• Includes guidance for booking the IELTS exam (IDP/British Council)

📚 What You Will Learn:

Module 1: Introduction to Python

• What is Python?

• Installing and setting up Python

• Writing your first program (Hello World)

• Understanding variables and data types

Module 2: Python Basics

• Operators and expressions

• Input and output functions

• Conditional statements (if, elif, else)

• Loops (for and while)

Module 3: Working with Data

• Lists, Tuples, and Dictionaries

• String operations

• Basic functions and scope

• Simple math and logic-based programs

Module 4: School-Oriented Projects

• Create school-useful programs: Grade calculator, Quiz App, Report generator

• Python programs for board practicals

Module 5: Final Project & Assessment

• Mini project (with documentation)

• Online/Offline assessment

• Certificate of Completion

🕒 Duration:

• 4 Weeks | 3 Days a Week | 1 Hour per Class

• Total: ~12–15 Hours
  Weekend or After-School Batches available

Here you will learn all topic which will assign in your syllabus. 

We teach you along with a practical session. 

🎯 What You’ll Learn

🧩 Module 1: Introduction to Programming

• What is programming?

• Basics of C++

• Setting up compiler (online and offline IDEs)

🧩 Module 2: Fundamentals of C++

• Data types, variables, constants

• Input and Output (cin, cout)

• Operators and expressions

• Writing your first C++ program

🧩 Module 3: Control Structures

• If, else-if, switch-case

• Loops: for, while, do-while

• Nested loops and logical operators

• Practice: pattern printing, number logic

🧩 Module 4: Functions and Arrays

• Built-in vs user-defined functions

• Call by value vs call by reference

• Arrays (1D and 2D)

• Sorting and searching (Bubble Sort, Linear Search)

🧩 Module 5: Object-Oriented Programming (Class 12 Focus)

• Introduction to OOP

• Classes, objects, constructors

• Inheritance and polymorphism

• Encapsulation and data hiding

• Practice with school project questions

🧩 Module 6: File Handling (CBSE Class 12)

• Creating and writing to files

• Reading and appending data

• Simple file-based student record project

🧪 Final Module: Mini Project

• Choose one:

  • Student Record Manager

  • Simple ATM or Library System

  • Marks Analysis Program

🎯 Course Objective

To equip learners with advanced Excel tools for data analysis, financial modeling, automation, and dashboard creation, aligned with corporate productivity, analytics, and MIS roles.

🧩 Module-Wise Breakdown

📦 Module 1: Excel Efficiency Tools

• Keyboard shortcuts for productivity

• Named ranges & cell referencing (absolute vs relative)

• Paste special, quick analysis, and flash fill

• Custom views and worksheet management

📊 Module 2: Advanced Formulas & Functions

• Logical Functions: IF, IFS, AND, OR, IFERROR

• Lookup Functions: VLOOKUP, HLOOKUP, INDEX & MATCH, XLOOKUP (Excel 365)

• Text Functions: LEFT, RIGHT, MID, CONCATENATE, TEXTJOIN

• Date & Time: TODAY, NOW, NETWORKDAYS, DATEDIF

• Math/Statistical: SUMIF, COUNTIF, AVERAGEIF, RANK, ROUND, RAND, RANDBETWEEN

• Array Formulas: FILTER, SORT, UNIQUE, TRANSPOSE

📊 Module 3: Data Cleaning & Validation

• Data preparation and cleansing techniques

• Removing duplicates, trimming spaces

• Data validation (drop-down lists, custom rules)

• Text to columns, split and combine data

• Power Query introduction

📉 Module 4: Data Analysis & Pivot Tables

• Creating and customizing pivot tables

• Multi-level pivot table analysis

• Calculated fields & pivot charts

• Grouping and filtering

• Slicers and timelines

• Drill-down analysis

📈 Module 5: Charts and Visualization

• Recommended charts vs custom charts

• Combo charts, dual axis charts

• Conditional formatting with icons and color scales

• Dynamic charts with named ranges

• Data bars, sparklines, trendlines

📊 Module 6: Dashboard Design

• Principles of dashboard design (KPI-driven)

• Linking slicers, interactive visualizations

• Dynamic charting and data binding

• Using form controls (buttons, drop-downs, checkboxes)

• Final project: Build a Sales or HR dashboard

⚙️ Module 7: Excel Automation with Macros (VBA Basics)

• Introduction to Macros & security settings

• Recording basic macros

• VBA editor walkthrough

• Writing simple VBA code (loops, MsgBox, functions)

• Automating repetitive tasks

💼 Module 8: Excel in Business Applications

• MIS Reporting automation

• Inventory/stock management models

• HR salary sheets and attendance trackers

• Financial modeling basics (NPV, IRR, break-even)

• Budgeting and forecasting templates

🎓 Capstone Project

Choose one:

• Dynamic business dashboard

• HR MIS report generator

• Sales/Finance KPI tracker

• Automated data consolidation workbook

🏆 Learning Outcomes

After completing this course, learners will:

• Create advanced analytical reports with pivot tables and dashboards

• Automate tasks using macros and basic VBA

• Handle real-world business datasets confidently

• Be job-ready for MIS Analyst, Business Analyst, or Excel Automation roles

📜 Certification Criteria

• Minimum 80% module completion

• At least 1 capstone project submission

• Final quiz score ≥ 70%

Duration: 12–16 Weeks
Level: Intermediate to Advanced
Mode: Online / Hybrid
Certificate: MESD Full Stack Developer Certification

🧩 Which Category Can This Go In?

• Main Category: Web Development

• Sub-Categories:

  • Full Stack Development

  • Frontend Development

  • Backend Development

  • Career-Oriented Programming

  • Software Engineering

🎯 Course Objective

To train students in building complete web applications from scratch using MongoDB, Express, React, and Node.js, enabling them to become industry-ready full-stack developers.

📚 Course Modules

📦 Module 1: Web Fundamentals Refresher

• HTML5, CSS3, JavaScript ES6+

• Responsive design using Flexbox and Grid

• Git & GitHub basics

💡 Module 2: JavaScript & Node.js Essentials

• JavaScript deep dive (callbacks, promises, async/await)

• Node.js architecture

• npm & Express.js basics

• Creating RESTful APIs

🧰 Module 3: Backend with Node.js & Express

• Express routing & middleware

• CRUD operations with MongoDB

• Mongoose schema design

• Authentication with JWT

• File upload, environment configs, API security

🧠 Module 4: Frontend Development with React

• JSX, props, and state

• React Hooks (useState, useEffect, useContext)

• Routing with React Router

• Form handling and validation

• Axios for HTTP requests

🔄 Module 5: Connecting Frontend & Backend

• Consuming REST APIs with React

• User login/signup workflow

• Protected routes and token handling

• Deployment-ready frontend and backend separation

🛢️ Module 6: MongoDB & Data Modeling

• MongoDB Atlas setup

• Mongoose relationships

• Querying, pagination, indexing

• Aggregation framework basics

🛠️ Module 7: Advanced Concepts

• Redux / Context API for state management

• Socket.IO for real-time communication

• Admin dashboards and role-based access

• Email services & cron jobs

☁️ Module 8: Deployment & DevOps

• Version control and CI/CD basics

• Deploying MERN apps to:

  • Render / Vercel (frontend)

  • Railway / Heroku / EC2 (backend)

  • MongoDB Atlas (database)

• Domain setup and SSL

👨‍💻 Capstone Projects (Choose One)

• E-commerce Store with Cart & Payment Gateway

• Job Portal with Role-Based Dashboard

• Social Media App with Likes, Comments & Realtime Chat

All projects must include GitHub code, live deployment, and documentation.

🧾 Assessment & Certification

• Weekly quizzes and code challenges

• Mid-course and final project review

• Minimum 75% attendance + 1 project submission

• MESD Full Stack Developer Certificate (industry-standard)

🎯 Course Objective

To teach students how to build responsive, dynamic, and secure web applications using core PHP, MySQL, and supporting frontend technologies. The course is structured for real-world industry application, ideal for job roles in backend development, full stack development, and freelance web design.

📚 Course Modules

🧩 Module 1: Web Development Basics

• Introduction to how the web works

• Static vs dynamic websites

• Introduction to web servers (Apache, XAMPP/WAMP)

• Project folder structure and URL routing

🔤 Module 2: HTML, CSS, and JavaScript (Frontend Essentials)

• HTML5 structure & tags

• CSS3 styling, selectors, media queries

• Basic JavaScript for form validation and interactivity

• Responsive design using Bootstrap

🔐 Module 3: PHP Fundamentals

• PHP syntax, variables, data types

• Conditional statements and loops

• Functions and scope

• GET and POST methods

• Including files and folder structure

🗄️ Module 4: PHP with Forms & Sessions

• Handling form inputs securely

• Working with cookies and sessions

• File uploads and validations

• PHP Superglobals: $_GET, $_POST, $_SESSION, $_FILES

🛢️ Module 5: Database with MySQL

• Intro to relational databases

• Database design and table structure

• SQL commands: SELECT, INSERT, UPDATE, DELETE

• Connecting PHP with MySQL using MySQLi/PDO

• Data sanitization and prepared statements

🛠️ Module 6: Building a Dynamic Web App

• User registration and login system

• Admin dashboard (CRUD operations)

• Contact form with email integration

• Pagination, search, and filtering

🧱 Module 7: Advanced PHP Concepts

• PHP with AJAX (for dynamic content without reload)

• Email sending with PHPMailer

• Password hashing & security best practices

• Error handling and debugging

☁️ Module 8: Hosting & Deployment

• Hosting a PHP site on shared hosting / cPanel

• Configuring domain, FTP, and MySQL remotely

• Deploying using FileZilla or GitHub

• Final project review

👨‍💻 Capstone Project

Choose from:

• Blog platform with admin CMS

• Job board website

• E-commerce product listing system

• Feedback/Contact portal with admin panel

📜 Certification Requirements

• Completion of all modules and quizzes

• At least one final project submitted

• Minimum score of 70% in final test

💼 Career Outcomes

🧾 Course Overview:

This course is designed to equip learners with practical knowledge of Tally ERP 9 / TallyPrime along with GST (Goods and Services Tax) concepts and implementation. It is ideal for those aiming for accounting careers, running businesses, or upgrading skills for finance-related roles.

📚 Course Modules & Topics Covered:

Module 1: Introduction to Accounting

• Basics of accounting

• Types of accounts and golden rules

• Journal entries and ledgers

Module 2: Tally ERP 9 / TallyPrime Fundamentals

• Introduction to Tally interface

• Creating, modifying, and deleting company data

• Ledger & Group creation

• Voucher entry: Payment, Receipt, Contra, Journal

• Inventory management (Stock Items, Units, Godowns)

Module 3: GST in Tally

• Understanding GST structure (CGST, SGST, IGST)

• GST registration and returns

• GST setup in Tally

• Creating GST-enabled ledgers

• Filing GSTR-1, GSTR-3B using Tally reports

Module 4: Advanced Tally Features

• Banking features (cheque, reconciliation)

• Payroll management basics

• TDS, TCS, and statutory compliance

• Cost centers and cost categories

• Export & import of data in Tally

Module 5: Practical Assignment & Project

• Real-world GST transactions

• GST billing and invoice generation

• Final project based on real company data

🕒 Course Duration:

📅 Standard Track (Regular)

• Duration: 45 Days

• Class Frequency: 1 hour per day (5 days/week)

• Total Hours: ~40–45 hours

🚀 Fast Track (Intensive)

• Duration: 20 Days

• Class Frequency: 2 hours per day (6 days/week)

• Total Hours: ~40 hours

🗓️ Weekend Batch

• Duration: 6 Weekends

• Class Frequency: 3 hours/day (Saturday & Sunday)

• Total Hours: ~36 hours

📝 Eligibility Criteria:

• Basic computer knowledge

• Suitable for commerce students, entrepreneurs, working professionals

💼 Career Opportunities:

• GST Executive

• Junior Accountant

• Billing Clerk

• Tally Operator

• Small Business Manager

Course Description: This comprehensive course on Data Science with Python is designed for learners at all levels, from beginners with no prior coding experience to advanced learners looking to deepen their data science expertise. The course covers the full spectrum of skills needed to become proficient in data science, guiding students from the basics of Python programming to advanced data science techniques and applications.

Learning Outcomes:

By the end of this course, students will:

• Master Python programming from the basics, including data types, loops, functions, and libraries.
• Develop a strong foundation in essential libraries for data science, including NumPy, Pandas, and Matplotlib, and use them for data manipulation and visualization.
• Understand and apply key statistical concepts essential for data science, such as probability, regression, and hypothesis testing.
• Perform data cleaning, transformation, and exploratory data analysis on real-world datasets.
• Use advanced Python libraries like Scikit-learn and TensorFlow for machine learning and deep learning applications.
• Build, evaluate, and optimize machine learning models, including classification, regression, clustering, and recommendation systems.
• Gain hands-on experience in project-based learning through end-to-end data science projects, from data collection and preprocessing to model building and deployment.
• Acquire the skills to work with large datasets, implement model performance improvement strategies, and deploy models in real-world scenarios.