Diploma Course in Information Technology (IT)

The job market for computer engineers is constantly growing and Computer Science students have greater chances of being professionally employed. Majoring in this field can lead to lucrative careers that will remain in high demand. Upskill your game by learning the same.

This course starts from the very basic and then covers the advanced topics.

Assignments are given for practice and test your current understanding. Hope you will learn a lot from this course.

Topics covered:

Section 1: Google Drive

• Google Drive

Section 2: Google Forms

• Google Forms

Section 3: MS Excel

• MS Excel basics

Section 4: Digital Marketing

• Introduction

• Marketing Funnel

• Search Engine Optimization (SEO)

• How Search Engine works

• What a website is made of!

• Keyword Research

• On-page and Off-page Optimization

• Why Email marketing

• Email marketing System

• LinkedIn Profile Optimization

• Increase your Reach on LinkedIn

• Online Advertisements

• Google Ads - Search Engines

• Web Analytics

• Google Analytics

Section 5: HTML

• Introduction

• Editors

• Basic Structure, Tags and Attributes

• Formatting

• Images

• Links

• Anchors

• List

• Table

• Forms

Section 6: CSS

• Introduction

• Syntax

• Class and ID

• Background properties

• Font and Text properties

• Link states

• Border properties

• List properties

• Box Model

• Float property

• Cursor

• Practice

• Project

Section 7: Javascript

• Basics of Programming

• Introduction - JS

• Ways of Linking

• Variables

• Data Types

• Arrays

• Functions

• Objects and Classes

• Comments

• Array Methods

• Condition - If and Else

• Loops - For

• Practice

Section 8: Bootstrap

• Introduction

• Where to get Bootstrap

• Container

• Grid System

• Tables

• Practice

Section 9: Data Science

• Common myths

• What is Data Science and Big Data

• Applications

• Steps

• Common terminologies

• Types of Data Analytics

• Predictive Problems

• Types of Machine Learning Models

• Supervised Machine Learning Models

• Unsupervised Machine Learning Models

• Common technologies used

The job market for computer engineers is constantly growing and Computer Science students have greater chances of being professionally employed.