Diploma Course in Information Technology (IT)

About Diploma Course in Information Technology (IT)

_This course contains the use of artificial intelligence._

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 Forms

Google Forms

Section 2: MS Excel

Introduction

Formatting

Formulas and Functions

Section 3: Power BI Basics

Getting started with Power BI Desktop

Section 4: Google Drive

Google Drive

Section 5: 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 6: Graphics Designing

Illustrator Basics

Section 7: HTML

Introduction

Editors

Basic Structure, Tags and Attributes

Formatting

Images

Links

Anchors

List

Table

Forms

Section 8: CSS

Introduction

Syntax

Class and ID

Background properties

Font and Text properties

Link states

Border properties

List properties

Box Model

Float property

Cursor

Media query

Practice

Project

Section 9: 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

Debugging

Best Coding Practices

Common mistakes

Practice

Section 10: Bootstrap

Introduction

Where to get Bootstrap

Container

Grid System

Tables

Buttons

Practice

Section 11: WordPress

Wordpress. org Vs Wordpress. com

Section 12: Cyber Security

Meaning and Importance

CIA Triad

Common types of Security Threats

Cybersecurity practices

Types of Hackers

Section 13: 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

Section 14: Database Management System (DBMS)

Meaning

SQL Basics

SELECT

WHERE

ORDER BY

INSERT INTO

UPDATE

DELETE

JOINS

Stored Procedures

Section 15: Data structure Basics

Meaning

Arrays

Linked List

Stack

Queue

Tree

Graph

Section 16: Video Editing Basics

iMovie Basics

Adobe Premiere Pro Basics

Section 17: Blockchain

Meaning of Blockchain

Skills required

Section 18: Project Management Methodologies

Common methodologies

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