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.

Assignments are given for practice and to 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 16: 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.