Diploma Course in Information Technology (IT) torrent

Description

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

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

Want to work in Computer Science domain

Requirements

Nil

Last Updated 5/2021