Diploma Course in Information Technology (IT)

[mitsumi]

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | VTT | Size: 2.39 GB | Duration: 6h 4m
Upskill in IT industry - HTML, CSS, Javascript, Bootstrap, Digital Marketing, Data Science, MS Excel, and many more

What you'll learn
Digital Marketing
Google forms
MS Excel basics
HTML
CSS
JavaScript
Bootstrap
Data Science basics

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 Drive

Google Drive

Section 2: Google Forms

Google Forms

Section 3: MS Excel

Introduction

Formatting

Formulas and Functions

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

Section 9: DataBase Management System (DBMS)

Meaning

SQL Basics

SELECT

WHERE

ORDER BY

INSERT INTO

UPDATE

DELETE

JOINS

Stored Procedures

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

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