Diploma Course in Information Technology (IT)
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 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.
Upskill in IT industry - Web Development, Digital Marketing, Data Science, MS Excel, Graphics designing and many more
Url: View Details
What you will learn
- Get Diploma Certificate in Computer Science
- Understand nuances in Digital Marketing
- How to get responses in Google forms
Rating: 3.97059
Level: Beginner Level
Duration: 8 hours
Instructor: Akaaro Consulting and Training
Courses By: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
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