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
Screenshots
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