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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
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Google Forms
Section 2: MS Excel
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Introduction
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Formatting
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Formulas and Functions
Section 3: Power BI Basics
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Getting started with Power BI Desktop
Section 4: Google Drive
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Google Drive
Section 5: Digital Marketing
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Introduction
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Marketing Funnel
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Search Engine Optimization (SEO)
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How Search Engine works
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What a website is made of!
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Keyword Research
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On-page and Off-page Optimization
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Why Email marketing
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Email marketing System
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LinkedIn Profile Optimization
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Increase your Reach on LinkedIn
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Online Advertisements
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Google Ads – Search Engines
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Web Analytics
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Google Analytics
Section 6: Graphics Designing
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Illustrator Basics
Section 7: HTML
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Introduction
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Editors
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Basic Structure, Tags and Attributes
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Formatting
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Images
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Links
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Anchors
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List
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Table
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Forms
Section 8: CSS
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Introduction
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Syntax
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Class and ID
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Background properties
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Font and Text properties
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Link states
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Border properties
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List properties
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Box Model
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Float property
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Cursor
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Media query
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Practice
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Project
Section 9: Javascript
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Basics of Programming
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Introduction – JS
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Ways of Linking
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Variables
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Data Types
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Arrays
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Functions
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Objects and Classes
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Comments
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Array Methods
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Condition – If and Else
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Loops – For
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Debugging
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Best Coding Practices
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Common mistakes
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Practice
Section 10: Bootstrap
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Introduction
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Where to get Bootstrap
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Container
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Grid System
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Tables
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Buttons
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Practice
Section 11: WordPress
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WordPress. org Vs WordPress. com
Section 12: Cyber Security
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Meaning and Importance
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CIA Triad
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Common types of Security Threats
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Cybersecurity practices
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Types of Hackers
Section 13: Data Science
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Common myths
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What is Data Science and Big Data
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Applications
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Steps
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Common terminologies
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Types of Data Analytics
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Predictive Problems
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Types of Machine Learning Models
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Supervised Machine Learning Models
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Unsupervised Machine Learning Models
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Common technologies used
Section 14: Database Management System (DBMS)
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Meaning
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SQL Basics
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SELECT
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WHERE
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ORDER BY
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INSERT INTO
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UPDATE
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DELETE
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JOINS
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Stored Procedures
Section 15: Data structure Basics
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Meaning
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Arrays
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Linked List
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Stack
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Queue
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Tree
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Graph
Section 16: Video Editing Basics
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iMovie Basics
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Adobe Premiere Pro Basics
Section 17: Blockchain
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Meaning of Blockchain
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Skills required
Section 18: Project Management Methodologies
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Common methodologies
The job market for computer engineers is constantly growing and Computer Science students have greater chances of being professionally employed.
MS Excel
Power BI Basics
Google Drive
Digital Marketing
Graphics Designing
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7Introduction
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8Marketing Funnel
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9Search Engine Optimisation (SEO) - Introduction
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10How Search Engine works
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11What a website is made of!
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12Keyword research
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13On-page and Off-page Optimization Part 1
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14On-page and Off-page Optimization Part 2
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15Why Email Marketing
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16Email Marketing System Part 1
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17Email Marketing System
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18LinkedIn Profile Optimization
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19Increase your Reach
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20LinkedIn Ad Campaign
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21Online Advertisements
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22Google Ads - Search Engines
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23Web Analytics - Introduction
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24Google Analytics
CSS
Javascript
Bootstrap
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53Basics of Programming
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54Introduction
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55Ways of Linking
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56Versions
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57Variables
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58Data types
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59Arrays
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60Functions
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61Objects and Classes
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62Comments
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63Array Methods
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64Operators
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65Conditions - If and Else
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66Conditions - Switch
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67Loops - For
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68Loops - While
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69Scope
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70Events and Events Handlers
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71Popup Boxes
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72Reserved Keywords
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73Errors and Exceptional handling
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74Debugging
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75Best coding Practices
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76Common mistakes
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77Project
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78Demo 1
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79Demo 2
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80Demo 3
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81Demo 4