A Computer Application course is a program that teaches individuals how to use computer software and technology for various purposes, from personal use to professional development. It focuses on practical skills and knowledge related to applications like word processing, spreadsheets, database management, and programming.
| DURATION - ONE YEAR |
DURATION - TWO YEARS |
1. SQL:-
a) Understand the fundamentals of relational databases and SQL
b) Master the SQL syntax and commonly used SQL commands
c) Query and retrieve data from single and multiple database tables
d) Use filtering, sorting, and aggregating techniques to manipulate data
e) Create and modify databases tables, views, and indexes
f) Implement data integrity constraints and ensure data consistency
g) Perform advanced SQL operations, such as subqueries and joins
h) Write effecient and optimized SQL queries for improved performance
i) Design databases effectively, including database schema and normalization principles
j) Secure your databases
| 1. Getting started |
2. C++
a) Object Oriented programming principles
b) Introduction to C++
c) Basic Programming
d) Control Statement
e) Arrays
f) Structure
g) Functions
h) Object Oriented Programming
i) Functions overloading
j) Constructor & Destructors
k) In Heritance
l) I/O Steams & files
m) Exception Handling |
2. Python Fundamentals |
3. Introduction of Networking
a) Introduction
b) Computer Networks
c) Types of Networks
d) The Cloud
e) Modulation Techniques
f) TCP/IP
g) Cellular / wireless connectivity protocols
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3. Data Handling |
| 4. Projects
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4. String Manipulation |
5. Communications
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5. List Manipulation |
| 6. Workshops |
6. Tuples |
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7.Dictionaries |
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8. Set & Frozen set |
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9. Operators |
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10. Program Control Flow |
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11. Introduction to Functions
(Built in functions) |
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12. User Defined Functions |
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13. Recursion Functions |
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14. Modules & Packages(Built in Modules) |
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15. User Defined Modules |
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16. File Operations (Text & Bytes Files) |
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17. Format Classes & Objects |
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18. Exception Handling |
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20. Databases |
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21.GUI Programming |
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22. Revisiting Python |
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23. Introduction to Data Analytics |
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24. Library for Data Analytics |
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25. Statistics |
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26. Jupiter Notebook |
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27. Nurnpy |
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28. Scipy |
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29. Pandas |
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30. Matplotlib |
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31. Seaborn |
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32. Web Scraping |
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33. Introduction to ML |
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34. Projects |
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35. Workshops |
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36. Communications & Presentation Skills |
JOB OPPORTUNITIES: Programmer, Data Base Administrator, Software Development, IT Support, Computer System Analysts
INDUSTRIES WHERE GRAPHIC DESIGNER ARE EMPLOYED
: IT & Software Services, Banking, Financial Services & Insurance, E-commerce & Retail, Telecommunications, Healthcare Comapnies, BPO/KPO