Data Processing And Information Technology

Practical Skills in Data Analysis, Computer Hardware Configuration and More

What you'll learn

1.1 Define the Computer.

1.2 Narrate the historical development of the Computer.

1.3 Classify computer according to generation from the 1st to the 5th generations (and any other generation).

1.4 Distinguish among analog, digital and hybrid computers.

1.5 Explain the social implications of computers on society

1.6 List the benefits of computers to the society

1.7 Explain the various control measures to counter the disadvantages of using a computer.

Section 2: Understand Computer Operating Systems and Software

2.1 Describe the computer hardware configuration.

2.2 Identify the basic components of a computer

2.3 Describe the unit of memory storage.

2.4 Describe the computer software.

2.5 Distinguish between systems software and Applications software

2.6 Distinguish between software and hard ware.

2.7 Explain Microsoft Window.

2.8 Demonstrate the use of all the items in the desktop

2.9 Perform operation using warm and cool booting

2.10 Demonstrate the use of task bar and the start button

2.11 Demonstrate the use of the features of window

2.12 Demonstrate different ways of logging on to window.

Section 3: Know the principles and methods of data processing

3.1 Define Data processing.

3.2 Explain the methods of data processing

3.3 Explain the stages of data processing.

3.4 Explain the various types of data processing techniques.

Section 4: Understand the principles of data management

4.1 Explain the various methods of data collection.

4.2 Explain the various methods of data preparation.

4.3 Explain the various methods of data validation.

4.4 Explain methods of transmitting data.

5.1 Explain Data Communication.

5.2 Explain Data Transmission.

5.3 Explain Internet, EMail, E-Commerce, etc.

Section 5: Understand system concept

5.1 Define a system

5.2 Classify systems into manual and automated.

5.3 Compare systems in manual and automated system

5.4 List examples of manual and automated systems

Section 6: Know the various stages of system analysis

6.1 Define system analysis

6.2 List the stages of system development

6.3 Explain system planning, control and co-ordination.

Section 7: Understand system design.

7.1 Explain system design.

7.2 Explain system specification.

7.3 List tools of system specification

7.4 Explain programme specification.

7.5 List the tools of programming.

7.6 Explain system documentation. (input, output, processing access made) and standards.

Section 8 Understand word processing packages and their applications to business

Requirements

No prior computer knowledge required

Description

In today's fast-paced digital world, understanding the fundamentals of data processing and information technology is essential for anyone looking to excel in the tech industry. This comprehensive course is designed to equip you with the knowledge and skills needed to effectively manage, analyze, and process data using various information technologies.What You'll Learn:Introduction to ICT: Begin your journey with a solid foundation in Information Communication Technology, exploring its significance and applications.Operating Systems & Software: Gain insights into different computer operating systems, software types, and their roles in data processing.Data Processing Principles: Understand the core principles and methods of data processing, and how they are applied in real-world scenarios.Data Management: Learn the techniques for managing data effectively, ensuring data integrity, security, and accessibility.System Concepts & Analysis: Delve into system concepts, including the stages of system analysis and design, to streamline processes and improve efficiency.Word Processing & Spreadsheets: Discover the practical applications of word processing and spreadsheet software in business, enhancing your productivity and decision-making capabilities.Why Enroll?Whether you're a student, aspiring IT professional, or someone looking to improve your data processing skills, this course offers a structured approach to mastering essential ICT concepts. With clear explanations, practical examples, and hands-on exercises, you'll be well-prepared to tackle the challenges of the digital age.Course Features:Comprehensive Content: 10 detailed sections covering all aspects of data processing and information technology.Expert Instruction: Learn from industry professionals with years of experience in the field.Flexible Learning: Study at your own pace with lifetime access to the course materials.Certification: Receive a certificate upon successful completion to boost your resume and career prospects.Join now and take the first step towards becoming proficient in data processing and information technology!

Overview

Section 1: Introduction

Lecture 1 Course Outline

Lecture 2 Join our Community

Lecture 3 Exercise: Connect and Engage with Your Learning Community

Section 2: Introduce students to Information Communication Technology

Lecture 4 Definition of Computer.

Lecture 5 What is Information Communication Technology? (ICT)

Lecture 6 The historical development of the Computer.

Lecture 7 Classify computer according to generation from the 1st to the 5th generations

Lecture 8 Analog, Digital and Hybrid computers.

Lecture 9 The social implications of computers on society.

Lecture 10 The benefits of computers to the society.

Lecture 11 The various control measures to counter the disadvantages of using a computer.

Section 3: Computer Operating Systems and Software

Lecture 12 The computer hardware configuration.

Lecture 13 The basic components of a computer

Lecture 14 The unit of memory storage

Lecture 15 The computer software.

Lecture 16 The difference between systems software and Applications software

Lecture 17 The difference between software and hardware

Lecture 18 Microsoft Windows.

Lecture 19 The use of some basic tools available in Windows

Lecture 20 Windows 10 vs 11 | Features & Changes

Lecture 21 warm and cool booting

Lecture 22 The use of the features of Windows

Lecture 23 Different ways of logging on to window.

Section 4: The principles and methods of data processing

Lecture 24 what is Data Processing

Lecture 25 The methods of data processing

Lecture 26 The stages of data processing.

Section 5: The principles of data management

Lecture 27 The various methods of data collection

Lecture 28 The various methods of data preparation.

Lecture 29 The various methods of data validation.

Lecture 30 Methods of transmitting data

Lecture 31 The various methods of data collection

Lecture 32 Methods of data storage

Lecture 33 Need for data protection

Section 6: System Concept

Lecture 34 Learning Objectives

Lecture 35 What is a system?

Lecture 36 Classification of systems into manual and automated

Lecture 37 Comparing systems into manual and automated

Lecture 38 Examples of manual and automated systems

Section 7: The various stages of system analysis

Lecture 39 What is system analysis?

Lecture 40 The stages of system development

Lecture 41 The stages of system development

Lecture 42 System Planning

Section 8: System design.

Lecture 43 system design definition

Lecture 44 what you should know about system specification

Lecture 45 tools of system specification

Lecture 46 programme specification

Lecture 47 tools of programming

Lecture 48 system documentation. (input, output, processing access made) and standards.

Section 9: Word processing packages and their applications to business

Lecture 49 Definition of word processing package

Lecture 50 The use of word processing software in business.

Lecture 51 Advantages and Disadvantages of Word Processors

Lecture 52 Mastering File Management: Essential Skills for Efficiency

Lecture 53 Essential Software Operations: A Step-by-Step Guide

Lecture 54 Recommended YouTube video: Beginner's Guide to Microsoft Word

Lecture 55 Recommeded YouTube video: Word Advanced Tutorial

Lecture 56 Types of words Processor

Lecture 57 Starting and performing other operations in word

Section 10: Data Processing using Spreadsheet Package

Lecture 58 What is Spreadsheet?

Lecture 59 Introduction to Spreadsheet Software like Microsoft Excel

Lecture 60 The basic functions and features of spreadsheet software.

Lecture 61 Learn how to input and format data in spreadsheets.

Lecture 62 Gain proficiency in performing basic calculations and using simple formulas.

Lecture 63 Explore data visualization techniques such as creating basic charts and graphs

Lecture 64 Master efficient dataset management inclu. validation & conditional formatting.

Lecture 65 Develop skills in sorting and filtering data to extract relevant information

Lecture 66 complex functions and array formulas for advanced data analysis

Lecture 67 Advance modeling techniques, what-if analysis

Lecture 68 Enhance proficiency in data manipulation using advanced functions and formular.

Lecture 69 Learn advanced data manipulation like consolidation & cleansing.

Lecture 70 Body Mass Index (BMI) in Excel

Zero computer intended learners