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BED212Education2 Unitsintermediate

Fundermentals Of Data Processing

This course is designed to equip students with knowledge of data processing in technical and vocational education, especially Business Education research. You will learn the components of data processing, hardware and software components, file management and organization in Business Education-based data. It will also interest you to learn about basics of research, approaches and designs with data gathering techniques. Relevant statistical tools you can use to analyse your data would be across and how to write your research reports.

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200h
Study Time
13
Weeks
15h
Per Week
intermediate
Math Level
Course Keywords
Data ProcessingBusiness EducationResearchStatisticsFile Management

Course Overview

Everything you need to know about this course

Course Difficulty

Intermediate Level
Builds on foundational knowledge
65%
intermediate
📊
Math Level
Moderate Math
🔬
Learning Type
Hands-on Practice

Course Topics

Key areas covered in this course

1

Data Processing Concepts

2

Research Methods

3

Statistical Analysis

4

Data Collection

5

Report Writing

6

Hypothesis Testing

Total Topics6 topics

Ready to Start

No specific requirements needed

This course is designed to be accessible to all students. You can start immediately without any prior knowledge or specific preparation.

Assessment Methods

How your progress will be evaluated (3 methods)

assignments

Comprehensive evaluation of course material understanding

Written Assessment

tutor-marked assessments

Comprehensive evaluation of course material understanding

Written Assessment

final examination

Comprehensive evaluation of course material understanding

Computer Based Test

Career Opportunities

Explore the career paths this course opens up for you

Data Analyst

Apply your skills in this growing field

Business Analyst

Apply your skills in this growing field

Research Assistant

Apply your skills in this growing field

Statistician

Apply your skills in this growing field

Database Administrator

Apply your skills in this growing field

Industry Applications

Real-world sectors where you can apply your knowledge

EducationBusinessResearchGovernmentTechnology

Study Schedule Beta

A structured 13-week journey through the course content

Week
1

Module 1: Introduction to Data Processing

4h

Unit 1: Concept of Data Processing

4 study hours
  • •Define data processing
  • •Explain components of data processing
  • •List functions of data processing
  • •Explain types of data
Week
2

Module 1: Introduction to Data Processing

4h

Unit 2: Historical Perspectives of Data Processing

4 study hours
  • •Discuss the historical perspective in data processing
  • •List application of data processing
  • •Explain necessary steps for effective data processing
Week
3

Module 1: Introduction to Data Processing

4h

Unit 3: Hardware Supports in Data Processing

4 study hours
  • •Identify input, processing and output components of data processing
  • •Discuss the anatomy of a computer system
  • •Mention specific examples of output devices
  • •Differentiate between plotters and printers
Week
4

Module 1: Introduction to Data Processing

4h

Unit 4: Software Elements in Data Processing

4 study hours
  • •Define software
  • •Differentiate between system software and application software
  • •List the functions of operating system
  • •Enumerate the considerations to be made in selecting application software
Week
5

Module 1: Introduction to Data Processing

4h

Unit 5: Data Processing File Management and Organisation

4 study hours
  • •Describe content of a computer file
  • •List operations that can be performed on the file
  • •Differentiate between relative and indexed files
  • •Discuss different data capturing techniques
Week
6

MODULE 2: DATA PROCESSING IN EDUCATIONAL RESEARCH

4h

Unit 1: Research Problem: Identification and Formulation

4 study hours
  • •Define the term research problem
  • •Mention roles of theory in research formulation
  • •List sources of research problem
  • •Explain both internal and external criteria for research problem formulation
  • •Describe considerations in selecting a research problem
  • •Discuss characteristics of a good research problem
Week
7

MODULE 2: DATA PROCESSING IN EDUCATIONAL RESEARCH

4h

Unit 2: Research Questions and Hypotheses for Data Processing

4 study hours
  • •Define a research question
  • •Explain PICO approach to research question
  • •Explain the characteristics of research questions
  • •Describe hypotheses with specific example
Week
8

MODULE 2: DATA PROCESSING IN EDUCATIONAL RESEARCH

4h

Unit 3: Research Approaches and Designs I

4 study hours
  • •Differentiate between quantitative and qualitative research approaches
  • •Explain the principles of quantitative research
  • •Discuss the process of qualitative research
Week
9

MODULE 2: DATA PROCESSING IN EDUCATIONAL RESEARCH

4h

Unit 4: Research Approaches and Designs II

4 study hours
  • •Explain descriptive survey design
  • •Enumerate areas of strengths and weaknesses of experimental research design
  • •Identify possible insights to goals which exploratory research that are intended to produce
  • •Describe longitudinal research design
Week
10

MODULE 2: DATA PROCESSING IN EDUCATIONAL RESEARCH

4h

Unit 5: Data Collection Tools and Methods

4 study hours
  • •List research instruments and explain types of questionnaire
  • •Differentiate between focus group and tasting panel
  • •Enumerate limitations of interviews as research tool
Week
11

MODULE 3: STATISTICS IN EDUCATIONAL RESEARCH

4h

Unit 1: Introduction to Statistics

4 study hours
  • •Define statistics
  • •Explain types of statistics
  • •Organize a set of scores
  • •Explain graphical representations
Week
12

MODULE 3: STATISTICS IN EDUCATIONAL RESEARCH

4h

Unit 2: Methods of Representing Data and Measures of Central Tendency

4 study hours
  • •Construct a pie chart using given data
  • •Construct and describe histogram
  • •Draw a composite table and construct a frequency polygon
  • •Draw a composite table and construct an ogive
  • •Calculate the mean, median and mode of a given data
Week
13

MODULE 3: STATISTICS IN EDUCATIONAL RESEARCH

8h

Unit 3: Measures of Variability or Spread

4 study hours
  • •Find the range in a given set of scores
  • •Explain and find the quartiles in a distribution
  • •Find the percentiles in a given set of scores
  • •Calculate the variance in a given set of scores
  • •Calculate the standard deviation in a distribution

Unit 4: Measures of Association/Correlation

4 study hours
  • •Define correlation
  • •Illustrate the scatter-grams of various correlations
  • •Calculate the Pearson r
  • •Calculate the Spearman rho

This study schedule is in beta and may not be accurate. Please use it as a guide and consult the course outline for the most accurate information.

Course PDF Material

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Study Tips & Exam Preparation

Expert tips to help you succeed in this course

1

Create concept maps linking data processing components (Units 1-5)

2

Practice formulating research questions and hypotheses (Module 2)

3

Review statistical formulas and practice calculations (Module 3)

4

Focus on understanding research designs and data collection methods (Units 3-5, Module 2)

5

Study examples of research reports and practice writing summaries (Unit 6, Module 3)

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