Data Collection and Analysis for Research Excellence

Data Collection and Analysis for Research Excellence, available at $19.99, has an average rating of 4.17, with 16 lectures, based on 6 reviews, and has 97 subscribers.

You will learn about Understand the significance of research excellence. Understand the importance of a well-structured research design in achieving research objectives. Learn how to choose appropriate sampling type for research projects. Learn various data collection methods and techniques. Understand the importance of data documentation and transparency in research Acquire skills in data entry, validation, cleaning, and organization. Acquire Quantitative Data Analysis Skills Learn how to collect, transcribe, and analyze qualitative data Understand the advantages and challenges of integrating quantitative and qualitative data Explore how mixed-methods research can enhance research outcomes Comprehend research ethics and ethical principles in data collection and analysis. This course is ideal for individuals who are Learners who have interest in research and wish to improve their research skills by mastering the skills of Data Collection and Analysis It is particularly useful for Learners who have interest in research and wish to improve their research skills by mastering the skills of Data Collection and Analysis.

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Summary

Title: Data Collection and Analysis for Research Excellence

Price: $19.99

Average Rating: 4.17

Number of Lectures: 16

Number of Published Lectures: 16

Number of Curriculum Items: 16

Number of Published Curriculum Objects: 16

Original Price: ₹799

Quality Status: approved

Status: Live

What You Will Learn

Understand the significance of research excellence.
Understand the importance of a well-structured research design in achieving research objectives.
Learn how to choose appropriate sampling type for research projects.
Learn various data collection methods and techniques.
Understand the importance of data documentation and transparency in research
Acquire skills in data entry, validation, cleaning, and organization.
Acquire Quantitative Data Analysis Skills
Learn how to collect, transcribe, and analyze qualitative data
Understand the advantages and challenges of integrating quantitative and qualitative data
Explore how mixed-methods research can enhance research outcomes
Comprehend research ethics and ethical principles in data collection and analysis.

Who Should Attend

Learners who have interest in research and wish to improve their research skills by mastering the skills of Data Collection and Analysis

Target Audiences

Learners who have interest in research and wish to improve their research skills by mastering the skills of Data Collection and Analysis

Data Collection and its analysis is essential for research since it provides researchers with the necessary information to study phenomena, explore relationships, test hypotheses, and draw meaningful conclusions.

This course is designed to provide participants with the essential knowledge and skills needed to excel in data collection and analysis for research purposes. It emphasizes the importance of research excellence, ethical considerations, and systematic practices in conducting research. Participants will learn to design effective research projects, collect high-quality data, manage and analyze data using appropriate methods, and ensure research outcomes meet the highest standards of excellence.

This course structure and its objectives aim to empower participants with the tools and knowledge needed to conduct research that meets the highest standards of excellence, contributing to their academic and professional success. By the end of this course, participants will identify the key elements that contribute to research excellence, understand the importance of a well-structured research design in achieving research objectives. Explore various data collection methods and techniques, learn how to choose appropriate sampling strategies for research projects, acquire skills in data entry, validation, cleaning, and organization, perform descriptive statistics and data visualization. Gain an introduction to qualitative research methods and comprehend research ethics and ethical principles in data collection and analysis.

Course Curriculum

Chapter 1: INTRODUCTION

Lecture 1: WELCOME AND INTRODUCTION TO THE COURSE

Lecture 2: THE SIGNIFICANCE OF RESEARCH EXCELLENCE

Chapter 2: RESEARCH DESIGN AND DATA COLLECTION

Lecture 1: CRAFTING A RESEARCH QUESTION AND HYPOTHESIS

Lecture 2: SAMPLING TECHNIQUES

Lecture 3: DATA COLLECTION

Chapter 3: DATA MANAGEMENT AND ORGANIZATION

Lecture 1: DATA ENTRY, VALIDATION, AND CLEANING

Lecture 2: DATA TRANSFORMATION, ORGANIZATION, AND DOCUMENTATION

Chapter 4: QUANTITATIVE DATA ANALYSIS

Lecture 1: DESCRIPTIVE STATISTICS AND DATA VISUALIZATION

Lecture 2: INFERENTIAL STATISTICS-HYPOTHESIS TESTING, CONFIDENCE INTERVALS, AND REGRESSION

Chapter 5: QUALITATIVE DATA ANALYSIS

Lecture 1: INTRODUCTION TO QUALITATIVE RESEARCH

Lecture 2: QUALITATIVE DATA COLLECTION METHODS AND ANALYSIS TECHNIQUES

Chapter 6: MIXED METHODS RESEARCH

Lecture 1: COMBINING QUANTITATIVE AND QUALITATIVE DATA EFFECTIVELY

Lecture 2: ADVANTAGES AND CHALLENGES OF MIXED-METHODS RESEARCH

Chapter 7: ETHICAL CONSIDERATIONS FOR RESEARCH EXCELLENCE

Lecture 1: RESEARCH ETHICS AND PRINCIPLES

Lecture 2: ETHICAL DILEMMAS IN DATA COLLECTION AND ANALYSIS FOR HIGH-QUALITY RESEARCH

Chapter 8: CONCLUSION AND LIST OF FURTHER READING MATERIALS

Lecture 1: Conclusion and List of further reading materials

Instructors

Dr Sheeba Valsson
Academician in the field of Architecture and Planning.

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5 stars: 3 votes

Frequently Asked Questions

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