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Framework for Data Collection and Analysis

Frauke Kreuter, Ph.D. and Mariel Leonard

This course will provide you with an overview over existing data products and a good understanding of the data collection landscape. With the help of various examples you will learn how to identify which data sources likely matches your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. Furthermore this course will provide you with a general framework that allows you to not only understand each step required for a successful data collection and analysis, but also help you to identify errors associated with different data sources. You will learn some metrics to quantify each potential error, and thus you will have tools at hand to describe the quality of a data source. Finally we will introduce different large scale data collection efforts done by private industry and government agencies, and review the learned concepts through these examples. This course is suitable for beginners as well as those that know about one particular data source, but not others, and are looking for a general framework to evaluate data products.

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What's inside

Syllabus

Research Designs and Data Sources
The first course in the specialization provides an overview of the topics to come. This module walks you through the process of data collection and analysis. Starting with a research question and a review of existing data sources, we cover survey data collection techniques, highlight the importance of data curation, and discuss some basic features that can affect your data analysis when dealing with sample data. Issues of data access and resources for access are introduced in this module.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Introduces learners to a range of data products and provides a solid understanding of the data collection ecosystem
Suitable for beginners as well as those familiar with specific data sources
Teaches learners how to translate research questions into measurable components
Provides a valuable framework for evaluating data quality and identifying errors
Emphasizes the importance of having a well-defined research question and analysis plan
Suitable for learners interested in understanding different data collection strategies and modes

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Reviews summary

Framework for data collection and analysis

According to students, this course offers a largely positive introduction to the world of data collection and analysis. Learners highlight the comprehensive framework provided, which helps structure thinking around different data sources and potential errors. Many found the lectures clear and well-structured, offering a good overview of the landscape. The discussion of various data collection strategies and modes was also frequently mentioned as a helpful aspect. Some reviewers appreciated the course's focus on the theoretical `quality framework`, though a few noted it could benefit from more hands-on examples or deeper dives into practical applications. The course is generally considered suitable for beginners, providing a solid foundation, but may serve more as a broad overview rather than an in-depth technical training.
Strong on theory, could use more practical examples.
"The quality framework is quite theoretical. More practical, hands-on examples would be beneficial."
"While the concepts are solid, I wished there were more real-world case studies or exercises."
"It's heavily based on the theoretical framework, which is useful, but I was hoping for more application."
"Good theoretical grounding, but consider supplementing with something more practice-oriented if that's your goal."
Provides a wide perspective, but lacks depth in areas.
"This course gives a great overview of the field, touching on many different aspects."
"It's a good starting point to understand the landscape, but don't expect deep technical skills."
"I feel like I have a broad understanding now, but some topics were only covered briefly."
"Useful as an introduction, but you'll need other resources for in-depth knowledge on specific methods."
Accessible for newcomers to data collection.
"As a beginner, I found this course very accessible and a great entry point."
"The course description says it's good for beginners, and I agree. It sets a solid foundation."
"It's not overly technical, making it easy to follow even without prior experience in data."
"Great course if you're just starting out and want an overview of the different aspects."
Content is easy to understand and well-presented.
"The lectures are clear and easy to follow, even for someone relatively new to the topic."
"I found the explanations to be concise and straightforward, making complex ideas accessible."
"The instructors did a great job explaining the concepts in a way that made sense."
"The course materials were very well-organized and helped me grasp the core ideas quickly."
Offers a structured way to approach data projects.
"The framework for analyzing data collection is very helpful and provides a structured way to think about projects."
"Provides a general framework that allows you to not only understand each step required for a successful data collection and analysis..."
"I really appreciate the way the course broke down the data collection and analysis process into a clear framework."
"The framework itself is the strongest part, giving a clear structure to evaluate different data sources."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Framework for Data Collection and Analysis with these activities:
Gather course materials
Ensure you have all the necessary resources to fully engage with the course.
Show steps
  • Download and print lecture slides and assignments.
  • Acquire any textbooks or supplemental readings required for the course.
Review statistical concepts
Familiarize yourself with the foundational principles of statistics before starting the course.
Browse courses on Sampling Techniques
Show steps
  • Revisit notes or textbooks from previous statistics courses.
  • Complete online quizzes or practice problems to test your understanding.
Explore data visualization tools
Develop a strong foundation in data visualization techniques to enhance your comprehension of data analysis concepts.
Browse courses on Data Visualization
Show steps
  • Enroll in online tutorials or workshops on data visualization.
  • Work through hands-on exercises to create visualizations from real-world datasets.
  • Experiment with different data visualization tools to find ones that align with your interests and learning style.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a study group
Connect with peers and foster a supportive learning environment.
Show steps
  • Reach out to classmates or fellow students to form a study group.
  • Set regular meeting times and establish clear goals for each session.
  • Work together to review course materials, solve problems, and prepare for assessments.
Connect with experts in the field
Seek guidance and advice from experienced professionals to accelerate your learning.
Show steps
  • Attend industry events or conferences.
  • Reach out to professionals on LinkedIn or other professional networking platforms.
  • Request informational interviews to learn about career paths and industry trends.
Solve data analysis problems
Deepen your understanding of data analysis techniques through consistent practice.
Browse courses on Data Analysis
Show steps
  • Find online repositories or textbooks with data analysis exercises.
  • Allocate dedicated time for practicing data analysis problems.
  • Review your solutions and compare them with expert answers to identify areas for improvement.
Participate in data science hackathons
Apply your knowledge in a competitive environment and learn from experienced professionals.
Browse courses on Data Science
Show steps
  • Identify data science hackathons that align with your interests and skill level.
  • Team up with fellow students or professionals to form a team.
  • Work together to develop innovative solutions to real-world data challenges.

Career center

Learners who complete Framework for Data Collection and Analysis will develop knowledge and skills that may be useful to these careers:
Data Architect
A Data Architect is responsible for designing and implementing data systems. This course can help prepare you for this role by providing you with a framework for data collection and analysis. You will learn how to identify which data sources are likely to match your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. This knowledge will be essential for you to be successful as a Data Architect.
See salaries and explore the career path for Data Architect
Data Scientist
A Data Scientist is responsible for developing and implementing data-driven solutions to business problems. This course can help prepare you for this role by providing you with a framework for data collection and analysis. You will learn how to identify which data sources are likely to match your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. This knowledge will be essential for you to be successful as a Data Scientist.
See salaries and explore the career path for Data Scientist
Machine Learning Engineer
A Machine Learning Engineer is responsible for developing and implementing machine learning models to solve business problems. This course can help prepare you for this role by providing you with a framework for data collection and analysis. You will learn how to identify which data sources are likely to match your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. This knowledge will be essential for you to be successful as a Machine Learning Engineer.
See salaries and explore the career path for Machine Learning Engineer
Statistician
A Statistician is responsible for collecting, analyzing, and interpreting data. This course can help prepare you for this role by providing you with a framework for data collection and analysis. You will learn how to identify which data sources are likely to match your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. This knowledge will be essential for you to be successful as a Statistician.
See salaries and explore the career path for Statistician
Research Analyst
A Research Analyst is responsible for conducting research on a variety of topics. This course can help prepare you for this role by providing you with a framework for data collection and analysis. You will learn how to identify which data sources are likely to match your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. This knowledge will be essential for you to be successful as a Research Analyst.
See salaries and explore the career path for Research Analyst
Product Manager
A Product Manager is responsible for the development and launch of new products. This course can help prepare you for this role by providing you with a framework for data collection and analysis. You will learn how to identify which data sources are likely to match your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. This knowledge will be essential for you to be successful as a Product Manager.
See salaries and explore the career path for Product Manager
Financial Analyst
A Financial Analyst is responsible for analyzing financial data to make investment recommendations. This course can help prepare you for this role by providing you with a framework for data collection and analysis. You will learn how to identify which data sources are likely to match your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. This knowledge will be essential for you to be successful as a Financial Analyst.
See salaries and explore the career path for Financial Analyst
Market Research Analyst
A Market Research Analyst conducts research on consumer markets to determine the potential demand for a new product or service. This course can help prepare you for this role by providing you with a framework for data collection and analysis. You will learn how to identify which data sources are likely to match your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. This knowledge will be essential for you to be successful as a Market Research Analyst.
See salaries and explore the career path for Market Research Analyst
Operations Manager
An Operations Manager is responsible for the day-to-day operations of a business. This course can help prepare you for this role by providing you with a framework for data collection and analysis. You will learn how to identify which data sources are likely to match your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. This knowledge will be essential for you to be successful as an Operations Manager.
See salaries and explore the career path for Operations Manager
Customer Success Manager
A Customer Success Manager is responsible for ensuring that customers are satisfied with their products and services. This course can help prepare you for this role by providing you with a framework for data collection and analysis. You will learn how to identify which data sources are likely to match your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. This knowledge will be essential for you to be successful as a Customer Success Manager.
See salaries and explore the career path for Customer Success Manager
Business Analyst
A Business Analyst helps businesses to improve their performance by analyzing their data and processes. This course can help prepare you for this role by providing you with a framework for data collection and analysis. You will learn how to identify which data sources are likely to match your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. This knowledge will be essential for you to be successful as a Business Analyst.
See salaries and explore the career path for Business Analyst
Actuary
An Actuary is responsible for assessing financial risk. This course can help prepare you for this role by providing you with a framework for data collection and analysis. You will learn how to identify which data sources are likely to match your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. This knowledge will be essential for you to be successful as an Actuary.
See salaries and explore the career path for Actuary
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help businesses make informed decisions. This course can help prepare you for this role by providing you with a framework for data collection and analysis. You will learn how to identify which data sources are likely to match your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. This knowledge will be essential for you to be successful as a Data Analyst.
See salaries and explore the career path for Data Analyst
Sales Manager
A Sales Manager is responsible for leading and motivating a team of salespeople. This course can help prepare you for this role by providing you with a framework for data collection and analysis. You will learn how to identify which data sources are likely to match your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. This knowledge will be essential for you to be successful as a Sales Manager.
See salaries and explore the career path for Sales Manager
Marketing Manager
A Marketing Manager develops and executes marketing campaigns to promote products and services. This course can help prepare you for this role by providing you with a framework for data collection and analysis. You will learn how to identify which data sources are likely to match your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. This knowledge will be essential for you to be successful as a Marketing Manager.
See salaries and explore the career path for Marketing Manager

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Framework for Data Collection and Analysis.
Cover image
The Elements of Statistical Learning
Save
This classic textbook offers a comprehensive overview of statistical learning methods, covering a wide range of topics from data visualization and feature selection to supervised and unsupervised learning.
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Kindle Edition
$$$
Cover image
Principles of Data Mining
Save
Offers a systematic and detailed overview of the principles and challenges of data collection and analysis, providing a solid theoretical foundation andpractical guidelines.
Principles of Data Mining (Adaptive Computation and...
Hardcover
$$$
Cover image
Data Analysis for Social Science
Save
Provides a comprehensive overview of the data collection and analysis process, from research design to data interpretation. It valuable resource for students and researchers in the social sciences.
Data Analysis for Social Science: A Friendly and...
Paperback
$$
Data Analysis for Social Science: A Friendly and...
Kindle Edition
$$
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The Practice of Social Research
Save
Is considered a classic in the field of research methods and provides an overview of the entire research process.
The Practice of Social Research (MindTap Course...
Paperback
$$$
The Practice of Social Research - Standalone Book
Hardcover
$$$
The Practice of Social Research, 13th Edition
Hardcover
$$$$
The Practice of Social Research (with InfoTrac)
Hardcover
$$
The Practice of Social Research (with CD-ROM and...
Hardcover
$$$
Bundle: The Practice of Social Research, Loose-leaf...
Product Bundle
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The Practice of Social Research (Available Titles...
Hardcover
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The Practice of Social Research [Paperback] Babbie,...
Paperback
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The Practice of Social Research (text only)...
Hardcover
$$
Practice of Social Research
Hardcover
$$
The Practice of Social Research (MindTap Course...
Kindle Edition
$$$
Cover image
Statistics
Save
Provides a comprehensive introduction to data analysis for students and researchers in the life sciences, covering essential statistical methods and their applications in R.
Statistics
Paperback
Check
Statistics
Kindle Edition
Check
Cover image
Introductory Applied Statistics
Save
This introductory textbook on statistics assumes no prior knowledge and provides a clear and intuitive explanation of statistical concepts and methods.
Introductory Applied Statistics: With Resampling...
Hardcover
$$$
Introductory Applied Statistics: With Resampling...
Paperback
$$$
Cover image
Research Design
Save
Provides a detailed guide to the data collection and analysis process, including tips and examples.
Research Design: Qualitative, Quantitative, and...
Paperback
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Research Design: Qualitative, Quantitative, and...
Paperback
$$$
Research Design: Qualitative, Quantitative, and...
Kindle Edition
$$$
Methods of Social Research
Save
Provides a comprehensive overview of statistical methods and techniques, including both descriptive and inferential statistics.
Methods of Social Research
Paperback
Check
Methods of Social Research
Kindle Edition
Check
Cover image
Practice Education in Social Work
Save
Provides a practical guide to research methods and techniques for social workers.
Practice Education in Social Work: Achieving...
Kindle Edition
$$
Practice Education in Social Work: Achieving...
Kindle Edition
$$
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Research Justice
Save
Provides a practical guide to research methods and techniques for social work students and practitioners.
Research Justice: Methodologies for Social Change
Paperback
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Research Justice: Methodologies for Social Change
Kindle Edition
$$
Cover image
The Research Methods Knowledge Base
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Provides a basic overview of research methods and techniques for practitioners in the field of social work.
Research Methods: The Essential Knowledge Base
Paperback
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NEW-RESEARCH METHODS: THE ESSENTIAL KNOWLEDGE BASE
Paperback
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The Research Methods Knowledge Base, 3rd Edition
Paperback
$$$$
Research Methods: The Concise Knowledge Base...
Paperback
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Cover image
Essentials of Public Health Research Methods
Save
Provides a concise overview of research methods and techniques.
Essentials of Public Health Research Methods
Paperback
$$$
Essentials of Public Health Research Methods
Kindle Edition
$$$
Cover image
Social Justice Research Methods for Doctoral...
Save
Provides a critical overview of research methods and techniques with a focus on social justice.
Social Justice Research Methods for Doctoral...
Hardcover
$$$$

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Effort
4 weeks of study, 1-2 hours/week
Level
Intermediate
Via
Coursera
Institution
University of Maryland, College Park
Instructors
Frauke Kreuter, Ph.D.
Mariel Leonard
Language
English
Transcripts
Español Français Português Deutsch Italiano 中文 العربية 한국어 日本語 हिंदी Nederlands Svenska Pусский Türkçe Polski Ελληνικά українська мова magyar nyelv Bahasa Indonesia ไทย қазақша اُردُو, فارسی বাংলা tiếng Việt پښتو آذربایجان دیلی
This course belongs to a collection called Survey Data Collection and Analytics . It's comprised of seven courses:
  1. Dealing With Missing Data
  2. Framework for Data Collection and Analysis (viewing)
  3. Combining and Analyzing Complex Data
  4. Questionnaire Design for Social Surveys
  5. Sampling People, Networks and Records
  6. Survey Data Collection and Analytics Project (Capstone)
  7. Data Collection: Online, Telephone and Face-to-face
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Introduces learners to a range of data products and provides a solid understanding of the data collection ecosystem
Suitable for beginners as well as those familiar with specific data sources
Teaches learners how to translate research questions into measurable components
Provides a valuable framework for evaluating data quality and identifying errors
Emphasizes the importance of having a well-defined research question and analysis plan
Suitable for learners interested in understanding different data collection strategies and modes
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