Information Gathering and Vetting (Coursera)

Information Gathering and Vetting (Coursera)

Information is key to every decision and every strategic move you make. But ensuring you have the right information takes work. Don’t look in every direction for an answer, and don’t force the solution you’re looking for. Instead, you can use a hypothesis and test it with data until the data fits the situation you’re looking at.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

With the expertise of Dr. Timiebi Aganaba from the ASU School for the Future of Innovation in Society, the Information Gathering and Vetting course will put the tools, knowledge and strategies for high-quality research directly into your hands. You’ll learn the fundamentals and get acquainted with your research toolkit. Then, you’ll directly apply them in hands-on scenarios.
Data collection is not about using every source you come across. It’s about finding relevant information after testing multiple points of view — in other words, vetting your information. You will need to test data against your assumptions and dig for the insights you can share — skills that anyone can learn and apply anywhere. Jump-start your research journey today!
Course 2 of 4 in the Strategic Thinking for Everyone Specialization.

Syllabus

WEEK 1: Welcome to Information Gathering and Vetting!
WEEK 2: Collecting data with a hypothesis
WEEK 3: Getting the most of data you collect
WEEK 4: Sharing new insights from data
WEEK 5: Course Conclusion

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Emerging Approaches for Measuring Population Health (Coursera) Coursera
Johns Hopkins University

Emerging Approaches for Measuring Population Health (Coursera)

In this course, you will learn about traditional and emerging techniques in population-level data collection that can be used to strengthen public health programs and policies. Experts from around the world will define and explain key concepts in the design and implementation of population-based surveys, focusing on the use of emerging survey techniques such as mobile phone and web-based surveys, health services data and health information systems, and population-based health registries.

Oct 12th 2026
4 Weeks
Strategic Thinking (Coursera) Coursera
Arizona State University

Strategic Thinking (Coursera)

Planning will get you far, but only if you know what you’re planning for. To think strategically, you need to analyze insights and evaluate possible scenarios before building that strategy. It’s possible to eliminate some uncertainties and identify trends, but you need the right process. You’ll have to gain insights first, and then take a long look at what you have. With all the right information, you can start to make informed decisions about your next steps.

Sep 28th 2026
5-12 Weeks
Pesquisa de Mercado com Métodos Qualitativos (Coursera) Coursera
FIA Business School

Pesquisa de Mercado com Métodos Qualitativos (Coursera)

Nossas boas-vindas ao Curso Pesquisa de Mercado com Métodos Qualitativos. Neste curso, você aprenderá sobre a pesquisa qualitativa em marketing. As metodologias de pesquisa que fazem parte desta categoria serão discutidas, tendo como pano de fundo seu uso no contexto da tomada de decisão gerencial de marketing.

Sep 28th 2026
4 Weeks
Data Collection: Online, Telephone and Face-to-face (Coursera) Coursera
University of Michigan

Data Collection: Online, Telephone and Face-to-face (Coursera)

This course presents research conducted to increase our understanding of how data collection decisions affect survey errors. This is not a “how–to-do-it” course on data collection, but instead reviews the literature on survey design decisions and data quality in order to sensitize learners to how alternative survey designs might impact the data obtained from those surveys.

Sep 21st 2026
4 Weeks
Six Sigma Tools for Improve and Control (Coursera) Coursera
University System of Georgia

Six Sigma Tools for Improve and Control (Coursera)

This course will provide you will the tools necessary to complete the final components of the analyze phase as well as the improve and control phases of the Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) process. This course is the final course in the Six Sigma Yellow Belt Specialization. You will learn about relationships from data using correlation and regression as well as the different hypothesis terms in hypothesis testing. This course will provide you with tools and techniques for improvement. You will also understand the importance of a control plan, as well as its key characteristics, for maintaining process improvements.

Sep 28th 2026
5-12 Weeks
Data Collection and Processing with Python (Coursera) Coursera
University of Michigan

Data Collection and Processing with Python (Coursera)

This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You'll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs. For the final project, you will construct a “tag recommender” for the flickr photo sharing site.

Sep 21st 2026
3 Weeks
Dealing With Missing Data (Coursera) Coursera
University of Maryland, College Park

Dealing With Missing Data (Coursera)

This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration. Among the techniques discussed are adjustments using estimated response propensities, poststratification, raking, and general regression estimation. Alternative techniques for imputing values for missing items will be discussed. For both weighting and imputation, the capabilities of different statistical software packages will be covered, including R®, Stata®, and SAS®.

Sep 21st 2026
4 Weeks
Research Methodologies (Coursera) Coursera
Queen Mary University of London

Research Methodologies (Coursera)

This course focuses on research methodologies. In this vein, the focus will be placed on qualitative and quantitative research methodologies, sampling approaches, and primary and secondary data collection. The course begins with a discussion on qualitative research approaches, looking at focus groups, personal interviews, ethnography, case studies and action research.

Sep 28th 2026
4 Weeks
Hypothesis-Driven Development (Coursera) Coursera
University of Virginia

Hypothesis-Driven Development (Coursera)

To deliver agile outcomes, you have to do more than implement agile processes- you have to create focus around what matters to your user and constantly test your ideas. This is easier said than done, but most of today’s high-functioning innovators have a strong culture of experimentation. In this course, you’ll learn how to identify the right questions at the right time, and pair them with the right methods to do just enough testing to make sure you minimize waste and maximize the outcomes you create with your user.

Sep 21st 2026
4 Weeks
Futures Thinking (Coursera) Coursera
Arizona State University

Futures Thinking (Coursera)

You can’t always know what’s coming, but you can imagine it. You have the ability to embrace new ideas and stay hopeful about the future. That’s what futures thinking is all about. By exiting your default frame and asking the right questions, you can start to imagine new scenarios and use those to inform your decisions. For anyone trying to think ahead and act strategically, this kind of thinking is a must.

Sep 28th 2026
5-12 Weeks
Muestreo de personas, redes y registros (Coursera) Coursera
University of Michigan

Muestreo de personas, redes y registros (Coursera)

Para hacer una buena recopilación de datos se necesitan buenas muestras. Pero las muestras pueden elegirse de muchas maneras. Pueden ser selecciones fortuitas o convenientes de personas, registros, redes u otras unidades, pero uno se cuestiona la calidad de tales muestras, especialmente cómo se relacionan estos métodos de selección con el hecho de sacar buenas conclusiones sobre una población tras la recopilación y el análisis de los datos. Las muestras pueden seleccionarse con más cuidado según el criterio del investigador, pero entonces uno se pregunta si ese criterio puede estar sesgado por factores personales.

Oct 12th 2026
5-12 Weeks