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CareerCatalyst
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.
Read more
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.
Read more
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.
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!
Register for this course and see more details by visiting:
OpenCourser.com/course/2e7la9/information
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What's inside
Syllabus
Welcome to Information Gathering and Vetting!
Collecting data with a hypothesis
Getting the most of data you collect
Read more
Syllabus
Welcome to Information Gathering and Vetting!
Collecting data with a hypothesis
Getting the most of data you collect
Read more
Sharing new insights from data
Course Conclusion
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds a strong foundation for beginners who need to gather, vet, and share information in any capacity
Develops core skills for understanding information gathering and vetting that are useful for personal growth and development
Introduces essential tools and knowledge for performing high-quality information gathering and vetting
Taught by an expert in the field, Dr. Timiebi Aganaba from the ASU School for the Future of Innovation in Society
Hands-on scenarios allow learners to immediately apply their new knowledge
Learners must test data against assumptions, which is a critical skill in today's information-rich environment
Save this course
Save Information Gathering and Vetting to your list so you can find it easily later:
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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 Information Gathering and Vetting with these
activities:
Review basic statistics concepts
Show steps
Statistics is essential for data analysis and vetting. Reviewing basic concepts will give you a stronger foundation.
Browse courses on
Statistics
Show steps
-
Review your notes from previous statistics courses or textbooks.
-
Take practice quizzes or tests to assess your understanding.
-
Consider enrolling in a refresher course or workshop.
Review hypothesis testing resources
Show steps
Reviewing different resources on hypothesis testing will give you a solid foundation before beginning this course.
Browse courses on
Hypothesis Testing
Show steps
-
View this tutorial on why and when to use hypothesis testing: https://www.statisticshowto.com/why-and-when-to-use-hypothesis-testing/
-
Follow along with this quick video on how to perform hypothesis testing in R: https://www.youtube.com/watch?v=LddM_b26iQw
Review lecture notes and readings before each class
Show steps
Reviewing course materials before each class will help you stay engaged and improve comprehension.
Browse courses on
Preparation
Show steps
-
Read through the lecture notes and assigned readings.
-
Take notes or highlight important concepts.
-
Try to identify any questions or areas that you need clarification on.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Read 'Data Science for Business' by Foster Provost and Tom Fawcett
Show steps
This book provides a comprehensive overview of data science techniques and their applications in business settings.
View
Data Science for Business: What You Need to...
on Amazon
Show steps
-
Read the book and take notes on key concepts.
-
Complete the exercises and case studies at the end of each chapter.
-
Discuss the book with classmates or colleagues.
Practice data collection techniques
Show steps
To become proficient in the scientific method, it is important to practice data collection techniques.
Browse courses on
Data Collection
Show steps
-
Try to identify potential research questions and hypotheses that can be tested through data collection.
-
Practice using different methods of data collection, such as using questionnaires, conducting surveys, or running experiments.
-
Analyze your data and draw conclusions, considering possible biases and limitations.
Design a data collection and vetting plan
Show steps
Creating a data collection and vetting plan will help you develop a structured approach to your research.
Browse courses on
Data Collection
Show steps
-
Determine the research question and hypothesis.
-
Identify the type of data needed and the methods that will be used to collect it.
-
Create a plan for vetting the data and ensuring its accuracy and reliability.
-
Document the plan in a written document.
Attend an industry conference or workshop
Show steps
Attending industry events will allow you to connect with professionals in the field and learn about current trends.
Browse courses on
Networking
Show steps
-
Research industry conferences or workshops related to data science or research methods.
-
Register for the event and prepare a short introduction to yourself and your interests.
-
Attend the event, participate in discussions, and network with other attendees.
Create a data visualization to represent your findings
Show steps
Creating a data visualization will help you communicate your findings in a clear and concise manner.
Browse courses on
Data Visualization
Show steps
-
Choose a data visualization tool, such as Tableau or Power BI.
-
Import your data and explore different visualization options.
-
Design a visualization that effectively conveys your message.
-
Present your visualization to your classmates or colleagues and get feedback.
Review basic statistics concepts
Show steps
Statistics is essential for data analysis and vetting. Reviewing basic concepts will give you a stronger foundation.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review your notes from previous statistics courses or textbooks.
- Take practice quizzes or tests to assess your understanding.
- Consider enrolling in a refresher course or workshop.
Review hypothesis testing resources
Show steps
Reviewing different resources on hypothesis testing will give you a solid foundation before beginning this course.
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- View this tutorial on why and when to use hypothesis testing: https://www.statisticshowto.com/why-and-when-to-use-hypothesis-testing/
- Follow along with this quick video on how to perform hypothesis testing in R: https://www.youtube.com/watch?v=LddM_b26iQw
Review lecture notes and readings before each class
Show steps
Reviewing course materials before each class will help you stay engaged and improve comprehension.
Browse courses on
Preparation
Show steps
Show steps
Show steps
- Read through the lecture notes and assigned readings.
- Take notes or highlight important concepts.
- Try to identify any questions or areas that you need clarification on.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Read 'Data Science for Business' by Foster Provost and Tom Fawcett
Show steps
This book provides a comprehensive overview of data science techniques and their applications in business settings.
View
Data Science for Business: What You Need to...
on Amazon
Show steps
Show steps
Show steps
- Read the book and take notes on key concepts.
- Complete the exercises and case studies at the end of each chapter.
- Discuss the book with classmates or colleagues.
Practice data collection techniques
Show steps
To become proficient in the scientific method, it is important to practice data collection techniques.
Browse courses on
Data Collection
Show steps
Show steps
Show steps
- Try to identify potential research questions and hypotheses that can be tested through data collection.
- Practice using different methods of data collection, such as using questionnaires, conducting surveys, or running experiments.
- Analyze your data and draw conclusions, considering possible biases and limitations.
Design a data collection and vetting plan
Show steps
Creating a data collection and vetting plan will help you develop a structured approach to your research.
Browse courses on
Data Collection
Show steps
Show steps
Show steps
- Determine the research question and hypothesis.
- Identify the type of data needed and the methods that will be used to collect it.
- Create a plan for vetting the data and ensuring its accuracy and reliability.
- Document the plan in a written document.
Attend an industry conference or workshop
Show steps
Attending industry events will allow you to connect with professionals in the field and learn about current trends.
Browse courses on
Networking
Show steps
Show steps
Show steps
- Research industry conferences or workshops related to data science or research methods.
- Register for the event and prepare a short introduction to yourself and your interests.
- Attend the event, participate in discussions, and network with other attendees.
Create a data visualization to represent your findings
Show steps
Creating a data visualization will help you communicate your findings in a clear and concise manner.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a data visualization tool, such as Tableau or Power BI.
- Import your data and explore different visualization options.
- Design a visualization that effectively conveys your message.
- Present your visualization to your classmates or colleagues and get feedback.
Career center
Learners who complete Information Gathering and Vetting will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use their skills in data analysis to solve complex business problems. They use data to build models, predict outcomes, and make recommendations to businesses. The Information Gathering and Vetting course can help Data Scientists by providing them with the skills and knowledge they need to collect and analyze data, and to draw insights from their research. The course can also help Data Scientists learn how to effectively communicate their findings to businesses.
Statistician
Statistician
Statisticians use their skills in data analysis to help businesses understand their customers, their competition, and their industry. They use data to identify trends, patterns, and insights in data. The Information Gathering and Vetting course can help Statisticians by providing them with the skills and knowledge they need to collect and analyze data, and to draw insights from their research. The course can also help Statisticians learn how to effectively communicate their findings to businesses.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. They use their skills in data analysis to identify trends, patterns, and insights in data. The Information Gathering and Vetting course can help Data Analysts by providing them with the skills and knowledge they need to collect and analyze data, and to draw insights from their research. The course can also help Data Analysts learn how to effectively communicate their findings to businesses.
Financial Analyst
Financial Analyst
Financial Analysts use their skills in data analysis to help businesses make investment decisions. They use data to identify trends, patterns, and insights in financial data. The Information Gathering and Vetting course can help Financial Analysts by providing them with the skills and knowledge they need to collect and analyze data, and to draw insights from their research. The course can also help Financial Analysts learn how to effectively communicate their findings to businesses.
Risk Analyst
Risk Analyst
Risk Analysts use their skills in data analysis to help businesses identify and manage risks. They use data to identify trends, patterns, and insights in financial data. The Information Gathering and Vetting course can help Risk Analysts by providing them with the skills and knowledge they need to collect and analyze data, and to draw insights from their research. The course can also help Risk Analysts learn how to effectively communicate their findings to businesses.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They use their skills in data analysis to understand their customers, their competition, and their industry. The Information Gathering and Vetting course can help Product Managers by providing them with the skills and knowledge they need to collect and analyze data, and to draw insights from their research. The course can also help Product Managers learn how to effectively communicate their findings to businesses.
Consultant
Consultant
Consultants use their skills in data analysis to help businesses solve problems and improve their performance. They use data to identify trends, patterns, and insights, and make recommendations to businesses on how to improve their operations. The Information Gathering and Vetting course can help Consultants by providing them with the skills and knowledge they need to collect and analyze data, and to draw insights from their research. The course can also help Consultants learn how to effectively communicate their findings to businesses.
Actuary
Actuary
Actuaries use their skills in data analysis to help businesses assess and manage financial risks. They use data to identify trends, patterns, and insights in financial data. The Information Gathering and Vetting course can help Actuaries by providing them with the skills and knowledge they need to collect and analyze data, and to draw insights from their research. The course can also help Actuaries learn how to effectively communicate their findings to businesses.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses understand their customers, their competition, and their industry. They use their skills in data analysis to identify trends, patterns, and insights in data. The Information Gathering and Vetting course can help Business Intelligence Analysts by providing them with the skills and knowledge they need to collect and analyze data, and to draw insights from their research. The course can also help Business Intelligence Analysts learn how to effectively communicate their findings to businesses.
Investment Banker
Investment Banker
Investment Bankers use their skills in data analysis to help businesses raise capital. They use data to identify trends, patterns, and insights in financial data. The Information Gathering and Vetting course can help Investment Bankers by providing them with the skills and knowledge they need to collect and analyze data, and to draw insights from their research. The course can also help Investment Bankers learn how to effectively communicate their findings to businesses.
Epidemiologist
Epidemiologist
Epidemiologists use their skills in data analysis to help understand and control the spread of diseases. They use data to identify trends, patterns, and insights in data. The Information Gathering and Vetting course can help Epidemiologists by providing them with the skills and knowledge they need to collect and analyze data, and to draw insights from their research. The course can also help Epidemiologists learn how to effectively communicate their findings to businesses.
Market Research Analyst
Market Research Analyst
Market Research Analysts conduct research on consumer markets for a variety of products and services. They analyze data to identify trends and patterns, and make recommendations to businesses on how to improve their marketing strategies. The Information Gathering and Vetting course can help Market Research Analysts by providing them with the skills and knowledge they need to collect and analyze data, and to draw insights from their research. The course can also help Market Research Analysts learn how to effectively communicate their findings to businesses.
UX Researcher
UX Researcher
UX Researchers use their skills in data analysis to help businesses understand their customers, their competition, and their industry. They use data to identify trends, patterns, and insights in data. The Information Gathering and Vetting course can help UX Researchers by providing them with the skills and knowledge they need to collect and analyze data, and to draw insights from their research. The course can also help UX Researchers learn how to effectively communicate their findings to businesses.
Survey Researcher
Survey Researcher
Survey Researchers use their skills in data analysis to help businesses understand their customers, their competition, and their industry. They use data to identify trends, patterns, and insights in data. The Information Gathering and Vetting course can help Survey Researchers by providing them with the skills and knowledge they need to collect and analyze data, and to draw insights from their research. The course can also help Survey Researchers learn how to effectively communicate their findings to businesses.
Data Journalist
Data Journalist
Data Journalists use their skills in data analysis to help businesses understand their customers, their competition, and their industry. They use data to identify trends, patterns, and insights in data. The Information Gathering and Vetting course can help Data Journalists by providing them with the skills and knowledge they need to collect and analyze data, and to draw insights from their research. The course can also help Data Journalists learn how to effectively communicate their findings to businesses.
For more career information including salaries, visit:
OpenCourser.com/course/2e7la9/information
Reading list
We've selected 12 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
Information Gathering and Vetting.
This classic textbook provides a comprehensive overview of research design, covering both qualitative and quantitative methods. It is an excellent resource for students who want to learn more about the fundamentals of research.
Provides a practical guide to gathering, analyzing, and presenting data. It valuable resource for students who want to learn how to conduct effective research.
Provides a comprehensive overview of the information age. It is an excellent resource for students who want to learn more about the impact of information on society and culture.
Provides a sociological perspective on the construction of reality. It valuable resource for students who want to learn more about how information is shaped by social forces.
Save
Provides a futurist's perspective on the importance of information. It thought-provoking read for students who want to learn more about the role of information in the future.
Provides a historical perspective on the information revolution. It valuable resource for students who want to learn more about the origins of the information age.
Provides a speculative look at the future of information. It fascinating read for students who want to learn more about the potential impact of information on society and culture.
Save
Provides a comprehensive overview of the social impact of information and communication technologies. It valuable resource for students who want to learn more about the role of information in society.
Provides a philosophical perspective on the relationship between information and society. It valuable resource for students who want to learn more about the nature of information and its impact on society.
Save
Provides a sociological perspective on the information society. It valuable resource for students who want to learn more about the social and economic implications of the information age.
Provides a sociological perspective on the network society. It valuable resource for students who want to learn more about the social and economic implications of the internet.
Save
Provides a comprehensive overview of the digital divide. It valuable resource for students who want to learn more about the social and economic implications of the digital age.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/2e7la9/information
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Via
Coursera
Institution
Arizona State University
Instructor
CareerCatalyst
Language
English
This course belongs to a
collection
called
Strategic Thinking for Everyone. It's comprised of four courses:
- Futures Thinking
- Perspective-Taking
- Information Gathering and Vetting (viewing)
- Strategic Thinking
Good to know
Builds a strong foundation for beginners who need to gather, vet, and share information in any capacity
Develops core skills for understanding information gathering and vetting that are useful for personal growth and development
Introduces essential tools and knowledge for performing high-quality information gathering and vetting
Taught by an expert in the field, Dr. Timiebi Aganaba from the ASU School for the Future of Innovation in Society
Hands-on scenarios allow learners to immediately apply their new knowledge
Learners must test data against assumptions, which is a critical skill in today's information-rich environment
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