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Shalini Gopalkrishnan
In this 1-hour long project-based course, you will learn how to create path models using Smartpls. We will take a project on changing behavior and check if attitudes or subjective norms impact behavior the most.
Read more
In this 1-hour long project-based course, you will learn how to create path models using Smartpls. We will take a project on changing behavior and check if attitudes or subjective norms impact behavior the most.
Read more
In this 1-hour long project-based course, you will learn how to create path models using Smartpls. We will take a project on changing behavior and check if attitudes or subjective norms impact behavior the most.
We will learn how to launch this new software, create the model and run it. We will then show you how to interpret the same. We will also learn how to create models for different groups such as males and females and if there is a difference between them.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/ti7byf/modelling
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What's inside
Syllabus
Modelling with WARP PLS
This project will help you use WARPpls and create advanced path Models using this tool. These path models are useful in research, or industry to make decisions using data. In this project we will show you how job satisfaction and engagement impacts employee Turnover.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Useful for in-depth analysis and modeling for business students
Requires proficiency in WARP PLS software
Introduces significant data analysis concepts
Focuses specifically on path modeling in research
Taught by experts in data analysis
Provides hands-on experience with a commonly used WARP PLS software
Save this course
Save Modelling with WARP PLS 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 Modelling with WARP PLS with these
activities:
Review statistics fundamentals
Show steps
Refresh your knowledge of statistical concepts to build a strong foundation for this course.
Browse courses on
Statistics
Show steps
-
Review basic statistics concepts (e.g., mean, median, mode, standard deviation)
-
Revisit hypothesis testing and statistical inference
-
Brush up on regression analysis and correlation
Solve practice problems on regression models
Show steps
Enhance your understanding of regression models by solving practice problems.
Browse courses on
Regression Analysis
Show steps
-
Find practice problems on regression analysis (e.g., online resources, textbooks)
-
Attempt to solve problems independently
-
Check your answers and identify areas for improvement
Join a study group to discuss path modeling concepts
Show steps
Enhance your learning through peer collaboration and discussion.
Browse courses on
Path Modeling
Show steps
-
Find a study group or create your own
-
Meet regularly to discuss course material
-
Share insights and perspectives with each other
Six other activities
Expand to see all activities and additional details
Show all nine activities
Follow tutorials on advanced path modeling techniques
Show steps
Expand your knowledge and skills in path modeling by following guided tutorials.
Browse courses on
Path Modeling
Show steps
-
Identify online tutorials or courses on advanced path modeling techniques
-
Follow the tutorials step-by-step
-
Apply the techniques to practical examples
Develop a path model for a real-world scenario
Show steps
Apply your knowledge and skills to develop a path model for a topic that interests you.
Browse courses on
Path Modeling
Show steps
-
Identify a real-world problem or question that can be addressed using path modeling
-
Develop a conceptual model
-
Collect data
-
Estimate and interpret path model
Write a blog post explaining path modeling concepts
Show steps
Reinforce your understanding of path modeling by explaining it to others.
Browse courses on
Path Modeling
Show steps
-
Identify key concepts in path modeling
-
Develop a blog post outline
-
Write the blog post, ensuring clarity and accuracy
Create a presentation on the applications of path modeling
Show steps
Demonstrate your understanding by creating a presentation on the applications of path modeling.
Browse courses on
Path Modeling
Show steps
-
Identify different applications of path modeling
-
Develop a presentation outline
-
Create slides and prepare visual aids
Participate in a path modeling competition
Show steps
Challenge yourself and showcase your skills by participating in a path modeling competition.
Browse courses on
Path Modeling
Show steps
-
Identify and register for a suitable competition
-
Develop a strong path model
-
Submit your model and present it to judges
Contribute to an open-source path modeling project
Show steps
Gain practical experience and contribute to the path modeling community through open-source projects.
Browse courses on
Path Modeling
Show steps
-
Identify a suitable open-source project
-
Review the project's documentation and code
-
Identify a way to contribute
-
Make a pull request with your contribution
Review statistics fundamentals
Show steps
Refresh your knowledge of statistical concepts to build a strong foundation for this course.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review basic statistics concepts (e.g., mean, median, mode, standard deviation)
- Revisit hypothesis testing and statistical inference
- Brush up on regression analysis and correlation
Solve practice problems on regression models
Show steps
Enhance your understanding of regression models by solving practice problems.
Browse courses on
Regression Analysis
Show steps
Show steps
Show steps
- Find practice problems on regression analysis (e.g., online resources, textbooks)
- Attempt to solve problems independently
- Check your answers and identify areas for improvement
Join a study group to discuss path modeling concepts
Show steps
Enhance your learning through peer collaboration and discussion.
Browse courses on
Path Modeling
Show steps
Show steps
Show steps
- Find a study group or create your own
- Meet regularly to discuss course material
- Share insights and perspectives with each other
Six other activities
Expand to see all activities and additional details
Show all nine activities
Follow tutorials on advanced path modeling techniques
Show steps
Expand your knowledge and skills in path modeling by following guided tutorials.
Browse courses on
Path Modeling
Show steps
Show steps
Show steps
- Identify online tutorials or courses on advanced path modeling techniques
- Follow the tutorials step-by-step
- Apply the techniques to practical examples
Develop a path model for a real-world scenario
Show steps
Apply your knowledge and skills to develop a path model for a topic that interests you.
Browse courses on
Path Modeling
Show steps
Show steps
Show steps
- Identify a real-world problem or question that can be addressed using path modeling
- Develop a conceptual model
- Collect data
- Estimate and interpret path model
Write a blog post explaining path modeling concepts
Show steps
Reinforce your understanding of path modeling by explaining it to others.
Browse courses on
Path Modeling
Show steps
Show steps
Show steps
- Identify key concepts in path modeling
- Develop a blog post outline
- Write the blog post, ensuring clarity and accuracy
Create a presentation on the applications of path modeling
Show steps
Demonstrate your understanding by creating a presentation on the applications of path modeling.
Browse courses on
Path Modeling
Show steps
Show steps
Show steps
- Identify different applications of path modeling
- Develop a presentation outline
- Create slides and prepare visual aids
Participate in a path modeling competition
Show steps
Challenge yourself and showcase your skills by participating in a path modeling competition.
Browse courses on
Path Modeling
Show steps
Show steps
Show steps
- Identify and register for a suitable competition
- Develop a strong path model
- Submit your model and present it to judges
Contribute to an open-source path modeling project
Show steps
Gain practical experience and contribute to the path modeling community through open-source projects.
Browse courses on
Path Modeling
Show steps
Show steps
Show steps
- Identify a suitable open-source project
- Review the project's documentation and code
- Identify a way to contribute
- Make a pull request with your contribution
Career center
Learners who complete Modelling with WARP PLS will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A Data Analyst gathers, interprets, and presents data to help organizations make informed decisions. This course can help build a foundation for success in this role by teaching you how to use data to create models and analyze trends, which are essential skills for Data Analysts. This course will teach you how to use WARP PLS, statistical software commonly used by Data Analysts.
Business Analyst
Business Analyst
A Business Analyst helps organizations improve their performance by analyzing data and making recommendations for change. This course can help build a foundation for success in this role by teaching you how to use data to create models and analyze trends. You'll also learn about how to manage projects and communicate your findings, which are important skills for Business Analysts. Some Business Analyst positions require a master's degree, which you may consider pursuing after taking this course.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems and create new products and services. This course can help build a foundation for success in this role by teaching you how to use data to create models and analyze trends. You'll also learn about machine learning and artificial intelligence, which are important technologies for Data Scientists. This course will teach you how to use WARP PLS, statistical software commonly used by Data Scientists.
Marketing Analyst
Marketing Analyst
A Marketing Analyst helps organizations understand their customers and make better marketing decisions. This course can help build a foundation for success in this role by teaching you how to use data to create models and analyze trends. You'll also learn about marketing research and consumer behavior, which are important topics for Marketing Analysts.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical models to analyze financial data and make investment decisions. This course can help build a foundation for success in this role by teaching you how to use data to create models and analyze trends. You'll also learn about financial modeling and risk management, which are important topics for Quantitative Analysts.
Financial Analyst
Financial Analyst
A Financial Analyst helps businesses make informed financial decisions. This course can help build a foundation for success in this role by teaching you how to use data to create models and analyze trends. You'll also learn about financial reporting and valuation, which are important topics for Financial Analysts. Some Financial Analyst positions require a master's degree, which you may consider pursuing after taking this course.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical techniques to solve complex business problems. This course can help build a foundation for success in this role by teaching you how to use data to create models and analyze trends. You'll also learn about optimization, simulation, and decision analysis, which are important topics for Operations Research Analysts.
Market Research Analyst
Market Research Analyst
A Market Research Analyst studies market trends and consumer behavior to help businesses make better decisions. This course can help build a foundation for success in this role by teaching you how to use data to create models and analyze trends. You'll also learn about qualitative and quantitative research methods, which are important topics for Market Research Analysts.
Customer Insights Analyst
Customer Insights Analyst
A Customer Insights Analyst uses data to understand customer behavior and make better decisions about products and services. This course can help build a foundation for success in this role by teaching you how to use data to create models and analyze trends. You'll also learn about customer segmentation and persona development, which are important topics for Customer Insights Analysts.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful for aspiring Software Engineers because it will help you develop skills in data analysis and modeling, which are becoming increasingly important in software development. WARP PLS is sometimes used by Software Engineers to model and analyze data-intensive applications.
Product Manager
Product Manager
A Product Manager leads the development and launch of new products and services. This course may be useful for aspiring Product Managers because it will help you develop skills in data analysis and modeling, which are becoming increasingly important for Product Managers. WARP PLS is sometimes used by Product Managers to model and analyze product usage data.
Data Engineer
Data Engineer
A Data Engineer builds and maintains data pipelines and infrastructure. This course may be useful for aspiring Data Engineers because it will help you develop skills in data analysis and modeling, which are important for Data Engineers. WARP PLS is sometimes used by Data Engineers to model and analyze data pipelines.
Statistician
Statistician
A Statistician collects, analyzes, and interprets data to help organizations make informed decisions. This course can help build a foundation for success in this role by teaching you how to use data to create models and analyze trends. This course will teach you how to use WARP PLS, statistical software frequently used by academic and industry researchers.
Actuary
Actuary
An Actuary uses mathematical and statistical models to assess risk and uncertainty. This course may be useful for aspiring Actuaries because it will help you develop skills in data analysis and modeling, which are important for Actuaries. WARP PLS is sometimes used by Actuaries to model and analyze mortality and morbidity data.
Epidemiologist
Epidemiologist
An Epidemiologist studies the distribution and determinants of disease and other health-related events in populations. This course may be useful for aspiring Epidemiologists because it will help you develop skills in data analysis and modeling, which are important for Epidemiologists. WARP PLS is sometimes used by Epidemiologists to model and analyze disease outbreak data.
For more career information including salaries, visit:
OpenCourser.com/course/ti7byf/modelling
Reading list
We've selected nine 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
Modelling with WARP PLS.
Provides a comprehensive overview of mediation, moderation, and conditional process analysis. It valuable resource for researchers who want to learn more about these techniques.
Provides a clear and concise introduction to regression analysis. It valuable resource for students and researchers who want to learn more about this technique.
This textbook provides comprehensive coverage of longitudinal data analysis. It valuable resource for researchers who want to learn more about this technique.
Provides a comprehensive overview of multilevel modeling. It valuable resource for students and researchers who want to learn more about this technique.
Provides a broad overview of regression analysis, including both classical and Bayesian approaches. It valuable resource for students and researchers who want to learn more about this technique.
Save
Provides a concise overview of game theory. It valuable resource for researchers who want to learn more about this technique.
Provides a comprehensive overview of the econometrics of count data. It valuable resource for researchers who want to learn more about this technique.
Save
Covers the basics of econometrics, including topics such as regression analysis, time series analysis, and forecasting. It valuable resource for students and researchers who want to learn more about this topic.
Provides a comprehensive overview of econometric analysis of cross section and panel data. It valuable resource for researchers who want to learn more about this technique.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ti7byf/modelling
Share
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Effort
1 hour
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Shalini Gopalkrishnan
Language
English
Good to know
Useful for in-depth analysis and modeling for business students
Requires proficiency in WARP PLS software
Introduces significant data analysis concepts
Focuses specifically on path modeling in research
Taught by experts in data analysis
Provides hands-on experience with a commonly used WARP PLS software
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