Data Close-out Course: Learn How to do Data Close-out Online!

Data close-out course available in the DPS learning center is long and comprehensive, so I call it a “boot camp”. This data-close out course will teach you what you need to know to plan a data close-out.

Data close-out course available in the DPS learning center is long and comprehensive, so I call it a “boot camp”. This data-close out course will teach you what you need to know to plan a data close-out.

Data Close-out Course Information

 

Choose different data science learning modules.

48 lessons

Case studies in data science can teach you a lot about management.

3 hours of video content

You can always learn how to program from online data science courses in R, Python, or SAS.

9-10 hours of course activities with quizzes

7 case studies

5 challenges and solutions

There are many bivariate tests available in statistics, such as chi-square, correlation, and t-tests.

Cost: $500.00

Here is what the course covers:

This is the first step to the data science project

Chapter 1: Introduction to Data Close-out Course

This chapter explains the course and presents the learning objectives for each chapter.

Second step in a data science project

Chapter 2: What is “Data Close-out”?

This chapter explains what “data close-out” is, and the differences between closing a research dataset compared to a production dataset. It includes a case study on a botched data close-out, and a challenge for the learner to make their own data close-out plan.

Third step in a data science project

Chapter 3: Preparing for Data Close-out

This chapter describes how to work with an interdisciplinary team when closing out datasets. It includes advice on writing requirements for analytic datasets, a case study on the Vioxx scandal, and a challenge for the learner to practice preparing for data close-out.

Fourth step in a data science learning path

Chapter 4: Closing out Variables

This chapter helps the learner design variables to serve up to users as part of data close-out. It provides case studies on several data close-out failures, and a data close-out challenge for the learner to solve.

Fancy number five colorful inside a circle with border data SAS programming code

Chapter 5: Closing out Tables

This chapter helps the learner decide what tables to serve up to users, and includes a case study on HCUP’s web site. It includes a challenge for the learner to serve up data tables as part of their close-out strategy.

Fancy number six colorful inside a circle with border data SAS programming code

Chapter 6: “Warehouse”-style Visualizations

This chapter includes two case studies of warehouse-style visualizations, and includes a designing visualizations challenge.

Fancy number seven colorful inside a circle with border data SAS programming code

Chapter 7: Conclusion

The course concludes with an end-of-course survey and recommended resources.

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Data close-out course is what you need if you want to combine data from multiple sources and serve it to users. Learn how with our online boot camp!

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