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Course Description

In order to uncover insights in data, it is important to draw conclusions about the population that is being studied using numerical measures. In this course, you will identify various numerical measures including percentiles, range, variance, and standard deviation. You will then see how to visualize and draw conclusions on quantitative or qualitative variables. This course uses tables and charts to compare combinations of variables, identify the means of finding relationships between variables, and teaches you to interpret results and make predictions between variables.

You are required to have completed the following course or have equivalent experience before taking this course:

  • Presenting Quantitative Data

Faculty Author

Cindy van Es

Benefits to the Learner

  • Identify numerical measures such as percentiles, range, variance, and standard deviation
  • Discover additional tools available to describe data, as well as means of visualizing numerical measures
  • Use numerical measures in your own practice
  • Examine how to use tables and charts to compare combinations of variables, both qualitative and quantitative
  • Practice creating these visual comparisons on your own
  • Review guidelines for effectively communicating your findings, and then create research questions that can be answered visually
  • Identify the means of finding relationships between variables, and then practice calculating this relationship yourself
  • Analyze some issues you may encounter in interpreting your results
  • Predict the value of one variable based on another’s value, and then make predictions between dependent and independent variables

Target Audience

  • Entry level to executive professionals looking to uncover insights from data
  • Students who are pre-MBA or considering earning an MBA
  • Individuals interested in moving into an analyst role
  • Individuals seeking to leverage statistical or analytic skills
  • New, emerging, and experienced leaders
  • Consultants
  • Analysts and researchers
  • Entrepreneurs

Accrediting Associations

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in
Type
2 week
Dates
May 15, 2024 to May 28, 2024
Total Number of Hours
10.0
Course Fee(s)
Standard Price $1,380.00
Section Notes

IMPORTANT COURSE INFORMATION

  • Experience creating basic Excel functions and charts is needed to successfully complete this certificate. Familiarity with Excel PivotTables is useful, but not required.
  • This course includes a year of free access to Symposium! These events feature various live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore today’s most pressing data science topics. Throughout the year, you may participate in as many sessions as you wish. Attending a Symposium is not required to successfully complete the certificate program.

 

Type
2 week
Dates
Aug 07, 2024 to Aug 20, 2024
Total Number of Hours
10.0
Course Fee(s)
Standard Price $1,380.00
Section Notes

IMPORTANT COURSE INFORMATION

  • Experience creating basic Excel functions and charts is needed to successfully complete this certificate. Familiarity with Excel PivotTables is useful, but not required.
  • This course includes a year of free access to Symposium! These events feature various live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore today’s most pressing data science topics. Throughout the year, you may participate in as many sessions as you wish. Attending a Symposium is not required to successfully complete the certificate program.

 

Type
2 week
Dates
Oct 30, 2024 to Nov 12, 2024
Total Number of Hours
10.0
Course Fee(s)
Standard Price $1,380.00
Section Notes

IMPORTANT COURSE INFORMATION

  • Experience creating basic Excel functions and charts is needed to successfully complete this certificate. Familiarity with Excel PivotTables is useful, but not required.
  • This course includes a year of free access to Symposium! These events feature various live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore today’s most pressing data science topics. Throughout the year, you may participate in as many sessions as you wish. Attending a Symposium is not required to successfully complete the certificate program.

 

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