Online Certificate in Applied Statistics using SAS

The Online Certificate in Applied Statistics using SAS® has been developed for working professionals who have a need for additional training in Statistics. This online program is an integrated extension of the highly respected traditional curriculum in Applied Statistics at Kennesaw State University (KSU). It provides much of the same instruction as our traditional courses — but with a more highly applied approach to course materials and exams — all of which are self-paced to fit your schedule.

KSU is the only university in the state of Georgia authorized by SAS® to issue a Certificate in Statistical Analysis Using SAS®. Once you complete this Certificate program, you will also be eligible to receive this prestigious recognition as part of our program.

To complete the certificate, you must pass five courses. These courses and their associated learning objectives are provided below. Please note that all work is completed using SAS® OnDemand for Academics.

    1. Understand and identify the different types of variables and the general format of a data table.
    2. Generate and interpret appropriate statistical graphics for different types of variables.
    3. Summarize data with descriptive statistics and frequency & contingency tables.
    4. Manage Large Datasets.
    5. Extract datasets.
    6. Utilize SQL and Enterprise Guide.
    7. Apply concepts to a specified dataset.
    1. Develop Confidence Intervals for Parameters.
    2. Develop Confidence Intervals for Proportions.
    3. Determine an appropriate sample size to achieve a desired margin of error.
    4. Develop a hypothesis testing matrix.
    5. Understand the implications of Type 1 and Type 2 errors.
    6. Identify when and how to correctly execute a Hypothesis test:
        • One Sample Proportion (z-test)
        • Two Sample Proportion (z-test)
        • One Sample Parameter (t-test)
        • Two Sample Parameter (t-test)
        • Paired Sample Parameter (t-test)
    7. Apply the concepts to a specified dataset.
    1. Identify when and how to correctly perform one-way ANOVA.
    2. Select an appropriate Post-Hoc test for significance.
    3. Correctly test for normality and execute transformations where needed.
    4. Understand, calculate and interpret Power calculations.
    5. Identify when and how to correctly utilize Non-Parametric Methods, including:
        • Wilcoxon Rank Sum/Mann Whitney
        • Wilcoxon Signed Rank
        • Kruskal Wallis
    6. Execute a basic regression model.
    7. Identify when and how to correctly execute a Chi-Square test.
    8. Apply the concepts to a specified dataset.
    1. Understand the simple linear regression model, the usage and the assumption.
    2. Understand the method of least squares, know the least square estimate (LSE) and the properties of the fitted line.
    3. Know the relationship between LSE and MLE under Normal model.
    4. Know how to make and interpret inferences/predictions in Simple Regression.
    5. Understand the difference between Correlation Model and regression model.
    6. Apply graphic methods as well as formal statistical tests for studying the appropriateness of a model.
    7. Understand the need for joint estimation and simultaneous inferences.
    8. Be aware of the additional remedial measures to deal with unequal error variances, a high degree of multicollinearity, and influential observations.
    9. Apply the concepts to a specified dataset.
    1. Introduction to categorical data analysis:
        • Obtain and interpret relative risk, odds-ratios, and confidence intervals for odds-ratios.
    2. Binary Logit Models I:
        • Fit and interpret a simple logistic regression model.
        • Assess model fitness & classification rates.
    3. Binary Logit Models II:
        • Fit and interpret a multiple logistic regression model.
        • Assess model fitness & classification rates.
        • Perform model diagnostics & selection.
    4. Generalized Logit Models:
        • Fit and interpret the model.
        • Assess model fitness & classification rates.
        • Perform model diagnostics & selection.
    5. Cumulative Logit Models (The Proportional Odds Model):
        • Fit and interpret the model.
        • Assess model fitness & classification rates.
        • Perform model diagnostics & selection.
    6. Evaluate multivariate normality and propose appropriate data transformations if needed.
    7. Perform a Descriptive Discriminant Analysis and summarize the results.

FAQ

  • The Online Certificate in Applied Statistics has been developed for working professionals who have some previous exposure to basic statistics. Applicants are encouraged to have completed at least one course in College Algebra or higher.
  • If you choose to enroll in the full Certificate program, the cost is $5,000 or $1,000 per course. After payment is received, you will receive access to all course material. If you choose to enroll in an individual course, the cost is $1,500 per course.
  • The Online Certificate Program has been developed for working professionals. You should have some basic understanding of Statistics/Data Analysis and some working knowledge of SAS® to get the most out of the Program. If you have never used SAS® and/or have no previous training in Statistics, but are interested in the program, please contact Program Coordinator, Michael Frankel.
  • Yes. Once you have enrolled in the Online Certificate Program, or in an individual course, you will be provided with remote access to Base SAS® version 9.4, which you can access from your home or any location with an internet connection. You will have access as long as you are enrolled in the course or in the Program.
  • Once enrolled in a course, you will receive access to all of the course materials – including video recordings, audio recordings, printed materials, practice data and self-assessment tests. After you have completed the lectures and the assessments in a course and are confident in your knowledge of the materials, you can arrange to take a proctored exam at KSU (if you do not live within a reasonable distance of the university, alternative arrangements will be made for you to complete a proctored exam locally). Once all of the materials have been completed, you will take a cumulative exam over the material from all five courses. After you complete this final exam, you will earn two Certificates – the Certificate in Applied Statistics from Kennesaw State University (KSU) and the Certificate in Data Analysis Using SAS® from the SAS® Institute and from KSU.
  • The materials have been developed such that students should be able to learn, understand and apply the concepts with limited faculty assistance. However, the KSU Statistics faculty are available, on campus, to meet and discuss material if needed. To arrange a meeting with KSU faculty, please contact Program Coordinator, Michael Frankel.
  • No. The courses in the online certificate program have been developed specifically to meet the needs of working professionals. The material is highly applied and contains a minimal amount of mathematical theory. The courses cannot be substituted for statistics courses in the Master of Science in Applied Statistics (MSAS) or the undergraduate program.
  • To start the enrollment process, please contact Program Coordinator, Michael Frankel.
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