This course is part of the SAS Statistical Business Analyst Professional Certificate

4.6
stars
80 ratings

Jordan Bakerman

9,691 already enrolled

Offered By

SAS Statistical Business Analyst Professional CertificateSAS

About this Course

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This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.

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Shareable Certificate

Earn a Certificate upon completion

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Course 1 of 3 in the

SAS Statistical Business Analyst Professional Certificate

Intermediate Level

Approx. 10 hours to complete

English

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Skills you will gain

Multivariate Time Series Analysis
Multivariate Analysis
Multivariate Statistics
Predictive Modelling

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 1 of 3 in the

SAS Statistical Business Analyst Professional Certificate

Intermediate Level

Approx. 10 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.75/5 (31 Ratings)

Jordan Bakerman

Analytical Training Consultant

Education

42,108 Learners

4 Courses

Offered by

SAS

Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.

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Syllabus - What you will learn from this course

Week1

Week 1

1 hour to complete

Course Overview and Data Setup

1 hour to complete

2 videos (Total 13 min), 5 readings

3 hours to complete

Introduction and Review of Concepts

In this module you learn about the models required to analyze different types of data and the difference between explanatory vs predictive modeling. Then you review fundamental statistical concepts, such as the sampling distribution of a mean, hypothesis testing, p-values, and confidence intervals. After reviewing these concepts, you apply one-sample and two-sample t tests to data to confirm or reject preconceived hypotheses.

3 hours to complete

17 videos (Total 41 min), 2 readings, 9 quizzes

17 videos

Overview1mStatistical Modeling: Types of Variables1mOverview of Models3mExplanatory versus Predictive Modeling1mPopulation Parameters and Sample Statistics1mNormal (Gaussian) Distribution2mStandard Error of the Mean51sConfidence Intervals2mStatistical Hypothesis Test4mp-Value: Effect Size and Sample Size Influence3mScenario48sPerforming a t Test4mDemo: Performing a One-Sample t Test Using PROC TTEST3mScenario1mAssumptions for the Two-Sample t Test2mTesting for Equal and Unequal Variances2mDemo: Performing a Two-Sample t Test Using PROC TTEST4m

2 readings

Parameters and Statistics10mNormal Distribution10m

9 practice exercises

Question 1.015mQuestion 1.025mQuestion 1.035mQuestion 1.045mQuestion 1.055mPractice - Using PROC TTEST to Perform a One-Sample t Test20mQuestion 1.065mPractice - Using PROC TTEST to Compare Groups20mIntroduction and Review of Concepts30m

Week2

Week 2

4 hours to complete

ANOVA and Regression

In this module you learn to use graphical tools that can help determine which predictors are likely or unlikely to be useful. Then you learn to augment these graphical explorations with correlation analyses that describe linear relationships between potential predictors and our response variable. After you determine potential predictors, tools like ANOVA and regression help you assess the quality of the relationship between the response and predictors.

4 hours to complete

29 videos (Total 70 min), 2 readings, 14 quizzes

29 videos

Overview1mScenario58sIdentifying Associations in ANOVA with Box Plots1mDemo: Exploring Associations Using PROC SGPLOT1mIdentifying Associations in Linear Regression with Scatter Plots1mDemo: Exploring Associations Using PROC SGSCATTER2mScenario56sThe ANOVA Hypothesis1mPartitioning Variability in ANOVA2mCoefficient of Determination1mF Statistic and Critical Values1mThe ANOVA Model2mDemo: Performing a One-Way ANOVA Using PROC GLM6mScenario49sMultiple Comparison Methods2mTukey's and Dunnett's Multiple Comparison Methods1mDiffograms and Control Plots1mDemo: Performing a Post Hoc Pairwise Comparison Using PROC GLM6mScenario53sUsing Correlation to Measure Relationships between Continuous Variables1mHypothesis Testing for a Correlation1mAvoiding Common Errors When Interpreting Correlations5mDemo: Producing Correlation Statistics and Scatter Plots Using PROC CORR6mScenario45sThe Simple Linear Regression Model1mHow SAS Performs Simple Linear Regression1mComparing the Regression Model to a Baseline Model2mHypothesis Testing and Assumptions for Linear Regression1mDemo: Performing Simple Linear Regression Using PROC REG7m

2 readings

What Does a CLASS Statement Do?10mCorrelation Analysis and Model Building10m

14 practice exercises

Question 2.015mQuestion 2.025mQuestion 2.035mQuestion 2.045mPractice - Performing a One-Way ANOVA20mQuestion 2.055mQuestion 2.065mPractice - Using PROC GLM to Perform Post Hoc Parwise Comparisons20mQuestion 2.075mQuestion 2.085mPractice - Describing the Relationship between Continuous Variables20mQuestion 2.095mPractice - Using PROC REG to Fit a Simple Linear Regression Model20mANOVA and Regression30m

Week3

Week 3

2 hours to complete

More Complex Linear Models

2 hours to complete

13 videos (Total 43 min), 1 reading, 5 quizzes

13 videos

Overview1mScenario1mApplying the Two-Way ANOVA Model3mDemo: Performing a Two-Way ANOVA Using PROC GLM7mInteractions3mDemo: Performing a Two-Way ANOVA With an Interaction Using PROC GLM5mDemo: Performing Post-Processing Analysis Using PROC PLM4mScenario44sThe Multiple Linear Regression Model2mHypothesis Testing for Multiple Regression1mMultiple Linear Regression versus Simple Linear Regression2mAdjusted R-Square1mDemo: Fitting a Multiple Linear Regression Model Using PROC REG7m

1 reading

The STORE Statement10m

5 practice exercises

Question 3.015mPractice - Performing a Two-Way ANOVA Using PROC GLM20mQuestion 3.025mPractice - Performing Multiple Regression Using PROC REG20mMore Complex Linear Models30m

Reviews

4.6

17 reviews

5 stars
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3 stars
2.46%
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1 star
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TOP REVIEWS FROM INTRODUCTION TO STATISTICAL ANALYSIS: HYPOTHESIS TESTING

by WTSep 21, 2021

Wish there was a textbook or slides to accompany. Great class otherwise.

by HFApr 28, 2022

Well Done Everything. Practices need to be clarified more because somebody know Statistics with less SAS and reversely some learners know SAS but less Statistics.

by TMJun 28, 2021

Thoroughly enjoyed this course. In depth explanation of hypothesis testing, ANOVA and Regression, explained very clearly using SAS.

by RMJun 14, 2021

Thank you so much to the instructor, Jordan Bakerman for teaching this course.

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About the SAS Statistical Business Analyst Professional Certificate

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Introduction to Statistical Analysis: Hypothesis Testing

About this Course

Skills you will gain