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We're here to help you find itAnalyze data using ANOVA, build predictive models with logistic regression, and measure model performance using SAS/STAT. Koenig delivers hands-on labs and real-world projects with certified trainers, preparing learners for the SAS Statistical Business Analysis certification.
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Explore Statistical Analysis certification and training courses — delivered live by certified instructors.
Statistical Analysis is a field of data science focused on collecting, analyzing, interpreting, and presenting data to uncover patterns, test hypotheses, and support decision-making. It is supported by software platforms such as IBM SPSS Statistics, SAS/STAT, and TIBCO Statistica, which provide structured methodologies for transforming raw data into actionable insights. Within these vendors' ecosystems, Statistical Analysis serves as a foundational layer for advanced analytics, predictive modeling, and research-driven inquiry. Core components include Descriptive Statistics for summarizing data, Inferential Statistics such as hypothesis testing and confidence intervals for drawing conclusions, Regression Analysis to model relationships between variables, and ANOVA for comparing group means. Specialized modules like Bayesian Analysis, Cluster Analysis, Survival Analysis, and Categorical Data Analysis enable domain-specific applications in healthcare, market research, and social sciences. Tools such as Predictive Modeling and Multivariate Analysis extend capabilities into forecasting and high-dimensional data exploration. Statistical Analysis is for data analysts, researchers, and quantitative professionals who require rigorous methods to validate findings and make evidence-based decisions. It benefits those working in academia, government, healthcare, and business analytics by providing standardized, reproducible techniques to analyze data accurately and communicate results with statistical validity.
Descriptive Statistics
Calculate mean, median, variance and standard deviation for data sets
Probability Distributions
Identify and apply normal, binomial and Poisson distribution properties
Data Visualization
Construct and interpret histograms, box plots and scatterplots
R Programming
Import data, perform analyses and generate plots using R
Linear Algebra
Apply matrix operations and vector concepts in statistical contexts
Python Basics
Use Python with NumPy for data manipulation and computation
The building blocks every Statistical Analysis solution is made of
See what your official Statistical Analysis certification looks like. Download a sample — then let our advisors map the fastest path to earning the real one.
A00-480SAS Certified Associate: Applied Statistics for Machine Learning
A00-240SAS Certified Specialist: Statistical Business Analyst Using SAS 9
A00-405SAS Certified Professional: SAS Viya Programming
A00-470SAS Certified Specialist: SAS Viya Machine Learning
A00-475SAS Certified Specialist: SAS Viya Forecasting and Optimization
A00-485SAS Certified Specialist: SAS Viya ModelOps
Official credential badges — shareable on LinkedIn
Four formats. One quality standard. Every option comes with the same expert instructors, official courseware, and money-back guarantee.
Every factor that determines whether you actually pass your Statistical Analysis exam — rated across every training format available.
| Criteria | Koenig | Free Platform | Self-Paced Platform | ALP Provider | Legacy Provider | Note |
|---|---|---|---|---|---|---|
| Trainer Expertise & Certification | ||||||
| MCT-Certified Trainers | — | |||||
| Live Instructor-Led Delivery | — | |||||
| 1-on-1 Private Training | — | |||||
| IBM Authorization Standards | ||||||
| Official IBM ALP Status | — | |||||
| Official IBM Courseware | Partial | Partial | — | |||
| Partner Plus Proficiency Credits | — | |||||
| Flexibility & Global Access | ||||||
| Any-Day/Flexi Start | — | |||||
| On-Site or Fly-Me-A-Trainer | — | |||||
| Global Delivery Reach | Partial | — | ||||
| Value & Trust Metrics | ||||||
| Certification Alignment | IBM Certified Specialist | IBM Certified Specialist | Aligned with current IBM certification paths | |||
| Entry Price: Fundamentals Course | ~$745 · best value | Free | $15-30/mo | ~$1,500+ | ~$1,600+ | — |
| Verified Learner Reviews | 18,400+ · 4.9★ | N/A | N/A | Limited | Limited | — |
Data sourced from public pricing pages and review platforms. Accurate as of March 2026. Partial = available in select regions only.
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