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SAS Programming - Learn SAS from Beginner to Advanced

Topics: SAS for Data Import, Transformation, Analysis, and Modeling. SAS Macro.

Course catalog

SAS Programming - Learn SAS from Beginner to Advanced

InstructorAlan Ye

Duration8h 16m

Students10.6K

Rating4.5 (1,517)

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Comidoc Analysis

Statistical Analysis through Case Studies

Strengths

Scenario-Based Learning

Instruction includes a dedicated section of 16 items focused on practical scenarios such as revenue prediction and stock market analysis.

Statistical Breadth

The curriculum covers fundamental statistics, correlation, and various regression techniques alongside data visualization.

Limitations

Instructional Disorganization

Learner signals suggest potential issues with video sequencing, inconsistent audio volume, and unclear exercise requirements.

Procedural Gaps

Some statistical procedures are introduced without foundational explanations, and discrepancies have been noted between code execution and expected results.

Best suited to

Beginners seeking an introduction to SAS
Analysts transitioning into finance or pharmaceutical industries

Less suited to

Learners requiring highly structured or sequential video progression
Users seeking deep theoretical explanations of statistical procedures

Comidoc Score

5.8/10

Worth considering

Beginner-friendly

Comidoc verdict

The curriculum progresses from basic data manipulation and SQL integration into more complex statistical analysis and macro programming. Real-world case studies offer a practical framework for applying SAS to business problems.

Instructional inconsistencies regarding video organization, audio levels, and the depth of procedural explanations can hinder progress. Some learners have also reported discrepancies between code execution and expected results.

This course is best suited for beginners seeking a broad overview of SAS through practical scenarios, provided they can navigate these instructional irregularities.

Score breakdown

Curriculum depth: 7.3
Applied learning: 7.3
Clarity & experience: 2.8
Currency & reliability: 4.3
Audience fit: 5.8

The curriculum aligns with the stated goals of beginners and analysts, covering essential functions for data manipulation.

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