Complete & Practical SAS, Statistics & Data Analysis Course
A complete guide and use cases study for job seekers and beginners -- start career in SAS, Statistics and Data science
4.31 (1782 reviews)
11 381
students
16.5 hours
content
Dec 2018
last update
$74.99
regular price
What you will learn
Be equipped with a powerful tool for the most sexy data analytics career path!
Read and write various types of raw data with different formats and options
Create and modify various professional and statistical reports
Be aware of statistical analysis and concepts such as non parametric test, interaction, correlation..
Master the most complete SAS graphics tool such GTL and statistical plots
Learn comprehensive SAS Macro programming knowledge -- variables and user defined functions
Perform many real world case studies -- retail banks, credit bureau, marketing firms and clinical trials
Apply powerful data manipulation -- SQL, subsetting, slicing, filtering, transformation, ranking, sorting..
Understand data management and data piping
Use SAS ODS -- help deliver many useful objects such as charts, tables between different systems
Hundreds of SAS sample codes to explain arrays, functions and business cases
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Comidoc Review
Our Verdict
The Complete & Practical SAS, Statistics & Data Analysis Course fulfills its promise of being a beginner-friendly guide to learning the powerful tool of SAS. With an abundance of practical examples and homework assignments, learners benefit from engaging material. However, the disconnected homeworks and unresponsiveness to questions present areas for improvement. While not without flaws, such as typos and missing details, the course serves as a strong foundation in this popular data analytics field.
What We Liked
- Comprehensive coverage of SAS basics, making it an excellent option for beginners.
- Practical examples and use cases that enhance learning and understanding of concepts.
- Homework assignments to verify understanding, along with valuable real-world case studies.
- Covers various data manipulation techniques like SQL, subsetting, slicing, filtering, transformation, ranking, sorting and data management.
Potential Drawbacks
- Inadequate integration of homeworks leading to disconnection from lectures, causing difficulties in determining when enough knowledge has been acquired for specific homework questions.
- Lack of audio in some lectures and unresponsiveness to student queries hindering learning experience.
- Typos, errors and inconsistencies present in lecture videos may confuse beginners.
- The course is not entirely comprehensive, with some missing details that may require additional resources.
Related Topics
1006562
udemy ID
08/11/2016
course created date
20/08/2019
course indexed date
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