Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
16 Hour(s) 36 Minute(s)
Language
English
Taught by
Shenggang Li
Rating
1 views
Course Overview
A complete guide and use cases study for job seekers and beginners -- start career in SAS, Statistics and Data science
You should take this course!
• If you need a complete and comprehensive package that covers SAS programming, intuitive statistics interpretation, data analysis, and predictive modeling, and
• If you would like to learn by doing various practical use cases fitting in the positions in different business portfolios, and
• Whether you are a job seeker or beginner intending to start a data science career
Then this around 18 hours course is right for you!
This complete SAS course includes more than 150 lectures and contains 11 real world case studies/projects in different applied areas such as banking and marketing. After this intensive training, you will be equipped with a powerful tool for the most sexy data analytics career path!
Course Content
- 10 section(s)
- 171 lecture(s)
- Section 1 Introduction
- Section 2 SAS environment and basic concepts
- Section 3 Get started SAS programming
- Section 4 Input and output raw data
- Section 5 Manipulate data by data step programming
- Section 6 Control flow in SAS
- Section 7 SAS data step functions
- Section 8 Use cases study (1)
- Section 9 Other SAS features in data step programming
- Section 10 Use cases study (2)
What You’ll 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
Reviews
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TTemitope Emmanuel Agbadaola
It was a good match for me.
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MMansura Begum
Good explanation
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AAnastasia Cohen
The course content itself was great! Learned lots and covered a wide range of topics, which is awesome! The issue I had was the homework assignments. Very frustrating. Most of the assignments didn't have dataset loaded in the files, so you can't physically work with the dataset you're supposed to be using for the assignments. Homework was also very unorganized. I wish someone had told me prior to signing up because one of my interests in taking this course was that it had lot's of practice problems. If you're newer to SAS/coding then it may be difficult/frustrating like it was for me. Would definitely recommend if you soley/mainly want to learn to content: beginner friendly, wide range of functions/areas, which is great! If you want practice, maybe find it elsewhere.
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GGebretsadic Shiferaw
I am a SAS programmer, not satiation. The detailed explanation for each procedure helped me to understand what each procedure does.
