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Shenggang Li Courses
Complete & Practical SAS, Statistics & Data Analysis Course
4.3 (1,791 Reviews)
Provider: Udemy
Time: 16.6h- 2018
$74.99
Visit
The complete SQL & Python for SQL with Hands-on Questions
4.1 (141 Reviews)
- Provider: Udemy
- Time: 15.5h
- 2019
$44.99
Visit
Most Recent Review
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.
- Review by Anastasia Cohen on Complete & Practical SAS, Statistics & Data Analysis Course
Instructor Bio
Having successfully led the development of cutting-edge risk models using Big data at multiple major financial institutions and excelled in the advanced analytics field for the past 15 years, I am very enthusiastic at transferring knowledge and skills to the job seekers and new comers in the field of data analytics and application to business.
I hold a PhD in Statistics and operational research. I am also a passionate educator, teaching as a principal instructor of a Toronto-based college, including advanced SAS data mining, Python & R for data science and machine learning and Big data analytics foundation and projects and for over 10 years. As a result, I have helped many of my students land their dream jobs in advanced analytics.
I am also a Big data experts in machine learning, predictive modelling and retail/marketing analytics in Canada. My work includes but not limited to: implementation of Big data analysis for credit bureau, model vetting and validation for banking capital market, and customers attrition and life stage/life style segmentation for retail banks as well as big market firms. I also worked closely with senior executives and Big data architects in the field of health science to provide strategic advice.
