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DevelopmentData ScienceStatistics

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
Rating: 3.8 out of 53.8 (1,669 ratings)
10,518 students
Created by Shenggang Li
Last updated 12/2018
English
English [Auto]

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

Requirements

  • Basic computer operational skills.
  • Basic math skills.
  • Data intuition

Description

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!

Who this course is for:

  • Beginners or job seekers interested in learning SAS Programming, statistical and data analysis in industry fields.
  • People who wish to enter data science/analytics field.

Featured review

Ron Orton
Ron O.
3 courses
3 reviews
Rating: 5.0 out of 53 years ago
Although I skipped the first dozen chapters (because I am already familiar with SAS basics), I found the rest of the course VERY informative and helpful. The instructor if very thorough and straight-forward in his teaching approach/style ***** stars!

Instructor

Shenggang Li
Senior Data Scientist
Shenggang Li
  • 4.0 Instructor Rating
  • 1,816 Reviews
  • 17,157 Students
  • 3 Courses

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. 


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