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

Ratings 4.10 / 5.00
Complete & Practical SAS, Statistics & Data Analysis Course

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

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 Should Attend!

  • 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.

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Tags

  • Data Analysis
  • SAS
  • Statistics

Subscribers

11223

Lectures

171

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