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SAS Programming: Data Manipulation and Analysing Techniques
Rating: 4.2 out of 5(43 ratings)
1,537 students
Created byBüşra Fenerci
Last updated 11/2018
English

What you'll learn

  • You can do data analysis easliy.
  • You can transpose your data, add new calculated columns.
  • You can delete some values in your data, and impute them also.
  • After you finish this course, you can start applying data mining techniques and create data models.

Course content

12 sections93 lectures6h 58m total length
  • Course Content4:32
  • Introduction to SAS1:56
  • SAS Installation6:07
  • Introduction to SAS Panels6:29
  • First SAS Program7:51

Requirements

  • Basic Computer Skills

Description

What are we going to learn in this course?

  1. Firstly we are going to download and install SAS University Edition which is totaly free.

  2. We will convert Excel tables to SAS tables.

  3. We will write lots of SAS functions and create new variables/columns.

  4. We will write SQL scripts also, and we will compare SAS and SQL codes.

  5. We will join different tables, and filter&sort tables.

  6. We will create graphs easily.


Creating meaningful data is the first step for the all data processes. If you want to create a model, apply data mining model, you have to apply this step firstly.

If you want to become a data engineer or data scientist, this course is really helpful.

You can understand and analysis data with some basic and easy functions in SAS which will be explained in the lesson.

Then you can manipulate data, impute missing variables and create new columns, merge different tables with SAS.

At the end of the course, you can apply all techniques to create clean and meaningful data with SAS.

Lots of functions and examples are applied in this course, if you have any question about a function, I can answer you quickly and also you can suggest new topics or functions to me. Lots of additions will be done in this course.

Who this course is for:

  • If you want to be a data engineer or data scientist, this course is really helpful.
  • If you want to learn data transformation, cleansing and analysing techniques, this course provides foundations.