Base SAS Certification
Base SAS includes a programming language that manages your data, includes procedures for data analysis, reporting, and managing SAS files, and a windowing environment for text editing and file management.
Main Feactures of SAS or how doi I know wheather I am success in this course.you need to have the knowledge on :
- Data Access
Software Installation : Currently software installation is a paid one. You need to do it from system administrator. The total software which consists of around 17 Gb. It will take 2 Hours to do the installation.
System requirements :
Processor : i3 and above
RAM : 4GB and above [preferable 8 GB Best ]
Harddisk : SSD Harddisk with 250 GB OR Above / other harddisk also its ok
Target Audience :
Any person who completed the graducation is perfect. This Base SAS Is a foundation tool and its very easy to learn very basic coding language will be there.the most important thing is that when ever you start the class from the day you need to have the SAS Software Installation.
Books and Daily notes will be provided by us along with that recording also will be provided for reference . Step by step notes will be provided and excersises also.
Sample Videos : We request you that first don’t join the course directly as we provide the sample videos in the cirriculam first watch that try to understand. If you understand and feel comfortable with trainer explanation then gohead for classes. Join the course.
Working hours : 9:00 am ist to 8 pm ist .
Chapter 1: Introduction
Chapter 2: Getting started with SAS
Chapter 3: Working with SAS Syntax
Chapter 4: Getting familiar with SAS Datasets
Chapter 5: Reading SAS Datasets
Chapter 6: Reading excel worksheets
Chapter 7: Reading delimited raw data files
Chapter 8: Validating and Cleaning data
Chapter 9:Manipulating the data
Chapter 10: Combining the sas datasets
Chapter 11: Enhancing the Reports
Chapter 12: Producing summary reports
Chapter 13 : Controlling input and output
Chapter 14 : Summarizing Data
Chapter 15 : Reading and writing different types of data
Chapter 16: Transformations
Chapter 17 : Debugging Techniques
Chapter 18 : Processing data iteratively
Chapter 19: Combining the sas datasets
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