Base SAS Certification

Teacher
maziworld
Category:
SAS, Videos
4 out of 5
4
6 reviews

Sample Video

File size: 15 kb

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 :

  1. Data Access
  2. Management
  3. Analysis
  4. Presentation

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.

Materials :

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

1
An overview foundation of SAS
Preview
20 min

Chapter 2: Getting started with SAS

1
Introduction to SAS programs
2
Submitting a program
3
Exercises /quiz

Chapter 3: Working with SAS Syntax

1
Mastering Fundamental Concepts
2
Diagnosis and Correcting syntax errors
3
Exercises

Chapter 4: Getting familiar with SAS Datasets

1
Understanding the PDV Process
2
Accessing sas data libraries and Relational databases
3
Exercises

Chapter 5: Reading SAS Datasets

1
Introduction to Reading Data
2
Using SAS Data as Input
3
Subsetting Observations variables
4
Adding permanent attributes
5
Exercises

Chapter 6: Reading excel worksheets

1
Using excel data as input
2
Reading excel worksheets
3
Exercises

Chapter 7: Reading delimited raw data files

1
Using standard delimited data as input
2
Using NON standard delimited data as input
3
Exercises

Chapter 8: Validating and Cleaning data

1
Introduction to Validating and Cleaning data
2
Examining data errors when reading raw datafiles
3
Validating data with print and freq procedure
4
Validation data with means and Univariate procedure
5
Cleaning invalid data with windows and UNIX
6
Using FSEDIT window to clean the data
7
Exercises

Chapter 9:Manipulating the data

1
Creating variables
2
Creating Varibles conditionally
3
Subsetting observations
4
Excersises

Chapter 10: Combining the sas datasets

1
Introduction to Combining the datasets
2
Appending the sas datasets
3
Concatenation of sas datasets
4
Merging the sas datasets [One to one / One to many ]
5
Merging datasets with Non-Matches
6
Exercises

Chapter 11: Enhancing the Reports

1
Using global statements
2
Adding labels and formats
3
Creating used defined formats
4
Subetting and Grouping Observations
5
Direct output to the external files HTML /PDF/EXCELXP/RTF
6
Exercises

Chapter 12: Producing summary reports

1
Using Freq Procedure
2
Using means procedure
3
Using Tabulate Procedure

Chapter 13 : Controlling input and output

1
Output multiple observations
2
Writing to multiple sas datasets
3
Selecting variables and Observations
4
Writing to an external file
5
Exercises

Chapter 14 : Summarizing Data

1
Creating and Accumulating total variables
2
Accumulating totals for a group of data
3
Exercises

Chapter 15 : Reading and writing different types of data

1
Reading Delimited rawdata files
2
Controlling when a record loads
3
Reading hierarchical rawdata files
4
Exercises

Chapter 16: Transformations

1
Introduction
2
Manipulating character values
3
Manipulating Numeric Values
4
Manipulating Numeric values based on Dates
5
Converting variable type
6
Exercises

Chapter 17 : Debugging Techniques

1
Using PUT Statement
2
Debug Option

Chapter 18 : Processing data iteratively

1
DO Loop Processing
2
SAS Array Processing
3
Using SAS Arrays
4
Exercises

Chapter 19: Combining the sas datasets

1
Match merging two or more sas datasets
2
Simple joins using sas sql procedure
3
Exercises
Faq Content 1
Faq Content 2

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Enrolled: 88 students
Duration: 30 Days
Lectures: 59
Video: Available
Level: Advanced

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Working hours

Monday 9:00 am to 8 pm ist
Tuesday 9:00 am to 8 pm ist
Wednesday 9:00 am to 8 pm ist
Thursday 9:00 am to 8 pm ist
Friday 9:00 am to 8 pm ist
Saturday 9:00 am to 8 pm ist
Sunday Closed