This online training course is meticulously designed to provide a comprehensive understanding of Basic SAS Programming. The course begins with the emphasis on the features and capabilities of SAS. It covers concepts required to perform day to day work in the professional world
Online Training
- 180 Days access to HD Video Lecture delivered by industry experts
- Interactive Discussion Forum for solving queries.
- Course Completion Certificate
Corporate Training
- Hybrid (Online + Onsite) Learning Approach.
- White Labeled Learning Management System (LMS).
- Standard/customizable dashboards for individuals and teams.
- Affordable Pricing.
- Dedicated Account Manager.
Course Overview
This online training course is meticulously designed to provide a comprehensive understanding of Basic SAS Programming. The course begins with the emphasis on the features and capabilities of SAS. It covers concepts required to perform day to day work in the professional world.
It covers topics on reading data from various sources to creating datasets, data step processing, data manipulation, creating reports using SAS procedures, performing descriptive statistics and combining datasets.It also covers advanced topics like usage of SQL and macros in SAS.
SAS University Edition is used during the course to explain the concepts. Hands-on experience is guaranteed as various concepts are shown throughout the course.
Course Curriculum
| 1 | SAS - Features & Capabilities Preview | 06:49 |
| 2 | SAS Windows,Program flow,Libraries | 12:08 |
| 3 | Reading data from text, csv files & SET statement | 08:16 |
| 4 | Installation of SAS University Edition | 04:05 |
| 5 | Features, Write your first program | 05:25 |
| 6 | Define library, Use SET Statement | 04:47 |
| 7 | Reading data to create datasets - Using Infile, PROC IMPORT | 09:01 |
| 8 | Dataset creation -Using List Input, Column Input, Datalines | 06:52 |
| 9 | Data Step Processing | 07:06 |
| 10 | Informats | 07:10 |
| 11 | Formats | 04:28 |
| 12 | Dates in SAS | 08:19 |
| 13 | Reading raw data using Formatted, Mixed Formatted Input | 10:41 |
| 14 | Demo - Listed, Column, Formatted & Mixed Input | 10:25 |
| 15 | Demo - Reading Non Standard data | 03:47 |
| 16 | PROC CONTENTS | 02:15 |
| 17 | Procedures - PRINT, FREQ, FORMAT | 09:43 |
| 18 | Demo - Procedure CONTENTS, PRINT | 08:54 |
| 19 | Demo - Procedure FREQ | 10:52 |
| 20 | Demo - Procedure FORMAT, title statement | 11:06 |
| 21 | Selecting variables - KEEP, DROP | 08:16 |
| 22 | Subsetting datasets - IF, WHERE, DELETE, OUTPUT | 06:11 |
| 23 | Conditional Processing - IF, IF-THEN/ELSE Statements | 06:04 |
| 24 | Procedures - IMPORT, EXPORT, SORT | 05:55 |
| 25 | Demo - KEEP, DROP | 07:22 |
| 26 | Demo - Conditional Processing -If Else, If Else If | 04:28 |
| 27 | Demo- Subsetting datasets-IF, WHERE | 06:56 |
| 28 | Demo - PROC SORT | 09:08 |
| 29 | Using ODS Statements to Create outputs | 05:53 |
| 30 | Demo - Using ODS statements | 05:15 |
| 31 | Character functions | 12:50 |
| 32 | Numeric & Date functions, Put & Input functions | 11:25 |
| 33 | Demo - Character functions | 10:27 |
| 34 | Demo - Numeric functions | 04:31 |
| 35 | Demo - Date functions | 09:38 |
| 36 | Demo - Input and Put | 03:30 |
| 37 | Stacking & Interleaving Data Sets using the SET Statement | 04:40 |
| 38 | Using Merge statement | 09:04 |
| 39 | Example on Merge, IN dataset option | 08:57 |
| 40 | One-to-Many merge, Many-to-Many | 07:14 |
| 41 | Demo - SET, Interleave | 04:20 |
| 42 | Demo - One-to-One merge, types of merges, match merge | 13:20 |
| 43 | Demo - One-Many & Many-Many Match merge | 05:27 |
| 44 | Procedures - MEANS, SUMMARY, TABULATE | 06:03 |
| 45 | Demo- Procedure MEANS | 08:04 |
| 46 | Demo- Procedure SUMMARY | 05:54 |
| 47 | Demo- Procedure TABULATE | 08:31 |
| 48 | The Simplest SELECT, WHERE, ORDER Statement | 10:08 |
| 49 | SQL Joins | 05:10 |
| 50 | Using Group Functions | 06:06 |
| 51 | Quick Summary | 06:29 |
| 52 | Demo -SELECT, WHERE, ORDER | 07:52 |
| 53 | Demo - GROUP BY, HAVING | 05:36 |
| 54 | Demo - SQL Joins | 15:19 |
| 55 | Define Macros Variables and Macros | 08:51 |
| 56 | Demo - Define Macro Variables | 07:04 |
| 57 | Demo - Define Macros | 07:33 |
| 58 | Demo - Symput, Symget | 04:21 |
| Final Exam - SAS |
Eligibility Criteria
Freshers and experienced professionals who are interested in pursuing a career in Data analysis, Reporting and Analytics. No prior knowledge of programming/SQL is required. It is the entry point to learning SAS programming and is a prerequisite to advanced SAS and analytics courses. Ratings & Reviews
Mr. Abrar Iqbal Khalfe
3.5, 3.5
3.5, 3.5
Ok
