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SAS Online Training | SAS Base Training With Placement Assistance
100% Job Oriented - Instructor Led - Face 2 Face - True Live Online IT Trainings
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SAS Online Training Course Details
SAS Online Training - FREE Demo Class
What is SAS & What is SAS Programmer role:
SAS - Statistical Analysis System.
provide statistical, Analysis & Reporting support for the company.
The SAS language is a computer programming language used for statistical analysis, originated by a project at the North Carolina State University.
SAS can read in data from common spreadsheets, Flat files and databases and output the results of statistical analyses in tables, graphs, and as RTF, HTML and PDF documents.
Importance of SAS certification in current market:
1: Improve your skills and expertise.
2: Industry validation of your SAS skills and expertise.
3: Increased marketability if you are looking for a job.
Familiarity with basic SQL queries will help you learn SAS very fast.
Advantages of learning SAS with h2k Infosys:
1: We provide a unique approach to our students coming from different background & skill set.
2: Guide students individually to achieve their goals.
3: Provide real time projects on various domains.
4: Guaranteed 100% success in completing the base & advance certifications after the course completion.
5: Help providing feedback on your resumes.
- Course Highlights
- Training Videos
- Model Resumes
- Interview Questions
Why should I do the SAS course with H2kInfosys?
- H2K Infosys Trainings are instructor led real time live online, onsite training.
- Duration of the SAS training is 30 hrs.
- Live class videos are recorded for students to review the class.
- Life time access to the training videos.
- We have competitive syllabus, as per the current job market.
- Faculties has experience on SAS projects and U.S.A project experience.
- Pay one time, Access Lifetime to the SAS course videos, course content and live classes.
- Technical support to install the software on student’s computer.
- H2kInfosys has a Test lab deployed on cloud for practice.
- Live online test for each topic.
- Technical blogs are available for further increasing your knowledge base.
- After the training, unlimited mock interviews are conducted.
- Guidance will be provided on how to build resume and resume review by technical experts.
- H2K Infosys also provide job placement assistance.
What are the pre-requisites for SAS Course?Familiarity with basic SQL queries will help you learn SAS very fast.
SAS Course Syllabus
Module 1 Getting Started Using SAS Software
1.1 The SAS Language
1.2 SAS Data Sets
1.3 The Two Parts of a SAS Program
1.4 The DATA Step’s Built-in Loop
1.5 Choosing a Mode for Submitting SAS Programs
1.6 Windows and Commands in the SAS Windowing Environment
1.7 Submitting a Program in the SAS Windowing Environment
1.8 Reading the SAS Log
1.9 Viewing Your Results in the Output Window
1.10 Creating HTML Output
1.11 SAS Data Libraries
1.12 Viewing Data Sets with SAS Explorer
1.13 Using SAS System Options
Module 2: Getting Your Data into SAS
2.1 Methods for Getting Your Data into SAS
2.2 Entering Data with the Viewtable Window
2.3 Reading Files with the Import Wizard
2.4 Telling SAS Where to Find Your Raw Data
2.5 Reading Raw Data Separated by Spaces
2.6 Reading Raw Data Arranged in Columns
2.7 Reading Raw Data Not in Standard Format
2.8 Selected Informats
2.9 Mixing Input Styles
2.10 Reading Messy Raw Data
2.11 Reading Multiple Lines of Raw Data per Observation
2.12 Reading Multiple Observations per Line of Raw Data
2.13 Reading Part of a Raw Data File
2.14 Controlling Input with Options in the INFILE Statement
2.15 Reading Delimited Files with the DATA Step
2.16 Reading Delimited Files with the IMPORT Procedure
2.17 Reading PC Files with the IMPORT Procedure
2.18 Reading PC Files with DDE
2.19 Temporary versus Permanent SAS Data Sets
2.20 Using Permanent SAS Data Sets with LIBNAME Statements
2.21 Using Permanent SAS Data Sets by Direct Referencing
2.22 Listing the Contents of a SAS Data Set
Module 3: Working with Your Data
3.1 Creating and Redefining Variables
3.2 Using SAS Functions
3.3 Selected SAS Functions
3.4 Using IF-THEN Statements
3.5 Grouping Observations with IF-THEN/ELSE Statements
3.6 Subsetting Your Data
3.7 Working with SAS Dates
3.8 Selected Date Informats, Functions, and Formats
3.9 Using the RETAIN and Sum Statements
3.10 Simplifying Programs with Arrays
3.11 Using Shortcuts for Lists of Variable Names
Module 4: Sorting, Printing, and Summarizing Your Data
4.1 Using SAS Procedures
4.2 Sub-setting in Procedures with the WHERE Statement
4.3 Sorting Your Data with PROC SORT
4.4 Printing Your Data with PROC PRINT
4.5 Changing the Appearance of Printed Values with Formats
4.6 Selected Standard Formats
4.7 Creating Your Own Formats Using PROC FORMAT
4.8 Writing Simple Custom Reports
4.9 Summarizing Your Data Using PROC MEANS
4.10 Writing Summary Statistics to a SAS Data Set
4.11 Counting Your Data with PROC FREQ
4.12 Producing Tabular Reports with PROC TABULATE
4.13 Adding Statistics to PROC TABULATE Output
4.14 Enhancing the Appearance of PROC TABULATE Output
4.15 Changing Headers in PROC TABULATE Output
4.16 Specifying Multiple Formats for Data Cells in PROC TABULATE Output
4.17 Producing Simple Output with PROC REPORT
4.18 Using DEFINE Statements in PROC REPORT
4.19 Creating Summary Reports with PROC REPORT
4.20 Adding Summary Breaks to PROC REPORT Output
4.21 Adding Statistics to PROC REPORT Output
Module 5: Enhancing Your Output with ODS
5.1 Concepts of the Output Delivery System
5.2 Tracing and Selecting Procedure Output
5.3 Creating SAS Data Sets from Procedure Output
5.4 Using ODS Statements to Create HTML Output
5.5 Using ODS Statements to Create RTF Output
5.6 Using ODS Statements to Create PRINTER Output
5.7 Customizing Titles and Footnotes
5.8 Customizing PROC PRINT Output with the STYLE= Option
5.9 Customizing PROC REPORT Output with the STYLE= Option
5.10 Customizing PROC TABULATE Output with the STYLE= Option
5.11 Adding Traffic-Lighting to Your Output
5.12 Selected Style Attributes
Module 6: Modifying and Combining SAS Data Sets
6.1 Modifying a Data Set Using the SET Statement
6.2 Stacking Data Sets Using the SET Statement
6.3 Interleaving Data Sets Using the SET Statement
6.4 Combining Data Sets Using a One-to-One Match Merge
6.5 Combining Data Sets Using a One-to-Many Match Merge
6.6 Merging Summary Statistics with the Original Data
6.7 Combining a Grand Total with the Original Data
6.8 Updating a Master Data Set with Transactions
6.9 Using SAS Data Set Options
6.10 Tracking and Selecting Observations with the IN= Option
6.11 Writing Multiple Data Sets Using the OUTPUT Statement
6.12 Making Several Observations from One Using the OUTPUT Statement
6.13 Changing Observations to Variables Using PROC TRANSPOSE
6.14 Using SAS Automatic Variables
Module 7: Writing Flexible Code with the SAS Macro Facility
7.1 Macro Concepts
7.2 Substituting Text with Macro Variables
7.3 Creating Modular Code with Macros
7.4 Adding Parameters to Macros
7.5 Writing Macros with Conditional Logic
7.6 Writing Data-Driven Programs with CALL SYMPUT
7.7 Debugging Macro Errors
Module 8: Using Basic Statistical Procedures
8.1 Examining the Distribution of Data with PROC UNIVARIATE
8.2 Producing Statistics with PROC MEANS
8.3 Testing Categorical Data with PROC FREQ
8.4 Examining Correlations with PROC CORR
8.5 Using PROC REG for Simple Regression Analysis
8.6 Reading the Output of PROC REG
8.7 Using PROC ANOVA for One-Way Analysis of Variance
8.8 Reading the Output of PROC ANOVA
8.9 Graphical Interfaces for Statistical Analysis
Module 9: Exporting Your Data
9.1 Methods for Exporting Your Data
9.2 Writing Files Using the Export Wizard
9.3 Writing Delimited Files with the EXPORT Procedure
9.4 Writing PC Files with the EXPORT Procedure
9.5 Writing Raw Data Files with the DATA Step
9.6 Writing Delimited and HTML Files using ODS
9.7 Sharing SAS Data Sets with Other Types of Computers
Module 10: Debugging Your SAS Programs
10.1 Writing SAS Programs That Work
10.2 Fixing Programs That Don’t Work
10.3 Searching for the Missing Semicolon
10.4 Note: INPUT Statement Reached Past the End of the Line
10.5 Note: Lost Card
10.6 Note: Invalid Data
10.7 Note: Missing Values Were Generated
10.8 Note: Numeric Values Have Been Converted to Character (or Vice Versa)
10.9 DATA Step Produces Wrong Results but No Error Message