SAS Course

SAS Course is one of the most used programming languages in several industries and Business intelligent for data works. This programming language stands as a Statistical Analysis System which is for statistical analysis and other evaluation of data that are core parts for several industries or business intelligence to function on data evaluation, interpretation, and many more.

The course is designed in a manner that involves all essential learning parameters of Statistical Analysis System programming aspects for higher authorities, business intelligence, IT industries, and so on.

The course focuses on several learning parameters of Statistical Analysis Systems like types, usage of other programming software, and much more.

The course is available in online or offline modes for a better learning experience for students who want to explore their learning in data evaluation.

Course Details

Throughout the course of learning, students are facilitated with several study materials either in form of hardcopy or soft copy that is related to the statistical analysis programming tool. Along with study materials, students will be having access of eBooks and such other facilities that are included throughout the course of learning. In addition to this, students have daily live sessions, practical classes, recorded lectures, and other practical sessions that have a great impact on data management and data handling. Experts or proficient teachers are there to guide and provide statistical analysis system classes where students get better learning or usage tips of programming software in concern with modern parameters.

Course Duration

Statistical Analysis System programming learning divides into the time period of weeks of learning where students can complete their courses within;
5 Hours
3 Months
20 Weeks

During this time period, students get better and more effective classes to explore their programming learning for advanced analytics, business perspective, data management, predictive analytics, and data manipulation for several industries to find better results and outcomes.

What You’ll Learn

• Students will be learning how to validate data by using different types of Statistical analysis software that provide accurate data interpretation.
• Students will be learning how SQL is much useful in SAS when finding the best result for data manipulation. Learn how to merge SAS into SQL with different approaches.
• Students will be learning how to import data as well as data manipulation with their best types of statistical systems that provide better results.
• Students will be focusing on how data effectiveness is much worth for several industries or IT companies to provide better results and outcomes efficiently.
• Students learn how to use SAS software through a graphical interface and SAS programming language that create a positive impact on data presentation.
• Students will be focusing on various skill development activities that would be having a positive impact on data interpretation and management.

Why Choose Statistical Analysis System Course?

The course is highly profiled as well as standardized to provide better learning objectives along with skill development concerns that would be beneficial for using language programming.

Upon completion of the course, you’ll receive!

• Grab membership opportunities along with access to study materials from expert visions.
• Course Completion Certificate from top institute IIFL or InteliGenes!
• Masterclass and better supervision in Statistical Analysis System Programming software for better learning.

Do you want to start learning SAS programming easily and quickly? This course is the complete SAS BASE certification programming course for

• absolute SAS beginners
• Is anyone interested in passing the SAS BASE certification examsSAS Certified Specialist: Base Programming Using SAS 9.4 (Exam ID: A00-231, A00-233)SAS Certified Associate: Programming Fundamentals Using SAS 9.4 (Exam ID A00-215)— This course covers far more than this exam required, you may pick and learn the contents required by the exam)
• Looking for a Data manipulation and data preparation course using SAS? This course is also your choice. It covers all critical and essential Data manipulation and data preparation skills using SAS
• Coding exercises and projects are perfect for the practical coding questions in the exam for SAS Certified Specialist: Base Programming Using SAS 9.4

You may compare the contents covered in this course with the official SAS BASE Certification Exam contents (due to Udemy policy, I am not allowed to include the SAS link here).

This course is for all SAS users in business, government, and academia, or for anyone who is aspiring to build a career in analysis or research of Financial, Marketing, Clinical or Statistical data.

You need no prior experience with SAS software, and if you have some expertise you may still find this course useful for learning SAS and analytical techniques you missed or for reference.

About the SAS Training

The SAS Training bundle is designed to provide hands-on knowledge and skills to become a successful data analyst. By undertaking these online courses through this bundle you will gain in-depth knowledge of analyzing data effectively.

It is always a challenge when you need to steer through a sea of data and use it to make informed decisions. It can be done efficiently if you are aware of data analysis and data analysis techniques that relate to specific industries. This online training bundle on SAS Training will enable you to master data analysis whether are fresher or someone who has been into data analysis for years.

It won’t be wrong if we say that data analysis is now a necessity to a business. May it be a launch of a new product/service or finding out what has gone wrong with the most successful product for a company, data analysis can prove as a lifeline when such decisions need to be made.

SAS Training Bundle Objectives

• Learn effective decision making working with a huge amount of data
• Become an Expert in Big SAS Training.
• Develop critical thinking and analytical skills required to outclass in the field of data analysis using sophisticated business tools
• Structure the data available from the research

Why learn SAS Training?

It is important that you learn about SAS Training as it will enable you to;

• Better usage of data, which in turn helps you to plan and ratify strategies with greater clarity and assurance.
• Data drives increased organizational productivity and a competitive advantage over peers.
• Enhance a business using most efficient and trusted tools in the market by delivering value and results
• Draw meaningful insights from the data set and take critical decisions for the business
• Rule out human prejudice and use proper statistical treatment

SAS Course Curriculum

Module 1: BASE SAS

• • SAS Introduction
  • Windows in the SAS Windowing Environment
  • SAS Language
  • SAS Libraries
  • Understanding DATA Step Processing
  • Reading Raw Data from Internal and External files
  • Different Types of Input Methods
  • Methods for Accessing PC Files Data
  • Reading Data from Existing SAS Data Set and Writing to External Files
  • Examining SAS Library Contents and SAS Data Set Contents: PROC CONTENTS
  • Working with Data
  • Performing Conditional Processing
  • Combining SAS Data Sets
  • SAS Utility Procedures
  • SAS/STAT
  • SAS/Report
  • SAS/ODS

Accessing Data

• • 1. Use FORMATTED, LIST, and COLUMN input to read raw data files
    2. Use INFILE statement options to control processing when reading raw data files
    3. Use various components of an INPUT statement to process raw data files including column and line pointer controls, and trailing @ controls
    4. Combine SAS data sets using the DATA step

Creating Data Structures

• • 1. Create temporary and permanent SAS data sets
    2. Create and manipulate SAS date values
    3. Use DATA Step statements to export data to standard and comma-delimited raw data files
    4. Control which observations and variables in a SAS data set are processed and output

Managing Data

• • 1. Investigate SAS data libraries using base SAS utility procedures
    2. Sort observations in a SAS data set
    3. Conditionally execute SAS statements
    4. Use assignment statements in the DATA step
    5. Modify variable attributes using options and statements in the DATA step
    6. Accumulate sub-totals and totals using DATA step statements
    7. Use SAS functions to manipulate character data, numeric data, and SAS date values
    8. Use SAS functions to convert character data to numeric and vice versa
    9. Process data using DO LOOPS
    10. Process data using SAS arrays

Generating Reports

• • 1. Generate list reports using the PRINT and REPORT procedures
    2. Generate summary reports and frequency tables using base SAS procedures
    3. Enhance reports through the use of labels, SAS formats, user-defined formats, titles, footnotes and SAS System reporting options
    4. Generate HTML reports using ODS statements

Handling Errors

• 1. Identify and resolve programming logic errors
  2. Recognize and correct syntax errors
  3. Examine and resolve data errors

Module 2: ADVANCE SAS

• SAS/MACRO
• SAS/SQL

Accessing Data Using SQL

1. Generate detailed reports by working with a single table or joining tables using PROC SQL and the appropriate options
2. Generate summary reports by working with a single table or joining tables using PROC SQL and the appropriate options
3. Construct sub-queries within a PROC SQL step
4. Compare solving a problem using the SQL procedure versus using traditional SAS programming techniques
5. Access Dictionary Tables using the SQL procedure
6. Demonstrate advanced PROC SQL skills by creating and updating tables, updating data values, working with indexes using the macro interface/creating macro variables with SQL, defining integrity constraints, SQL views, and SET operators

Macro Processing

1. Creating and using user-defined and automatic macro variables within the SAS Macro Language
2. Automate programs by defining and calling macros using the SAS Macro Language
3. Understand the use of macro functions
4. Recognize various system options that are available for macro debugging and displaying values of user-defined and automatic macro variables in the SAS log

Advanced Programming Techniques

1. Demonstrate advanced data set processing techniques such as updating master data sets, transposing data, combining/merging data, sampling data, using generation data sets, integrity constraints, and audit trails
2. Reduce the space required to store SAS data sets and numeric variables within SAS data sets by using compression techniques, length statements or DATA step views
3. Develop efficient programs by using advanced programming techniques such as permanent formats and array processing
4. Use SAS System options and SAS data set options for controlling memory usage
5. Control the processing of variables and observations in the DATA step
6. Create sorted or indexed data in order to avoid unnecessary sorts, eliminate duplicate data, and to provide more efficient data access and retrieval
7. Use PROC DATASETS to demonstrate advanced programming skills (e.g. renaming columns, displaying metadata, creating indexes, creating integrity constraints, creating audit trails)

Using Web services to interact with third-party Tools like Jangomail. Apart from this, we will develop a project. Students can show this project in their resumes.