Data-Science-with-SAS-Certification
Highest Rated

Data Science with SAS

SAS- Statistical Analysis System is a programming software that is one of the most used software in the Data Analytics field. It is mainly used for storing, retrieving, sorting, analyzing, and creating reports for the data. This tool is a GUI (Graphical User Interface) and doesn’t require coding background to use. SAS can process complex data and generate meaningful insights that can be used by organizations to make better decisions or even predict possible outcomes of business in the near future. SAS is a leader in 2017 Gartner Magic Quadrant for Data Science Platform.
After the completion of our training on Data science with SAS, you will be qualified for numerous job opportunities from all over the world such as:
• Data Scientist – SAS
• Business Intelligence Analyst
• Data Science Modelers
• Senior Consultant – Consumer analytics
Apart from these, there are other career options also be available for you such as promotions, job switching to MNCs and teaching at institutes or online platforms.
Below are the learning objectives of Data Science with SAS Certification:

  • The objective of the Data Science with SAS Certification training program is to help students’ master SAS programming skills.
  • Gain an in-depth understanding of accessing, modifying and manipulating data
  • In addition, they will also be able to improvise upon the data for better reporting and analytics function.
  • Modeling and optimization techniques will form the core of the course content.
  • By the end of the data science with SAS training program, students will get a grip of the basics of statistics and analytics and will be in a position to apply these concepts in a business environment.
  • Understand how to combine dataset methods, understand select statements and joins in SQL, and comprehend the need for macro variables.
  • Learn data analysis methods to solve real-world business problems and predictive modeling techniques.

       

(12,000)
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Data Science with SAS

Enroll Now
Catogory

Data Science & Business Intelligence

Duration Time

45 hours

Price

Rs. 2000

EduInPro’s Data Science with SAS Certification Training is a thoughtfully designed course that enables learners to work with both technical and non-technical background to make a transition into the analytics industry with the correct skill sets. It is designed in a way that post completion of the program, learners be prepared to devise solutions for real-time problems in the industry through SAS. The course covers all the topics from SAS Base Programming Certification major coverage from the SAS Advanced Programming and essential procedures and techniques from SAS Statistical Business Analysis: Regression and Modeling. You’ll learn how to apply data manipulation and optimization techniques; advanced statistical concepts like clustering, linear regression and decision trees; data analysis methods to solve real-world business problems and predictive modeling techniques. This SAS course will give you practical knowledge you can apply on your next data analysis job.

Data Science with SAS Modules


  • Introduction and History of SAS
  • Significance of SAS software solutions in various industries
  • Demonstrate SAS Capabilities
  • Job Profile / career opportunities with SAS worldwide?
  • Explore SAS Windowing Environment
  • SAS Tasks
  • Working with SAS Syntax
  • Create and submit a SAS sample program
  • Accessing SAS Data libraries
  • Getting familiar with SAS Data set
  • Introduction to reading data
  • Examine structure of SAS data set
  • Understanding of SAS works
  • Using Excel data as input
  • Create as sample program to import and export excel sheets
  • Introduction to raw data
  • Reading delimited raw data file (List Input)
  • Using standard delimited data as input
  • Using nonstandard delimited data as input
  • Reading raw data aligned to columns (Fixed or column input)
  • Reading raw data with special instructions (Formatted input)
  • Write data values from SAS data set to an external file
  • Create multiple output datasets from single SAS dataset
  • Writing observations to one or more SAS datasets
  • Controlling which observations and variables to be written to output data
  • Where condition
  • Conditional processing using: IF statements
  • Iterative DO loop processing with END statement
  • DO WHILE & DO UNTIL Statement
  • SAS Array statement
  • Creating and Accumulating total variable (Retain)
  • Using Assignment statement
  • Accumulating totals for a group of data (BY group)
  • Sorting SAS data sets
  • Manipulating SAS data values
  • Presentation of user defined values /data/currency values using FORMAT procedure
  • SAS functions to manipulate char and num data
  • Convert data type form char-to num and num-to-char
  • SAS variables lists/ SAS variables lists range
  • Debugging SAS program
  • Accessing observations by creating index
  • Rotating with the data step
  • Using the transpose procedure
  • Concatenation
  • Interleaving
  • One to one reading
  • One to one merging (with non-matching)
  • Match merging (Merging types with IN=option)
  • Validating and cleaning data
  • Detect and correct syntax errors
  • Examining data errors
  • SAS/REPORTS SAS/GRAPH
  • SAS/STATS SAS/ODS
  • Freq Report
  • Means Report
  • Tabulate Report
  • Proc report
  • Summary report
  • Univariate report
  • Contents report
  • Print report
  • Compare proc
  • Copy proc
  • Datasets proc
  • Proc append
  • Proc delete
  • Regression proc
  • Uni/Multivariate proc
  • Anova proc
  • Producing Bar and Pie charts (GCHART Proc)
  • Producing plots (GPLOT Proc)
  • Presenting Output Report result in:
  • PDF
  • Text files
  • Excel
  • HTML Files
  • Introduction and overview to SQL procedure
  • Proc SQL and Data step comparisons
  • Proc SQL syntax overview
  • Specifying columns/creating new columns
  • Specifying rows/subsetting on rows
  • Ordering or sorting data
  • Formatting output results
  • Presenting detailed data
  • Presenting summarized data
  • Non correlated sub queries
  • Correlated sub queries
  • Introduction to SQL joins
  • Types of joins with examples
  • Simple to complex joins
  • Choosing between data step merges and SQL joins
  • Introduction to set operations
  • Except/Intersect/Union/Outer union operator
  • Creating views with SQL procedure
  • Dictionary tables and views
  • Interfacing Proc SQL with the macro programming language
  • Creating and maintaining indexes
  • SQL Pass-Through facility
  • Introduction to macro facility
  • Generate SAS code using macros
  • Macro compilation
  • Creating macro variables
  • Scope or macro variables
  • Global/Local Macro variables
  • User defined /Automatic Macro variables
  • Macro variables references
  • Combing macro variables references with text
  • Macro functions
  • Quoting (Masking)
  • Creating macro variables in Data step (Call SYMPUT Routine)
  • Obtaining variable value during macro execution (SYMGET function)
  • Creating macro variables during PROC SQL execution (INTO Clause)
  • Creating a delimited list of values
  • Macro parameters
  • Strong Macro using Autocall Features
  • Permanently storing and using stored compiled macro program
  • SAS Macro debugging options to track problems
  • Standard deviation
  • Correlation Coefficients
  • Outliers
  • Linear regressions
  • Clustering
  • Chi Square

Course Outline

  • Overview of SAS
    • Introduction and History of SAS
    • Significance of SAS software solutions in various industries
    • Demonstrate SAS Capabilities
    • Job Profile / career opportunities with SAS worldwide?
  • Base SAS Fundamentals
    • Explore SAS Windowing Environment
    • SAS Tasks
    • Working with SAS Syntax
    • Create and submit a SAS sample program
  • Data Access & Data Transformation
    • Accessing SAS Data libraries
    • Getting familiar with SAS Data set
  • Reading SAS data set
    • Introduction to reading data
    • Examine structure of SAS data set
    • Understanding of SAS works
  • Reading Excel worksheets
    • Using Excel data as input
    • Create as sample program to import and export excel sheets
  • Reading Raw data from External File
    • Introduction to raw data
    • Reading delimited raw data file (List Input)
    • Using standard delimited data as input
    • Using nonstandard delimited data as input
    • Reading raw data aligned to columns (Fixed or column input)
    • Reading raw data with special instructions (Formatted input)
  • Writing to an External file
    • Write data values from SAS data set to an external file
  • Data transformations (Data step processing)
    • Create multiple output datasets from single SAS dataset
    • Writing observations to one or more SAS datasets
    • Controlling which observations and variables to be written to output data
  • Creating subset of observations using
    • Where condition
    • Conditional processing using: IF statements
  • Processing Data Iteratively
    • Iterative DO loop processing with END statement
    • DO WHILE & DO UNTIL Statement
    • SAS Array statement
  • Summarizing data
    • Creating and Accumulating total variable (Retain)
    • Using Assignment statement
    • Accumulating totals for a group of data (BY group)
  • Manipulating Data
    • Sorting SAS data sets
    • Manipulating SAS data values
    • Presentation of user defined values /data/currency values using FORMAT procedure
    • SAS functions to manipulate char and num data
    • Convert data type form char-to num and num-to-char
    • SAS variables lists/ SAS variables lists range
    • Debugging SAS program
    • Accessing observations by creating index
  • Restructuring a SAS data set
    • Rotating with the data step
    • Using the transpose procedure
  • Combining SAS data sets
    • Concatenation
    • Interleaving
    • One to one reading
    • One to one merging (with non-matching)
    • Match merging (Merging types with IN=option)
  • SAS Access & SAS Connect
    • Validating and cleaning data
    • Detect and correct syntax errors
    • Examining data errors
  • Analysis & Presentation
    • SAS/REPORTS SAS/GRAPH
    • SAS/STATS SAS/ODS
  • Producing detailed /Summary Reports
    • Freq Report
    • Means Report
    • Tabulate Report
    • Proc report
    • Summary report
    • Univariate report
    • Contents report
    • Print report
    • Compare proc
    • Copy proc
    • Datasets proc
    • Proc append
    • Proc delete
  • Generating Statistical Reports using
    • Regression proc
    • Uni/Multivariate proc
    • Anova proc
  • Generating Graphical reports using
    • Producing Bar and Pie charts (GCHART Proc)
    • Producing plots (GPLOT Proc)
    • Presenting Output Report result in:
    • PDF
    • Text files
    • Excel
    • HTML Files
  • SAS/SQL Programming
    • Introduction and overview to SQL procedure
    • Proc SQL and Data step comparisons
  • Basics Queries
    • Proc SQL syntax overview
    • Specifying columns/creating new columns
    • Specifying rows/subsetting on rows
    • Ordering or sorting data
    • Formatting output results
    • Presenting detailed data
    • Presenting summarized data
  • Sub Queries
    • Non correlated sub queries
    • Correlated sub queries
  • SQL Joins (Combining SAS data sets using SQL Joins)
    • Introduction to SQL joins
    • Types of joins with examples
    • Simple to complex joins
    • Choosing between data step merges and SQL joins
  • SET Operators
    • Introduction to set operations
    • Except/Intersect/Union/Outer union operator
  • Additional SQL Procedures features
    • Creating views with SQL procedure
    • Dictionary tables and views
    • Interfacing Proc SQL with the macro programming language
    • Creating and maintaining indexes
    • SQL Pass-Through facility
  • SAS Macro Language
    • Introduction to macro facility
    • Generate SAS code using macros
    • Macro compilation
    • Creating macro variables
    • Scope or macro variables
    • Global/Local Macro variables
    • User defined /Automatic Macro variables
    • Macro variables references
    • Combing macro variables references with text
    • Macro functions
    • Quoting (Masking)
    • Creating macro variables in Data step (Call SYMPUT Routine)
    • Obtaining variable value during macro execution (SYMGET function)
    • Creating macro variables during PROC SQL execution (INTO Clause)
    • Creating a delimited list of values
    • Macro parameters
    • Strong Macro using Autocall Features
    • Permanently storing and using stored compiled macro program
    • SAS Macro debugging options to track problems
  • Basics Statistics
    • Standard deviation
    • Correlation Coefficients
    • Outliers
    • Linear regressions
    • Clustering
    • Chi Square

What do I need to do to unlock my Eduinpro certificate?

Online Classroom:

  • Attend one complete batch
  • Successful completion and evaluation of any one of the given projects

Online Self-learning:

  • Complete 85% of the course
  • Successful completion and evaluation of any one of the given projects

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Ankit Prakash

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FREQUENTLY ASKED QUESTIONS
To run SAS, you need to download and install the SAS university edition from http://www.sas.com/en_us/software/university-edition.html (make this link no-follow)
No it’s not required for data science with SAS.
Yes, EduInPro’s training and course materials guarantee success with the Data Science with SAS certification exam.
Upon successful completion of the Data Science with SAS Certification training, after the evaluation project is submitted and evaluated, and after passing the online exam with a minimum score of 75%, participant will receive a Data Science with SAS Certificate from EduInPro, which states that you are a Certified Data Scientist with SAS.
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