Data Science with SAS Course
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Data Science with SAS Course Overview
Data Science with SAS Training in Bangalore
MNP Technologies located in Marathalli, Bangalore is a leading training institute providing real-time and placement oriented Data Science with SAS Training Courses in Bangalore. Our Data Science with SAS training course includes basic to advanced levels. we have a team of certified trainers who are working professionals with hands-on real-time Data Science with SAS projects knowledge which will provide you an edge over other training institutes.
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Our Data Science with SAS training center is well equipped with lab facilities and excellent infrastructure for providing you real-time training experience. We also provide certification training programs in Data Science with SAS Training. We have successfully trained and provided placement for many of our students in major MNC Companies, after successful completion of the course. We provide placement support for our students.
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Our team of experts at MNP Technologies Training Institute, Bangalore have designed our Data Science with SAS Training course content and syllabus based on students requirements to achieve everyone’s career goal. Our Data Science with SAS Training course fee is economical and tailor-made based on training requirement.
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We Provide regular training classes(daytime classes), weekend training classes, and fast-track training classes for Data Science with SAS Training in our centers located in Bangalore. We also provide Online Training Classes for Data Science with SAS Training Course.
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Contact us today to schedule a free demo and complete course details on Data Science with SAS Training Course.
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MNP Advantage
- Real Time Trainers
- 100% Placement
- Small Batch Size
- Flexible Timings
- Excellent Lab Facility
- Practical Guidance
- Hands on Experience
- Certification Support
Training Modes

Clasroom Training

Online Training

Corporate Training
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Data Science with SAS Course Syllabus
Getting Started Using SAS
- Business Analytics, Data, Information
- Understanding Business Analytics and R
- Compare R with other software in analytics
- Install R and RStudio
- SAS Data Sets
- The Two Parts of a SAS Program
- The DATA Step’s Built-in Loop
- Choosing a Mode for Submitting SAS Programs
- Windows and Commands in the SAS Windowing Environment
- Submitting a Program in the SAS Windowing Environment
- Reading the SAS Log
- Viewing Your Results in the Output Window
- Creating HTML Output
- SAS Data Libraries
- Viewing Data Sets with SAS Explorer
- Using SAS System Options
Getting Your Data into SAS
- Methods for Getting Your Data into SAS
- Entering Data with the Viewtable Window
- Reading Files with the Import Wizard
- Telling SAS Where to Find Your Raw Data
- Reading Raw Data Separated by Spaces
- Reading Raw Data Arranged in Columns
- Reading Raw Data Not in Standard Format
- Selected Informats
- Mixing Input Styles
- Reading Messy Raw Data
- Reading Multiple Lines of Raw Data per Observation
- Reading Multiple Observations per Line of Raw Data
- Reading Part of a Raw Data File
- Controlling Input with Options in the INFILE Statement
- Reading Delimited Files with the DATA Step
- Reading Delimited Files with the IMPORT Procedure
- Reading PC Files with the IMPORT Procedure
- Reading PC Files with DDE
- Temporary versus Permanent SAS Data Sets
- Using Permanent SAS Data Sets with LIBNAME Statements
- Using Permanent SAS Data Sets by Direct Referencing
- Listing the Contents of a SAS Data Set
Working with Your Data
- Creating and Redefining Variables
- Using SAS Functions
- Selected SAS Functions
- Using IF-THEN Statements
- Grouping Observations with IF-THEN/ELSE Statements
- Subsetting Your Data
- Working with SAS Dates
- Selected Date Informats, Functions, and Formats
- Using the RETAIN and Sum Statements
- Simplifying Programs with Arrays
- Using Shortcuts for Lists of Variable Names
Sorting, Printing, and Summarizing Your Data
- Using SAS Procedures
- Subsetting in Procedures with the WHERE Statement
- Sorting Your Data with PROC SORT
- Printing Your Data with PROC PRINT
- Changing the Appearance of Printed Values with Formats
- Selected Standard Formats
- Creating Your Own Formats Using PROC FORMAT
- Writing Simple Custom Reports
- Summarizing Your Data Using PROC MEANS
- Writing Summary Statistics to a SAS Data Set
- Counting Your Data with PROC FREQ
- Producing Tabular Reports with PROC TABULATE
- Adding Statistics to PROC TABULATE Output
- Enhancing the Appearance of PROC TABULATE Output
- Changing Headers in PROC TABULATE Output
- Specifying Multiple Formats for Data Cells in PROC TABULATE Output
- Producing Simple Output with PROC REPORT
- Using DEFINE Statements in PROC REPORT
- Creating Summary Reports with PROC REPORT
- Adding Summary Breaks to PROC REPORT Output
- Adding Statistics to PROC REPORT Output
Enhancing Your Output with ODS
- Concepts of the Output Delivery System
- Tracing and Selecting Procedure Output
- Creating SAS Data Sets from Procedure Output
- Using ODS Statements to Create HTML Output
- Using ODS Statements to Create RTF Output
- Using ODS Statements to Create PRINTER Output
- Customizing Titles and Footnotes
- Customizing PROC PRINT Output with the STYLE= Option
- Customizing PROC REPORT Output with the STYLE= Option
- Customizing PROC TABULATE Output with the STYLE= Option
- Adding Traffic-Lighting to Your Output
- Selected Style Attributes
Modifying and Combining SAS Data Sets
- Modifying a Data Set Using the SET Statement
- Stacking Data Sets Using the SET Statement
- Interleaving Data Sets Using the SET Statement
- Combining Data Sets Using a One-to- One Match Merge
- Combining Data Sets Using a One-to- Many Match Merge
- Merging Summary Statistics with the Original Data
- Combining a Grand Total with the Original Data
- Updating a Master Data Set with Transactions
- Using SAS Data Set Options
- Tracking and Selecting Observations with the IN= Option
- Writing Multiple Data Sets Using the OUTPUT Statement
- Making Several Observations from One Using the OUTPUT Statement
- Changing Observations to Variables Using PROC TRANSPOSE
- Using SAS Automatic Variables
Writing Flexible Code with the SAS Macro Facility
- Macro Concepts
- Substituting Text with Macro Variables
- Creating Modular Code with Macros
- Adding Parameters to Macros
- Writing Macros with Conditional Logic
- Writing Data-Driven Programs with CALL SYMPUT
- Debugging Macro Errors
Using Basic Statistical Procedures
- Examining the Distribution of Data with PROC UNIVARIATE
- Producing Statistics with PROC MEANS
- Testing Categorical Data with PROC FREQ
- Examining Correlations with PROC CORR
- Using PROC REG for Simple Regression Analysis
- Reading the Output of PROC REG
- Using PROC ANOVA for One-Way Analysis of Variance
- Reading the Output of PROC ANOVA
- Graphical Interfaces for Statistical Analysis
Exporting Your Data
- Methods for Exporting Your Data
Frequently Asked Questions
Trainer
Our Data Science with SAS Trainers
- Have more than 10 Years of experience in Data Science with SAS Technologies
- Has worked on multiple realtime Data Science with SAS projects
- Working in a top MNC company in Bangalore
- Trained more than 2000+ Students so far.
- Strong Theoretical & Practical Knowledge
- Certified Professionals
Our Data Science with SAS Placement Team
- Has Trained & Placed 2000+ Students
- 92% percent Placement Record
- 1000+ Interviews Organized
Our Data Science with SAS Training centers
- Bangalore Center
- Marathalli Center
- White Field Center
- K R Puram Center
- BTM Center
- Cunningham Road Center
- J P Nagar Center
- Kammanahalli Center
- Ganga Nagar Center
- Koramangala Center
- Vijaya Nagar Center
- Malleswaram Center
- Ramamurthy Nagar Center
- Indira Nagar Center
- Jaya Nagar Center
- Richmond Road Center
- Rajaji Road Center
- Mathikere Center
Data Science with SAS Regular Batch ( Morning, Day time & Evening)
- Seats Available : 8 (maximum)
Data Science with SAS Weekend Training Batch (Saturday, Sunday & Holidays)
- Seats Available : 8 (maximum)
Data Science with SAS Fast Track batch
- Seats Available : 5 (maximum)
Data Science with SAS Online batch
- Seats Available : 5 (maximum)
Course
Our Data Science with SAS Course Duration is
- Approximately 40 Hrs, Interactive & Practical Training Sessions
- Assignments & Projects will be ProvidedÂ
Data Science with SAS Course is Suitable for
- Windows administrators
- Software developers
- Unix system administrators
- Database administrators
- Solutions architects
- Technical support executives
- And anyone who is interested in Devops.
Both are great but are suited for different categories of people. So, those who are time- pressed, are employed, or are busy otherwise, can benefit from online training. It will save time, and trainees will be able to utilize their idle time by taking lessons. There are other benefits too. For instance, they don’t need to be physically present at their training Centre, which not just saves time but also money. This is also helpful when there is no training Centre nearby to enroll for classroom training. Having said that, classroom training has its own upsides too, which we all know of. So, go for whatever suits you best.
- We have excellent trainers for Data Science with SAS with rich experience in industry.
- 100% student satisfaction rate in Data Science with SAS training
- More than 1000 students completed training in Data Science with SAS
- Excellent Lab facility for DevOps Training
- We have excellent rating till date, overall 4.9 Rating in Google & Facebook.