Data Science with SAS Training in Marathahalli, Bangalore
Build Job-Ready Data Science Skills Through Hands-On Training
Learn to analyze, model, and report on data using SAS through a structured, practical learning approach. Develop expertise in Base SAS, SAS Macros, Statistical Analysis, Predictive Modeling, and SAS Enterprise Guide through real-time labs, hands-on exercises, and industry-relevant case studies.
Real time industry trainers
Certificate on completion
Classroom + online available
Flexible batch timings
Where Data Science with SAS Skills Take You
Data Science with SAS isn't tied to one industry or one type of company. Banking, insurance, pharmaceuticals, and healthcare companies all rely on SAS for regulated, audit ready data analysis, which means the skills you build here transfer across sectors, not just one job market. This course is structured around the complete SAS analytics workflow, from data manipulation and statistics through predictive modeling and reporting, so what you learn maps to what SAS analysts and data scientists actually do day to day.
Runs across every regulated, data heavy industry
Banking, insurance, pharmaceuticals, and healthcare companies rely heavily on SAS for compliance driven analytics, so your skills aren't locked to one sector.
The industry standard in regulated analytics
SAS remains the preferred platform in banking, insurance, and pharma because of its audit trail, validation standards, and long track record in regulated environments, keeping demand steady in these high paying sectors.
Enterprise recognized skillset
SAS is used by global enterprises, government bodies, and Indian conglomerates alike, making the skill portable across company size and geography.
Salary data, sourced
A certified entry level SAS Analyst or Data Science Associate can realistically expect an average starting package scaling between ₹3.5 to 6 LPA across major technical hubs, moving to ₹7 to 13 LPA within 1 to 2 years and ₹14 to 22 LPA with 2 to 4 years of experience.
Work With Professional SAS Analytics Tools
Learn the SAS tools, programming techniques, statistical methods, and reporting capabilities used in real-world data analytics and statistical analysis roles.
Module by Module Data Science with SAS Syllabus
This Data Science with SAS course in Bangalore covers everything from SAS programming fundamentals to statistical modeling and predictive analytics, structured across 10 modules with hands-on labs throughout.
Introduction to SAS and Base SAS
- Overview of data science and the role of SAS in analytics
- Installing and navigating SAS Enterprise Guide
- SAS windows: Editor, Log, and Output
- Writing your first SAS program
SAS Data Step Programming
- Reading raw data and creating SAS datasets
- Data step fundamentals: SET, INPUT, and OUTPUT statements
- Creating and modifying variables
- Conditional processing with IF-THEN-ELSE
Data Manipulation and Cleaning
- Sorting and merging datasets with PROC SORT and MERGE
- Handling missing values and outliers
- String and date functions in SAS
- Preparing data for analysis
PROC SQL for Data Querying
- Writing SELECT queries in PROC SQL
- Joins, subqueries, and set operators in SAS
- Creating and modifying tables with PROC SQL
- Combining PROC SQL with Data Step logic
Descriptive Statistics and Data Exploration
- Summarizing data with PROC MEANS and PROC FREQ
- Exploring distributions with PROC UNIVARIATE
- Creating frequency tables and cross tabulations
- Identifying patterns and data quality issues
Data Visualization in SAS
- Creating charts and graphs with SAS/GRAPH
- Building visual reports with PROC SGPLOT
- Customizing plots: titles, labels, and formats
- Presenting insights visually
Inferential Statistics and Hypothesis Testing
- Formulating null and alternative hypotheses
- t-tests, chi-square tests, and ANOVA in SAS
- p-values and statistical significance
- Applying hypothesis tests to real datasets
Regression and Predictive Modeling
- Linear regression with PROC REG
- Logistic regression with PROC LOGISTIC for classification problems
- Model assumptions and diagnostics
- Evaluating model performance
SAS Macros and Automation
- Introduction to macro variables and macro programming
- Automating repetitive analysis with macros
- Conditional and looping logic in macros
- Building reusable macro programs
Real Time Project and Interview Preparation
- Building an end-to-end data science project from raw data to insights
- Reporting and presenting findings with PROC REPORT and ODS
- Common SAS and data science interview questions
- Resume building and project documentation guidance
Who Should Join This Data Science with SAS Course

Choose a Batch That Fits Your Schedule
This Data Science with SAS course in Bangalore with placement support is offered across multiple batch formats, all covering the same curriculum with hands-on lab exercises and live projects.
Ideal for freshers and full time learners.
- 1 to 2 hrs/day · Mon to Fri
- Morning and evening slots
- 8 to 10 weeks total
- Max 20 students
Best suited for working professionals.
- 2 to 3 hrs/session · Sat to Sun
- No clash with office hours
- 10 to 12 weekends total
- Max 20 students
Learn From Professionals With Real-World Experience
MNP's Data Science with SAS trainers are seasoned analytics practitioners with over 8 years of industry experience across SAS programming, statistical analysis, and regulated reporting. Every session is built around real live project work and the kind of questions that come up in SAS analyst and data scientist interviews.
Data Science with SAS Lead Consultant10+ years in statistical analysis, SAS programming, and analytics training
Predictive Modeling SpecialistExpert in regression, classification, and model validation techniques
SAS Reporting and Automation ExpertSpecializes in SAS macros, PROC REPORT, and regulated reporting standards
Turn Your SAS Skills Into Career Opportunities
Our Data Science with SAS training in Bangalore with placement support includes:
Resume building with Data Science and Analytics specific templates
Mock technical interviews with real SAS and statistics interview questions
LinkedIn profile optimization
Direct referrals to hiring partners actively seeking SAS professionals
Weekly job notifications for SAS Analyst, Data Scientist, and Business Analyst roles in Bangalore
Offer letter and salary negotiation guidance
What Our Data Science with SAS Students Say
These are real students who trained at MNP Technologies and went on to secure SAS Analyst and Data Scientist roles across Bangalore.
Frequently Asked Questions
What is the difference between Data Science with SAS and Data Science with R or Python?

Ans: SAS is a licensed, enterprise platform widely used in regulated industries like banking, insurance, and pharma for its audit trail and validation standards. R and Python are open source languages popular in tech companies and research. Many of the underlying statistical and modeling concepts transfer across all three, but SAS skills specifically open doors in industries that require regulatory compliance.
Is this Data Science with SAS course suitable for freshers with no prior programming experience?

Ans: Yes. The course starts with SAS basics and Data Step programming before moving into statistics and predictive modeling, so freshers with basic computer knowledge can follow along comfortably.
Do I need a strong mathematics background to learn data science with SAS?

Ans: A basic comfort with numbers helps, but you don't need an advanced mathematics background. The course builds the required statistical concepts, distributions, hypothesis testing, and regression, step by step as part of the curriculum.
What starting salary can an entry level Data Science with SAS professional expect in India?

Ans: A certified entry level SAS Analyst or Data Science Associate can realistically expect an average starting package scaling between ₹3.5 Lakhs to ₹6 Lakhs per annum (LPA) across major technical hubs.
Why is SAS still relevant given the popularity of open source tools like Python and R?

Ans: SAS remains the preferred platform in heavily regulated industries, banking, insurance, and pharmaceuticals, because of its strong compliance track record, validated procedures, and long standing enterprise support. Many analytics teams use SAS alongside open source tools depending on the project.
Will I get hands-on practice with real datasets during this course?

Ans: Yes. Practical mastery requires direct hands-on practice cleaning, analyzing, and modeling real datasets in SAS, culminating in a real time end to end data science project.
What kind of job roles can I apply for after this course?

Ans: Graduates typically enter the market as SAS Analyst, Junior Data Scientist, Clinical Data Analyst, and Statistical Analyst.
What is the duration of the Data Science with SAS program at MNP Technologies?

Ans: The comprehensive, practical Data Science with SAS learning track spans a total duration of 70 to 90 hours of structured training and lab simulations, depending on batch type and pace.
Is there Data Science with SAS training in Marathahalli?

Ans: Yes, MNP Technologies conducts classroom Data Science with SAS training in Marathahalli, Bangalore, alongside live online Data Science with SAS training available across India, both capped at a maximum of 20 students.

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