Course description

  • Why learn Data Science with SAS?

    SAS is the leading Data Science Platform in the 2017 Gartner Magic Quadrant. A Business Intelligence Developer who is proficient in SAS can earn an average salary of $104k according to the estimates of Paysa.

  • What are the course objectives?


    Candidates can excel in analytics techniques using SAS data science tools by taking Simplilearn’s Data Science with SAS training course in Mumbai. The course provides a comprehensive understanding of the graphic user interface (GUI) as well as analytics. It further explores the need for macro variables, select statements and joins in SQL, and combining dataset methods. This SAS training course also focuses on data analysis methods to solve real-world business problems and predictive modeling techniques; advanced statistical concepts like decision trees, linear regression, and clustering; and how to apply optimization and data manipulation techniques.

  • What skills will you learn in this SAS Training?

    Simplilearn’s Data Science with SAS online training course in Mumbai allows the candidate to:

    • Understand various time series models and work on those using SAS
    • Gain an in-depth understanding of the various types of Macro variables, Macro function SYMBOLGEN System options, SQL clauses, and the %Macro statement
    • Understand PROC SQL, its syntax, and master the various PROC statements and subsequent statistical procedures used for analytics including PROC UNIVARIATE, PROC MEANS, PROC FREQ, PROC CORP, and more.
    • Gain an in-depth understanding of statistics, hypothesis testing, and advanced statistical techniques like clustering, decision trees, linear regression, and logistic regression
    • Understand the role of data scientists, various analytics techniques, and widely used tools
    • Model, formulate and solve data optimization by using SAS and OPTMODEL procedure
    • Learn and perform data exploration techniques using SAS
    • Understand the power of SAS Macros and how they can be used for faster data manipulation and for reducing the amount of regular SAS code required for analytics
    • Learn the various techniques for combining and modifying datasets like concatenation, interleaving, one-to-one merging and reading. You will also learn the various SAS functions and procedure for data manipulation
    • Gain an understanding of SAS, the role of GUI, library statements, importing and exporting of data and variable attributes

  • Who should take this SAS Certification Course?


    Simplilearn’s Data Science with SAS training course in Mumbai is perfect for professionals looking out to make a career in the constantly growing field of Data Science. Data Scientists having in-depth knowledge of analytics techniques using SAS are in huge demand. The following professionals can take this Data Science with SAS course:

    • Experienced professionals who would like to harness data science in their fields
    • Software developers interested in pursuing a career in analytics
    • Analytics professionals who want to work with SAS
    • Graduates looking to build a career in analytics and data science
    • IT professionals looking for a career switch in the fields of analytics

    Candidates require no previous experience to enroll for this course. To brush up the candidate's coding knowledge, Simplilearn provides an additional SAS Base Programmer course free of cost.

  • What projects are included in this course?


    Theoretical knowledge is a small aspect of Simplilearn’s SAS Certification training course. Hence, we provide four real-life, industry-oriented projects for the candidates. It is mandatory for the candidates to complete one of the given projects to get certified.

    Project 1: Attrition Analysis

    Telecommunication: Analyze the employee attrition rate of a leading BPO company. The dataset is maintained for the attrition analysis, and it has records of employee_id, retain_indicator, sex_indicator, relocation_indicator, and marital_status.

    Project 2: Retail Analysis

    E-commerce: Forecast sales based on the independent variables such as profit, quantity, marketing cost, and expenses using the regression model.

    Simplilearn helps the candidate’s practice by providing two additional projects mentioned below:

    Project 3: Data-driven Macro Calls

    Sales: Generate a list of all data sets in SAS which have sales-related information and pass it on as the macro variable.

    Project 4: Customer Segmentation

    Internet: Perform customer segmentation with RFM methodology on an e-commerce website’s customer data set. Segment customers based on frequency, recency, and monetary value.

  • What are various career opportunities for SAS Certification trained Data data scientists?

    SAS Certified Data science professionals can get ahead in their career working as a:

    • Statistical and clinical data management programmer
    • Data analyst
    • Data scientist
    • Programmer Analyst
    • Cyber defense data scientist
    • SAS Programmer

Course preview

    • Lesson 00 - Course Introduction 04:21
      • 0.1 Introduction04:21
    • Lesson 01 - Analytics Overview 07:26
      • 1.1 Introduction00:55
      • 1.2 Introduction to Business Analytics02:04
      • 1.3 Types of Analytics
      • 1.4 Areas of Analytics02:46
      • 1.5 Analytical Tools00:50
      • 1.6 Analytical Techniques
      • 1.7 Quiz
      • 1.8 Key Takeaways00:51
    • Lesson 02 - Introduction to SAS 18:47
      • 2.1 Introduction00:40
      • 2.2 What is SAS02:34
      • 2.3 Navigating in the SAS Console01:47
      • 2.4 SAS Language Input Files01:55
      • 2.5 DATA Step
      • 2.6 PROC Step and DATA Step - Example01:44
      • 2.7 DATA Step Processing03:51
      • 2.8 SAS Libraries03:00
      • 2.9 Demo - Importing Data01:15
      • 2.10 Demo - Exporting Data00:59
      • 2.11 Knowledge Check
      • 2.12 Assignment
      • 2.13 Quiz
      • 2.14 Key Takeaways01:02
    • Lesson 03 - Combining and Modifying Datasets 35:10
      • 3.1 Introduction00:29
      • 3.2 Why Combine or Modify Data00:55
      • 3.3 Concatenating Datasets08:14
      • 3.4 Interleaving Method03:05
      • 3.5 Knowledge Check 1
      • 3.6 One - to - one Reading03:09
      • 3.7 One - to - one Merging02:57
      • 3.8 Knowledge Check 2
      • 3.9 Data Manipulation06:51
      • 3.10 Modifying Variable Attributes03:57
      • 3.11 Assignment 1
      • 3.12 Assignment 1 Solution01:04
      • 3.13 Assignment 2
      • 3.14 Assignment 2 Solution03:50
      • 3.15 Activity
      • 3.16 Quiz
      • 3.17 Key Takeaways00:39
    • Lesson 04 - PROC SQL 20:42
      • 4.1 Introduction00:35
      • 4.2 What is PROC SQL01:56
      • 4.3 Retrieving Data from a Table
      • 4.4 Demo - Retrieve Data from a Table01:44
      • 4.5 Knowledge Check 1
      • 4.6 Selecting Columns in a Table04:28
      • 4.7 Knowledge Check 2
      • 4.8 Retrieving Data from Multiple Tables00:50
      • 4.9 Selecting Data from Multiple Tables03:36
      • 4.10 Concatenating Query Results02:28
      • 4.11 Activity
      • 4.12 Assignment 1
      • 4.13 Assignment 1 Solution01:47
      • 4.14 Assignment 2
      • 4.15 Assignment 2 Solution02:13
      • 4.16 Quiz
      • 4.17 Key Takeaways01:05
    • Lesson 05 - SAS Macros 18:07
      • 5.1 Introduction00:41
      • 5.2 Need for SAS Macros04:39
      • 5.3 Macro Functions01:41
      • 5.4 Macro Functions Examples03:03
      • 5.5 SQL Clauses for Macros00:59
      • 5.6 Knowledge Check
      • 5.7 The % Macro Statement01:27
      • 5.8 The Conditional Statement01:24
      • 5.9 Activity
      • 5.10 Assignment
      • 5.11 Assignment Solution03:29
      • 5.12 Quiz
      • 5.13 Key Takeaways00:44
    • Lesson 06 - Basics of Statistics 21:22
      • 6.1 Introduction00:42
      • 6.2 Introduction to Statistics02:31
      • 6.3 Statistical Terms02:29
      • 6.4 Procedures in SAS for Descriptive Statistics02:04
      • 6.5 Demo - Descriptive Statistics01:10
      • 6.6 Knowledge Check 1
      • 6.7 Hypothesis Testing01:56
      • 6.8 Variable Types01:56
      • 6.9 Hypothesis Testing - Process
      • 6.10 Knowledge Check 2
      • 6.11 Demo - Hypothesis Testing01:45
      • 6.12 Parametric and Non - parametric Tests00:51
      • 6.13 Parametric Tests03:05
      • 6.14 Non - parametric Tests00:46
      • 6.15 Parametric Tests - Advantages and Disadvantages01:10
      • 6.16 Quiz
      • 6.17 Key Takeaways00:57
    • Lesson 07 - Statistical Procedures 29:13
      • 7.1 Introduction00:44
      • 7.2 Statistical Procedures00:27
      • 7.3 PROC Means01:12
      • 7.4 PROC Means - Examples04:05
      • 7.5 Knowledge Check 1
      • 7.6 PROC FREQ01:56
      • 7.7 Demo - PROC FREQ01:23
      • 7.8 PROC UNIVARIATE02:16
      • 7.9 Demo - PROC UNIVARIATE01:27
      • 7.10 Knowledge Check 2
      • 7.11 PROC CORR01:21
      • 7.12 PROC CORR Options
      • 7.13 Demo - PROC CORR02:21
      • 7.14 PROC REG01:14
      • 7.15 PROC REG Options
      • 7.16 Demo - PROC REG01:43
      • 7.17 Knowledge Check 3
      • 7.18 PROC ANOVA01:30
      • 7.19 Demo - PROC ANOVA02:55
      • 7.20 Activity
      • 7.21 Assignment 1
      • 7.22 Assignment 1 Solution02:36
      • 7.23 Assignment 2
      • 7.24 Assignment 2 Solution01:08
      • 7.25 Quiz
      • 7.26 Key Takeaways00:55
    • Lesson 08 - Data Exploration 17:50
      • 8.1 Introduction00:41
      • 8.2 Data Preparation02:15
      • 8.3 General Comments and Observations on Data Cleaning00:43
      • 8.4 Knowledge Check
      • 8.5 Data Type Conversion04:39
      • 8.6 Character Functions
      • 8.7 SCAN Function01:17
      • 8.8 Date/Time Functions01:52
      • 8.9 Missing Value Treatment01:50
      • 8.10 Various Functions to Handle Missing Value
      • 8.11 Data Summarization01:22
      • 8.12 Assignment
      • 8.13 Assignment Solution02:23
      • 8.14 Quiz
      • 8.15 Key Takeaways00:48
    • Lesson 09 - Advanced Statistics 26:52
      • 9.1 Introduction00:41
      • 9.2 Introduction to Cluster03:30
      • 9.3 Clustering Methodologies
      • 9.4 Demo - Clustering Method03:07
      • 9.5 K Means Clustering02:06
      • 9.6 Knowledge Check
      • 9.7 Decision Tree04:01
      • 9.8 Regression04:47
      • 9.9 Logistic Regression04:06
      • 9.10 Assignment 1
      • 9.11 Assignment 1 Solution01:44
      • 9.12 Assignment 2
      • 9.13 Assignment 2 Solution01:59
      • 9.14 Quiz
      • 9.15 Key Takeaways00:51
    • Lesson 10 - Working with Time Series Data 23:23
      • 10.1 Introduction00:45
      • 10.2 Need for Time Series Analysis03:43
      • 10.3 Time Series Analysis — Options
      • 10.4 Reading Date and Datetime Values02:47
      • 10.5 Knowledge Check 1
      • 10.6 White Noise Process03:57
      • 10.7 Stationarity of a Time Series03:21
      • 10.8 Knowledge Check 2
      • 10.9 Demo — Stages of ARIMA Modelling05:47
      • 10.10 Plot Transform Transpose and Interpolating Time Series Data
      • 10.11 Assignment
      • 10.12 Assignment Solution02:09
      • 10.13 Quiz
      • 10.14 Key Takeaways00:54
    • Lesson 11 - Designing Optimization Models 11:47
      • 11.1 Introduction00:36
      • 11.2 Need for Optimization02:32
      • 11.3 Optimization Problems02:52
      • 11.4 PROC OPTMODEL04:18
      • 11.5 Optimization - Example 1
      • 11.6 Optimization - Example 2
      • 11.7 Assignment
      • 11.8 Assignment Solution00:32
      • 11.9 Quiz
      • 11.10 Key Takeaways00:57
    • Lesson 00 - Course Introduction 04:35
      • 0.1 Introduction04:35
    • Lesson 01 - Introduction to SAS Base Program 59:49
      • 1.1 Introduction00:57
      • 1.2 SAS Installation and Access01:51
      • 1.3 Opening SAS University Edition03:05
      • 1.4 SAS Input Statements02:15
      • 1.5 DATA Step Statement01:18
      • 1.6 Reading Data05:04
      • 1.7 Options Available in the Input Statement05:43
      • 1.8 SAS Libraries02:38
      • 1.9 Knowledge Check 1
      • 1.10 Combining Datasets01:17
      • 1.11 Concatenating Datasets08:07
      • 1.12 Interleaving Method03:13
      • 1.13 Knowledge Check 2
      • 1.14 One-to-One Reading03:16
      • 1.15 One-to-One Merging03:14
      • 1.16 Knowledge Check 3
      • 1.17 Data Manipulation00:53
      • 1.18 Delete and Group Observations04:52
      • 1.19 Modifying Variable Attributes03:54
      • 1.20 Access Excel Workbook02:54
      • 1.21 Assignment 1
      • 1.22 Assignment 1 Solution02:33
      • 1.23 Assignment 2
      • 1.24 Assignment 2 Solution01:31
      • 1.25 Quiz
      • 1.26 Key Takeaways01:14
    • Lesson 02 - Creating Data Structures 17:14
      • 2.1 Introduction00:47
      • 2.2 SAS Dataset03:04
      • 2.3 Knowledge Check
      • 2.4 Create and Manipulate SAS Date Values02:52
      • 2.5 YearCutOff Option02:48
      • 2.6 Export SAS Dataset03:02
      • 2.7 Controlling Observation and Variables02:24
      • 2.8 Activity
      • 2.9 Assignment
      • 2.10 Assignment Solution01:18
      • 2.11 Quiz
      • 2.12 Key Takeaways00:59
    • Lesson 03 - Managing Data 33:21
      • 3.1 Introduction00:51
      • 3.2 Proc Contents01:45
      • 3.3 Proc Datasets03:32
      • 3.4 Proc Sort01:28
      • 3.5 Knowledge Check 1
      • 3.6 Loop Statements08:46
      • 3.7 Data Type Conversion05:17
      • 3.8 Chararacter Functions
      • 3.9 SCAN function01:26
      • 3.10 Date Time Functions - Example03:05
      • 3.11 Knowledge Check 2
      • 3.12 SAS Arrays03:36
      • 3.13 Assignment
      • 3.14 Assignment Solution02:27
      • 3.15 Quiz
      • 3.16 Key Takeaways01:08
    • Lesson 04 - Generating Reports 28:53
      • 4.1 Introduction00:40
      • 4.2 Need for Reports03:21
      • 4.3 Proc Print04:30
      • 4.4 Knowledge Check 1
      • 4.5 PROC Means04:09
      • 4.6 Knowledge Check 2
      • 4.7 Proc Freq03:06
      • 4.8 Proc Univariate04:01
      • 4.9 Knowledge Check 3
      • 4.10 Proc Report01:48
      • 4.11 Output Delivery System (ODS)03:51
      • 4.12 Spot the Error
      • 4.13 Assignment
      • 4.14 Assignment Solution02:19
      • 4.15 Quiz
      • 4.16 Key Takeaways01:08
    • Lesson 05 - Handling Errors 13:01
      • 5.1 Introduction00:42
      • 5.2 Errors in SAS Program01:34
      • 5.3 Logical Errors04:44
      • 5.4 Syntax Errors03:25
      • 5.5 Data Errors01:47
      • 5.6 Spot the Error
      • 5.7 Quiz
      • 5.8 Key Takeaways00:49
    • Project 03:10
      • Project 01 Generate Descriptive Analytics Report
      • Project Solution 0103:10
    • Course Feedback
      • Course Feedback
    • Statistics Essential for Data Science 30:50
      • Statistics for Data Science30:50
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Exam & certification FREE PRACTICE TEST

  • How do I get certified?


    It is compulsory for the candidates to meet the following conditions to become a Certified Data Scientist with SAS:

    • Complete one project and get it assessed by the lead trainer by submitting the deliverables in the LMS.
    • Attempt and one simulation test out of the three and achieve at least 60% passing score.

    Please Note:

    Simplilearn awards a three-month experience certificate for using SAS in the project implementation after a candidate completes the course successfully.

  • What do I need to do to unlock my Simplilearn certificate?


    For Self-paced learning mode, candidates need to finish 85% of the course along with one assigned project and one simulation test achieving a 60% passing score.

    For Online Classroom mode, candidates need to attend one complete batch and submit one assigned project and one simulation test achieving a 60% passing score.

  • What are the prerequisites for learning SAS ?


    The Data Science with SAS training course requires no previous understanding of data statistics or analytics. Candidates with keen interest in Data Science can enroll for this course.

  • How much does this online course cost?


    The candidates need to pay INR 9999 for online self-guided learning (OSL). If they enroll in the live virtual classroom (LVC) then an amount of INR 21,999 or $599  is to be paid.

  • Is this course accredited?


    No, the Data Science with SAS course in Mumbai is not officially accredited.

  • How do I pass the Data Science with SAS Exam?

    Candidates need to complete one project and qualify one of the simulation tests with at least 60 (out of 100) passing score to pass the Data Science with SAS Exam.

  • How long does it take to complete this online training course?


    Simplilearn offers Online Self-Learning and Live Classroom training modes for the Data Science with SAS course. Both of the modes require nearly 98 hours to be completed.

  • How many attempts do I have to pass the Data Science with SAS exam?

    The candidates are allowed to appear for the Data Science with SAS exam twice. The next attempt can be taken immediately if the candidate fails in his first attempt.

  • How long does it take to receive the Data Science with SAS course certification?

    Simplilearn’s Data Science with SAS course completion certificate is awarded to the candidates who complete the training program of Data Science with SAS satisfactorily.

  • How long is the Data Science with SAS certification valid for?

    Simplilearn’s Data Science with SAS certification does not need renewal. It is valid for a lifetime

  • Do you offer a money-back guarantee for the training program?


    Yes, the training programs offered by Simplilearn comes with a money-back guarantee. Candidates need to go through the Refund Policy and then visit our Help and Support portal to generate the refund request.

  • How can I learn more about this training program?


    Simplilearn provides the options of Contact Us form and Live Chat for the candidates to get in touch with the customer service representatives and learn more about the Data Science with SAS training course in Mumbai.

    Course advisor

    Paul Sharkov
    Paul Sharkov Data Scientist at BMO Financial Group, Member of SAS Canada Community

    Paul is lead SAS Data Scientist at Bank of Montreal. As a SAS Certified Predictive Modeler, SAS Statistical Business Analyst, and SAS Certified Advanced Programmer, Paul is passionate about sharing his knowledge on how data science can support data-driven business decisions.

    Ronald van Loon
    Ronald van Loon Top 10 Big Data & Data Science Influencer, Director - Adversitement

    Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author for a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.


    Namita Das
    Namita Das Associate at JPMorgan Chase & Co., Mumbai

    I had enrolled with Simplilearn for Data Science with SAS course (self-learning). The content provided was very good and the explanation provided were simple to understand. I also got frequent meeting invites from Simplilearn to clear any doubts on project submission. Great way to add stars to your resume by taking up the certifications.

    Read more Read less
    Shyam Sunder
    Shyam Sunder President at Iwcl, Hyderabad

    The training was excellent. The trainer was well paced and very flexible. He was highly competent. The content was rich. I really enjoyed the training from Simplilearn.

    Read more Read less
    Lakshmi Saranya Gollapudi
    Lakshmi Saranya Gollapudi In-House Statistician at Sunshine Hospitals, Hyderabad

    Simplilearn is indeed a great platform to acquire the skills required for the fast-changing platform. The instructors, as well as the support group, are excellent. Apart from the course, you have enrolled, the instructors will acquaint with the correct usage of the technology mix. It has entailed me to learn things faster and enabled me to have the correct thought process that is required for aligning the technology with the business.

    Read more Read less
    Praveen Kumar
    Praveen Kumar Product Design & Development at Mytrah Energy, Hyderabad

    Everything about this course is perfect. The material is good. This certification helped to boost my career goals. I highly recommend Simplilearn.

    Read more Read less
    Norberto Bayaga
    Norberto Bayaga Software Engineer / Programmer at National Electrification Administration, Bangalore

    "It is a wonderful experience and the best educational course that I enrolled in Simplilearn. Very easy to go through, and all the guides and ebooks are on the site. It’s easy to plan and schedule the modules your learning and manage your workload at the same time your studies. Thank you support team for helping and assisting me in the course and providing assistance and updates on other courses. Wish you all the best.

    Read more Read less
    Hema Sankaran
    Hema Sankaran Business Analytics | Walgreen, Bangalore

    I was recognized instantly as an expert in Data Science within my organization. The course has provided me with an opportunity to establish myself as a strong candidate for the ongoing and future data projects. I have been able to suggest and recommend confidently based on the knowledge that I got from the course. It has been a great stepping stone as well in my career path.

    Read more Read less
    Aravind Naick
    Aravind Naick Project Manager at UST Global, Bangalore

    I already had some technology and project management experience and took this training to get an understanding of the analytics domain. This course is structured and designed well, it makes the concepts easy to grasp. The statistical input was the best part as it really changes the way you look at data. The projects were really interesting and I actually went ahead and completed 2 of them. Simplilearn support is good and all my queries were handled promptly. I have already recommended this training to my team.

    Read more Read less
    Shubham Gupta
    Shubham Gupta Analyst at Ernst & Young LLP, Bangalore

    The data scientist training is a must for someone who wants to build a career in this field. It is filled with real world examples and exercises which helped me gain a new perspective to the subject. I am from a non-coding background and I was able to follow the course content with ease. My firm is starting a data science division and this training has now made me eligible for the role of a data science consultant in the division. I am thankful to Simplilearn for all the help.

    Read more Read less
    Naveen N
    Naveen N Student at Xavier Institute Of Management and Enterpreneurship, Sivakasi

    Course was very good and I learned everything about data analysis from nothing. You can learn everything about SAS and Excel from this course.

    Read more Read less
    Deepak Subramanian
    Deepak Subramanian Sr.Engagement Manager at Capgemini, Chennai

    This exposure on SAS and Excel is a must before taking advanced course in analytics.

    Madhavi Sistla
    Madhavi Sistla Technical Architect at Cognizant Technology Solutions, Hyderabad

    The course was amazing. The trainer had a very good knowledge about the course. She was very clear in her explanations and engaging. She answered our questions patiently. These online classes made it easier to understand the concepts. Thank you Simplilearn!

    Read more Read less
    Deepak Sharma
    Deepak Sharma Account Delivery Manager at DXC Technology, Bangalore

    Simplilearn's Data Science certification is awesome. The basics are covered very nicely keeping in mind different students. Thank you Simplilearn.

    Read more Read less
    Antony Nirmal
    Antony Nirmal Big data and Hadoop Developer at QR Solutions, Chennai

    At a stage when I could not find a job and had lost hope in Engineering, as the last attempt I opted for Simplilearn's Big Data and Hadoop certification. As a Simplilearn certified Big Data Developer, I received job offers from multi-national companies in New Jersey, UAE, and Bangalore. I am now working as a Big Data and Hadoop Developer in QR Solutions, Trichy. Thank you Simplilearn.

    Read more Read less
    Kiran Dash
    Kiran Dash Data Warehousing at MindTree, Bangalore

    The session was nice. The course orientation and topic insight was very informative. I would definitely suggest this R programming to my colleagues. Thanks to the trainer for making this course so interesting.

    Read more Read less
    Frado Sibarani
    Frado Sibarani Senior IT Specialist at IBM, Singapore

    Good course and material. It has installation steps, demo, and real-life study case.


    • What is the average salary for a Data Scientist in Mumbai?


      According to Payscale, a median salary of Rs 715,000 per year can be earned by Data Scientists in Mumbai. By taking the Data Science with SAS Training program, there can be considerable improvement in the salary drawn by the employee.

    • What are the various SAS related roles available in Bangalore?

      Some of the roles that are available in Mumbai for the professionals who wish to go ahead with their career in Data Science & Business Intelligence domain are:

      • Lead Data Scientist
      • Data Science Operations
      • Data Science Technology Product Development

    • What are the top companies that offer sas related data science jobs in Mumbai?


      Professionals proficient in Data Science and Business Intelligence are in continuing demand in the companies of Mumbai such as Axis Bank, Board Infinity, Play Games24x7, and Connexons Web.

    • What are the System Requirements?


      Candidates need to visit the following page and install the SAS university edition to run SAS in their system:

      To run SAS, you need to download and install the SAS university edition from


    • What are the modes of training offered for this course?

      The SAS training offered by Simplilearn involves two training methods:

      • Online Self-Learning: This mode involves pre-recorded videos which the candidates can use for learning at their own comfort.

      • Live Virtual Classroom: These are live interactive sessions where the candidates can communicate with the trainers through video conferencing and get their queries resolved. This learning mode gives the option of better time management and improves the learning experience.


    • What if I miss a class?


      Simplilearn makes sure that the candidate’s learning is not affected by missing a class. For this, recordings of each class are provided to the learners for reference before the next class.

    • Can I cancel my enrolment? Do I get a refund?


      Yes, candidates are allowed to cancel their enrollment. After deduction the administration fee, a complete refund will be provided. Read our Refund Policy to know the details.

    • Who provides the certification?

      Simplilearn awards a certificate and acknowledges the candidate as a Certified Data Scientist with SAS when he:

      • Submit the project after completing the training and getting it assessed
      • Clears the online exam with a passing score of 75%

    • Are there any group discounts for classroom training programs?

      Yes, Simplilearn provides group discounts for its training programs. Our support team can be contacted for further details via our Help and Support option.

    • What payment options are available?


      Candidates need to pay online to get themselves enrolled in our Data Science with SAS course in Mumbai. The payment options available are:

      • American Express
      • PayPal
      • Visa Credit or Debit Card
      • Diner’s Club
      • MasterCard

      A receipt will be sent to the candidate via email once the payment is successful.

    • Who are our Faculties and how are they selected?


      Simplilearn appoints faculty who have high alumni rating and those with in-depth domain knowledge. The selection process is difficult and incorporates stages like profile screening, technical assessment, and training demo. Trainers even after completing the selection process should have a proven teaching experience of 12+ years to become the faculty at Simplilearn.

    • What is Global Teaching Assistance?

      We always strive to provide the best teaching assistance so candidates get certified in their first attempt. The subject matter experts engage participants in the proper flow of the course learning. From class onboarding to project mentoring, our trainers try to enhance your learning experience. Teaching assistance for the Data Science with SAS training course is available in working hours.

    • What is covered under the 24/7 Support promise?

      Simplilearn guarantees to provide 24/7 customer support through calls, emails, or chat options. We have also created a community forum with lifetime access where candidates can get the on-demand assistance regarding the topics of Data Science with SAS.

    • What is online classroom training?



      The online training classroom refers to the live training sessions conducted via high-quality video conferencing as part of the Data Science with SAS training program. During the sessions, the candidates can talk to the mentors and get their queries resolved.

    • Is this live training or will I watch pre-recorded videos?

      For self-paced e-learning, candidates need to complete the course by using pre-recorded videos. For online classroom training, Simplilearn uses live online streaming for conducting classes in addition to the pre-recorded videos to give the candidates an enhanced learning experience.

    • Are the training and course material effective in preparing me for the Data Science with SAS exam?

      The SAS for Data Science certification exam can be successfully cleared by the candidates who have undertaken Simplilearn’s Data Science with SAS training program and followed its course material.

    Our Mumbai Correspondence / Mailing address

    Simplilearn Solutions Pvt Ltd, 601, 6th Floor, Rupa Solitaire, Millennium Business Park, Plot No.A-1, Mahape, Navi Mumbai - 400710, Maharashtra, India, Call us at: 1800-102-9602

    • Disclaimer
    • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.