Certification in Predictive Analytics
➤Comprehensive curriculum on Predictive Analytics, Base SAS & Advanced SAS
➤Hands-on learning through Case Studies, Data Sets and Live Project Work
➤100% Career Assistance – Resume Building and Interview Prep
➤Clear Two International SAS Certifications
Learn More About The Program
Online Instructor-Led Training
Online Self Paced Videos
Speak to a Career Advisor
Practical and hands-on, and endorses the use of live case studies and real-life business problems
Prepares you to clear two internationally renowned certifications: Base and Advanced SAS
Choose from three delivery modes: Classroom training, Online Instructor-led training, Self-paced videos
Job Ready Program
Placement assistance via resume building and interview prep
CurriculumThe program comes with a rigorous industry-aligned curriculum, using a practical hands-on learning methodology to prepare you for Base and Advanced SAS certification exams, along with a detailed understanding of Predictive Modelling using SAS. Candidates need to complete the basic module, and may choose between Module 1 and Module 2.
Introduction to SAS and SAS Programs
- What is SAS?
- Key Features
- Submitting a SAS Program
- SAS Program Syntax
Reading and Manipulating Data
- Reading SAS Datasets
- Reading Excel Data
- Reading Raw Files
- Combining Datasets
- Do Loop Processing
- Conditional Do Loop Processing
- SAS Array Processing
- Using SAS Arrays
Accessing, Reporting and Formatting Data
- Accessing SAS Libraries
- Sorting and Grouping
- Reporting Data
- Using SAS Formats
- Writing Observations
- Writing to Multiple Datasets
- Accumulating Total
Resume Building & Interview Prep
- The Why, The What and the How of Resumes
- Personal Branding
- Tips and Resources
- Interview Skills
- Reading Formatted Input
- Character and Numeric Functions
- Converting Variable Type
- Mean, Median, S.D., Outliers, Statistical Graphs
- Define Variable, Type of Variables
- Measures of Central Tendency and Dispersion
- Normal Distribution
- What is Regression Analysis
- Linear and Logistics Regression
- Statistics Associated with Regression
- Examination of Residual
- Multi Collinearity
- Introduction to Pattern Discovery
- Hierarchical Clustering, K-Means Clustering
- Association Mining
- Market Basket Analysis
- Define : Sample and Population
- Formulate the hypothesis
- Calculate test statistics
- Compare the probability and make decision
- Decision Trees and Neural Networks
- Formulate the Model
- Estimate the Parameters
- Check the Prediction Accuracy
Predictive Modelling Continued…
- Introduction to Predictive Modelling with Neural Networks and Other Modelling Tools
- Model Assessment
- Model Implementation
- Check the Prediction Accuracy
Parametric Tests and ANOVA
- T Test, P Values
- Chi Square Test
Introduction to Advanced SAS Features
- Purpose of the Macro Facility
- Program Flow
- Inner Joins
- Outer Joins
- Complex SQL Joins
Using Data Step Arrays
- Introduction to Lookup Techniques
- Using One and Multi Dimensional Arrays
- Loading a Multidimensional Array using Datset
- Introduction to Macro Variables
- Automatic Macro Variables
- User Defined Macro Variables
- Macro Variable Reference
- The Union
- Outer Union
- Intersect Operator
Using Data Step Hash and Hiter Objects
- Using Hash Object Methods
- Loading a Hash Object using a SAS Dataset
- Using Data Step Hiter Object
- Defining and Calling Macros
- Macro Parameters
- Global and Local Symbol Table
Creating Tables and Views
- Creating Tables and Views using Proc SQL
Combining Data Horizontally
- Data Step Merges and SQL Procedure Joins
- Using an Index
- Combining Summary and Detailed Data
- Combining Data Conditionally
Data Step and SQL Interfaces
- Creating Macro Variables in the Data Step
- Creating Macro Variables in SQL
- Macro Programs
- Reporting Computer Resource Interpreting Resource Usage Statistics in Your Operating Environment
- Benchmarking Resource Usage
Expert Programmer Techniques
- The Expert Format Procedure
Introduction to SQL
- Introduction to SQL
- How Does RDBMS Work?
Controlling I/O Processing and Memory
- SAS Data Step Processing
- Controlling I/O
- Reducing Length of Numeric Variables
- Compressing SAS Datasets
- SQL Procedures
- Specifying Columns
- Specifying Rows
- Creating a Sample Dataset
- Creating an Index
- Using an Index
Displaying Query Results
- Presenting Data
- Summarizing Data
Training MethodologyWith a strong emphasis on ‘learning by doing’, our programs are developed with the goal of creating well-rounded, job-ready professionals that set you apart from your peers during interviews and on the job.
STEP 1: INSTRUCTION
Flexible Delivery: Classroom training, Online Instructor-led training, or Self-paced videos. The Classroom and Online Instructor-led training formats come with 15 hours of engaging instructor videos. The third mode, Self-paced Videos, comes with 24 hours of engaging instructor videos that you can consume at your own pace.
STEP 2: EXPERIENTIAL LEARNING
Practical Learning: The entire program is extremely practical and hands-on, and endorses the use of live case studies and real-life business problems. The program is designed and taught by experienced industry professionals who have 15+ years of experience to ensure you learn exactly what the industry demands and requires.
STEP 3: REINFORCEMENT
Assessments: Each topic is followed by Quizzes, Tests and Assignments that help understand and internalize key concepts.
STEP 4: TECHNOLOGY AIDED
Centralized Learning: Manage your performance across the program through a state-of-the-art learning management system.
24/7 SupportGet 24/7 access to your course material on our state of the art learning management system; extended access to all course material after the batch ends, and a dedicated student hotline with extensive support to help resolve queries.
CareersThe Career Assistance Services (CAS) team works hand in hand with you to further your career aspirations. We thoroughly prepare you to be interview-ready through resume building sessions and interview preparation workshops, and provide you with interview opportunities with leading Financial Services firms.
“To give an edge to my profile and to make a transition, I had enrolled myself in the SAS training. The training was for about 3 months. Not only did the training provide us with excellent hands on, it also gave us an exposure to the analytics industry.
– Poorthi Mehta
The Institution is pretty good in terms of curriculum and the professors here are the expert in their particular subjects. Prof. Arun Upadhyay has tremendous knowledge of SAS and has taught us very well. If looking for a career option in data science one must join the DSP course here.
– Madhuri Ingale
I am enrolled at Imarticus Learning for CSAS (CSAS-13). By far it has been a great learning experience. Enjoyed every bit of knowledge delivered to me. Highly experienced trainers and courteous staff describes Imarticus Learning. Kudos to you guys and a big Thank you.
– Pranay Ginvir
In Business Analytics
SAS is the leader in business analytics software and services, and accounts for 36.2 percent of the market as of 2012. It is the 5th largest market-share holder for Business Intelligence (BI) software. Founded more than 36 years ago, SAS is used at more than 60,000 sites in over 135 countries, including 90 of the top 100 companies on the Fortune Global 500® list.
An Integrated Analytics Platform
SAS provides an integrated set of software products and services and integrated technologies for information management, advanced Analytics and reporting. This provides users an end-to-end solution across the entire Analytics cycle.
SAS has received multiple awards, such as the Best for Business Analytic Software in Wealth & Finance International’s Finance Awards 2014,and was included in the Gartner Leader’s Quadrant for Data Integration Tools and Analytical Platforms. Also, SAS has been voted Best Analytics Platform in the market by Reference Data Review, the leading publication on data management technology.
Business Solutions Across Domains
SAS provides unmatched domain specific industry focused Analytics solutions. These domains are Customer Intelligence, Financial Intelligence,Security Intelligence,Governance, Risk & Compliance, Information Management and Risk Management across industries such as Financial Services, Insurance, Government, Health Care, Hospitality, Life Sciences, Manufacturing and Retail.
Industry AdvisorsThe program is developed in consultation with senior Industry experts to ensure a high degree of relevance in accordance to the needs and demands of the industry.
AdmissionsThe program is ideal for students and professionals who are interested in working in the analytics industry and are keen on enhancing their technical skills.
With less than 4 years experience, looking to up-skill or change career paths
Recent Post Graduates
Bachelors or Masters in Science, Math, Statistics or Computer Applications/IT
Those looking to enhance their resumes with a industry endorsed certificate
Arun has over 14 years experience in Information Technology and has conducted SAS training for Infosys, Wipro, IBM, Genpact, ICICI Bank, Reliance Mutual Fund among others. Arun is a certified, accredited IT professional who has successfully trained more than 10,000 students in different technologies like SAS and R. He has previously worked as a trainer for companies such as Aptech, NIIT, Ultramax Infonet Education Pvt. Ltd., and Vistaar Systems Pvt. Ltd. He has cleared many international Microsoft certifications such as MCAD, MCPD, MCTS etc. and is also a Microsoft-certified trainer.
What is the format of the program?
Class times for both formats are fixed and you are required to be available for your classes at a predefined time each week. Both formats come with 15+ hours of engaging Instructor videos that you can watch as per your convenience before attending your lecture (be it in class or virtually).