Analytics on SAS

This course is intended towards data analytics as a whole. This comprises of data preparation and data manipulation (technically SAS Base). Moving a step further Analytics would be covered where statistics and various analytics techniques would be covered(technically SAS Analytics). Then we move for data insignts ,Macros and SQL (Technically Advance SAS).This will be project based workshop rather than just classroom training.Basic understanding of R & Python would also be provided.

  • 120 hours
  • 3000+
  • Basic
  • SAS Certified
Interested in this course?
Instructor Led
37,000
Online
37,000

Quick Stats

Organizations rank analytics as the #1 contributing factor for a competition driven growth and survival. SAS is currently the most demnading and the widely used tool across industry

The Analytics industry is observing a steep growth while others are finding hard to survive.This is the new revolution in data science as a whole 

Professionals with SAS Analytics certification make an easy platform for landing up in good role jobs. Freshers with certification are also given preference over others. Early entry in this field could take you far.

Benefits

SAS Analytics

Knowledge of data science ,predictive modeling ,machine learning and Statistical Techniques algorithms with data driven approach

Real time data driven projects

Development of analytical and decision-making abilities by examining real-life case studies and coming up with strategies and decisions 

Certification

Certification on SAS Analytics-Regression and Modeling is a great value-add for the student’s resume, which can help an individual pursue a promising career or a career growth

hands on model development

Industry recognized SAS Analytics-Regression and modeling certification from SAS after completion of the program.

Career Rise

Looking for switch, career growth, enhancement, upskill..This is the perfect module designed for the same. Take a step forward and be a part of the future drive

Who Should Attend

  • Engineering and IT Students – BTech / BE, BCA, MCA, BSc-IT, MSc-IT
  • Commerce & Finance Students - BCom / MCom, Economics Graduates, MBA or BBA
  • Highly recommended for people aspiring for jobs that required data handling – Research, Marketing, IT Services, Big Data & more
  • People who are already employed, but want to upskill themselves in the domain of Analytics
  • As a prerequisite, its just your passion towards data and hard work that is the only requirement,rest is just a cake-walk.

Course Outcome

  • Understanding of basic concepts and types of data
  • Understanding of sampling techniques
  • Data Science and Machine Learnig concepts with application
  • Understanding of frequency distributions and measures of central tendency, dispersion and shape
  • In Depth Knowledge of the Hypothests testing T-Test ANOVA 
  • In depth knowledge on Correlation and Regression
  • In depth Knowledge of Predictive modeling using Logistic Regression
  • Four live projects which is full hands on real time industrial data

Curriculum

Instructors

  • Vikhyat

    Chief Data Scientist

    Vikhyat is a Business Consultant and worked with prestigious companies like TCS, American Express, Mu Sigma in the past 10 years and has been working in the Analytics industry since the beginning of his career.

    He has worked for international and domestic markets markets as an expert in Predictive modeling and forecasting role in the field of Business Analytics. He co-founded PSTAn....
    Vikhyat is a Business Consultant and worked with prestigious companies like TCS, American Express, Mu Sigma in the past 10 years and has been working in the Analytics industry since the beginning of his career.

    He has worked for international and domestic markets markets as an expert in Predictive modeling and forecasting role in the field of Business Analytics. He co-founded PSTAnalytics in 2010, and has taken up the initiative to spread quality education

    He has worked extensively in domains such as Customer Segmentation , Market benchmarking, Customer profiling, Customer targeting, Credit card life cycle , generating Score card, Phases in clinical cycle,Market Research, Brand positioning, Building Go-to-market strategies, Pricing for clients in various sectors like BFSI, Healthcare,Automotive, Hi-tech, and Telecom. His day to day task include Credit Risk projects, propensity and attrition modeling, Credit risk score cards, Cross sell and Up sell Pre & Post campaign management.

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  • Lokesh

    Business Leader- Data Insights

    Lokesh is a Sr Programmer and worked with prestigious companies like Genpact, Target, American Express, in the past 8 years and has been working in the Data industry since the beginning of his career

    He has worked for international markets as an expert in data preparation and insights in the field of Analytics. He co-founded PSTAnalytics in 2010, and has taken up the initiative ....
    Lokesh is a Sr Programmer and worked with prestigious companies like Genpact, Target, American Express, in the past 8 years and has been working in the Data industry since the beginning of his career

    He has worked for international markets as an expert in data preparation and insights in the field of Analytics. He co-founded PSTAnalytics in 2010, and has taken up the initiative to spread quality education

    He has worked extensively in domains such as Retail ,Pharma , BFSI ,Healthcare,Automotive, Hi-tech, and Telecom. His day to day task include campaign management, production, Data Warehousing, ETL, and process development for batter insights and rapid delivery with precision

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FAQS

Is this a module or a complete course?

This is a complete course. Technically the course is Analytics on SAS for which we cover three modeules- SAS Base , SAS Analytics , SAS Advance

Is this a distance or online program?

This is an online program, available in 2 modes – Instructor-Led and self paced.

What is the difference between instructor led and self paced program?

In the self paced programme learners have to learn about the course on their own using the study materials provided to them after registration.There would be recorded videos which will be throughout this programme.

In the Instructor-led version, learners will be provided assistance of faculty who will take them through the course as a part of classrom/ live webinar mode.

In case if I missed a class?

Every class is recorded and In case you miss a class you can go through the recordings and let us know in case of doubts. You can even sit in other regular classes for the sessions that you missed 

Is there any option of face-to-face classes?

Yes, this is a classroom programme. In case you are not able able to make up for the class you can use the link to connect online through a webex link and can attend the same LIVE class without even coming to the class. 

What is the duration of Analytics program?

Its a weekend programme comprising 129 Hours. It would take 12 weeks or 3 months to cover the course in full.

You just need to spend not more than 30 minutes a day to become a successful Analyst.

What is the speciality of this course?

Our Analytics on SAS course is aligned to current industry requirements, uses latest tools and techniques and the curriculum of the course has been developed in consultation with industry practitioners.

Which certification will I be eligible for?

You would be eligible for SAS certifcation exam conducted by SAS with global recognition.

We will conduct exam prepration classes for the same and this is included as a part of this course

Does the fees also includes the SAS certification fees

The preparation classes are complimentary and the exam needs to be booked. The exam fees is not included as a part of the programme

How is this SAS certification different from the certificates provided by other institute

SAS certification is conducted by SAS and recognized globally. Upon successful completion your name appears on the website and anyone can check that. The certificates provided by institutes ae not recognized by any organizaion and hence not valid

Do I have to pay the re-exam fee, if I’m unable to pass in first attempt?

We guarantee this would not be the case.Untill now there has been no case like this.But if that happens we will refund the full fees. 

What about the projects

The projects four in number are industrial projects with real time data and not the mocked one. These are not a capstone project where you actually do not get a pretty idea how things work in industry. It will be hands on and live