Bundle Plan

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This option gives you the choice to start bundling your courses per your requirements and needs. 



  • Analytics + Advanced Analytics

  • Analytics + Data Visualization

  • Analytics + Big Data


Learn Analytics on SAS Certification, Data Science using R, Machine Learning using Python, Data Visualization using Tableau with PST Analytics Classroom and Online subscription  Training And Certification Courses In Delhi, Gurgaon, Noida, and other Indian cities.


Analytics is the most demanding career and SAS Certification the  most widely authentication for Analytics knowledge. With this, we combine the power of Data science with R and Machine Learning on Python for an evolving volatile market. While SAS certification helps you in the entry Data Science on R & Machine Learning on Python helps you grow to adapt and evolve successfully.


Contact us now to know more about this course.

  • 200+ hours
  • 1200+
  • Easy to advance
  • sas certified
Interested in this course?
Instructor Led
50,000
120,000
Online
50,000
120,000

Quick Stats

Analytics is now a gamechanger and every organization is investing in Big data for better growth and sustainability

SAS Certification will help us enter into Analytics and build a bright future. R and Python help us adapt to new advancements towards evolution

Be it experienced professional or fresher every one of us must grow with a better vision. Adapt to Analytics R and Python for a healthy growth

Benefits

Analytics on SAS Certification- Complete programme

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

SAS Analytics Certification

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

Career Rise

Looking for the 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 Learning concepts with application
  • Understanding of frequency distributions and measures of central tendency, dispersion and shape
  • In-Depth Knowledge of the Hypothesis testing T-Test ANOVA 
  • In-depth knowledge of Correlation and Regression
  • In-depth Knowledge of Predictive modeling using Logistic Regression
  • Two live projects which are full hands-on real-time industrial data

Curriculum

FAQS

Is this a module or a complete course?

This is a complete course. Technically the course is Analytics on SAS Certification for which we cover five modules- SAS Base Certification, SAS Analytics Certification, SAS Advance Certification, R and Python

Is this a distance or online program?

This is an instructor-led workshop 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 classroom/ 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 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 40 Hours. It would take 10 weeks or 2 months to cover the module in full.

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

What are the speciality of this module?

Our Analytics module is aligned to current industry requirements, uses the 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 the SAS certification exam conducted by SAS with global recognition.

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

Does the fees also includes the SAS certification fees

The preparation classes are complimentary and the exam needs to be booked. The exam fees are 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 are not recognized by any organization and hence not valid

What about the projects

The projects are industrial projects with real-time data and not the mocked one. This is not a capstone project where you actually do not get a pretty Idea of how things work in Industry. It will be hands-on and live industrial data decision-making projects