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Certified Data Scientist Certification (R, SAS & Excel)

  Key Features
  • 3 Day Instructor-led intensive classroom training
  • Downloadable eLearning material
  • Real-life industry project experience
  • 15 Chapter-wise Quizzes


$1899.00   $1699.00
About Course

With MSys Big Data certification, become a certified data scientist and learn various data analytics techniques using platforms like R, SAS and Excel. Certified Data Scientist Certification offers the in-depth knowledge on the data visualization, data exploration, descriptive analytics techniques and predictive analytics. The data scientist certification is recommended for experienced professionals as well as beginners looking to use R, SAS and Excel for data analytics.


The Data Science with R, Excel and SAS certification has been designed to give understanding on the various data analytics techniques that can be implemented for the challenges in the analytics space. The course is packed with real-life projects and case studies. Our data scientist certification online training makes you familiar with R, which is widely used programing language in the data science big data analytics space. With its diverse community, data visualization tools and a wide range of statistical packages, R has become the favorite language of every data scientist.

MSys Data Science is structured in such a way that beginners can follow the course with ease. This data science training will make you an expert at understanding the problem, designing the analysis and applying predictive modelling techniques using R to derive business insights from data.


What you get with MSys?

On completion of training, you will:

  • Have understanding about the fundamentals of data science and its importance in making decisions.
  • Get expertise in R, SAS and Excel.
  • Understanding on use of data exploration, predictive modelling techniques and data visualization.
  • Use statistical concepts such as linear and logistic regression, forecasting and cluster analysis.
  • Data analysis to make business decisions and design a structured approach to use statistical techniques and R, SAS and Excel.


Who should attend Certified Data Science certification training?

Considering the booming demand for certified data scientists across industries MSys data science certification training is recommended for the following professionals:

  • Software professionals looking to switch career to analytics field.
  • Professionals working in Business and Data Analytics
  • Professionals seeking for harness data science in their fields
  • Aspirants looking to build a career in Analytics and Data Science
Exam and Certification

What are the prerequisites for Certified Data Scientist Certification?

There is no specific prerequisites to take the Certified Data Scientist Certification.


How can I get the Certified Data Scientist Certification?

In order to obtain the Certified Data Scientist Certification, you must fulfill the below criteria:

  • We at MSys Training gives you four projects, you need to complete atleast one of them within the maximum time allotted for the course. After completing the project, you need to email it to the lead trainer for evaluation. You can also submit your project through the LMS.
  • Need to pass the online exam with a minimum 80% score. In case, participants did not pass the exam in first attempt, they can re-appear for the exam.

On completion of course, you will receive an experience certificate specifying that you have three months experience in implementing Projects using R, SAS and Excel.


Exam Fee for Certified Data Scientist Certification

Exam Fee is included in course fee.


How can I enroll for the online training?

You can enroll for the online training through the company website or by calling 1-408-878-3078. Payments can be made using any of the following given options and a receipt of the same will be issued automatically via email.

  • Master Card
  • Visa debit/credit card
  • American express
  • PayPal
  • Diners
  • Purchase Order
  • Check
  • Wire Transfer

What do I get along with the training?
You will have access to the online e-learning course material and simulation test along with the training.

Will I be able to cancel my enrollment? Would I get a refund?
Yes, you can cancel your enrollment. We reimburse your complete fee after deducting the administration fee. To know more, you can go through our Refund Policy.

Do you provide money back guarantee for the training programs?
No, we don’t offer money back guarantee for Certified Data Scientist Certification program.

Will I be able to extend the access period?
Yes, you can extend the access period by paying an additional fee. Please raise a request via our Help and Support portal.

What type of projects will I get to work on?

With MSys Certified Data Scientist Certification training, you will get the opportunity to work on four real-life industry based projects in different domains, including Healthcare, Insurance, Retail, Internet, Music industry, Finance, Airline, etc. These projects are for R, SAS and Excel and one of them will be used for clearing the certification.

What are the System Requirements?
To install SAS University edition, the learner's system must meet the below requirements:

  • Linux; Microsoft Windows 7 or upper version; Mac OS X 10.8 or upper
  • 64-bit hardware with atleast 1GB of RAM
  • 10 GB free hard disk space
  • One of the following virtualization software packages:
    • Oracle VM VirtualBox
    • Microsoft Internet Explorer 9, 10 or 11
    • VMware Player 6.0 or later
    • Google Chrome 27 or later
    • Mozilla Firefox 21 or later
    • One of the following web browsers:
    • Apple Safari 6.0 or later

Introduction to Analytics

  • Analysis vs. Analytics
  • What is Analytics?
  • Role of Data Scientist
  • Popular Tools
  • Analytics Methodology
  • Summarizing Data
  • Problem Definition
  • Data Collection and Dictionary
  • Outlier Treatment

Statistical Concepts and Their Application in Organization

  • Descriptive Statistics
  • Tests of Significance
  • Probability Theory
  • Non-parametric Testing

Basic Analytic Techniques - Using R, SAS and Excel

  • Introduction
  • Data Exploration and Data Visualization
  • Diagnostic Analytics

Predictive Modelling Techniques

  • Linear and Logistic Regression
  • Cluster Analysis
  • Time Series Analysis
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