COURSE DESCRIPTION

Data Science: An evolutionary field of study and research.

Data Science is evolving rapidly and becoming one of the most desired academic disciplines of the 21st century. As the need for the data artisan grows, there is demand for more skilled and trained professionals across industries. In an endeavor to bridge the gap, Scholars University offers Postgraduate Certificate Program in Data Science delivered by industry research experts and practitioners.

WHY IS DATA SCIENCE SO IMPORTANT TO INDUSTRIES?

Most important decisions are made with only partial information and uncertain outcomes. However, the degree of uncertainty for many decisions can be reduced sharply by public access to large data sets and the computational tools required analyzing them. Data-driven decision making has already transformed a tremendous breadth of industries, including finance, advertising, manufacturing, and real estate. At the same time, a wide range of academic disciplines is evolving rapidly to incorporate large-scale data analysis into their theory and practice. Studying data science enables individuals to bring these techniques to bear on their work, their scientific endeavors, and their personal decisions. Critical thinking has long been a hallmark of a rigorous education, but critiques are often most effective when supported by data. Data science provides the means to make precise, reliable, and quantitative arguments about any set of observations. With unprecedented access to information and computing, critical thinking about any aspect of the world that can be measured would be incomplete without the inferential techniques that are core to data science.

DATA SCIENCES COURSES

You must take four required courses for a total of 8 units from the listed courses below. Students who are new to data analysis should begin with overview of Data Sciences and Analytics

FOUNDATION COURSES:

(You are required to take this course to proceed the certificate in Data Science program)

DS101 Introduction to Big Data Concepts, Hadoop, NoSQL and R

Credit: 2 Units

CORE COURSES:

You can choose any courses from this list to meet the total units requirement for Data Science certification. Make sure the courses you choose must meet the pre-requisites, check with individual course for this requirements.

DS102 – Comprehensive Study on Hadoop Two units (30 hours-Real time virtual learning)

DS103 – Managing Data on NoSQL Two units (30 hours-Real time virtual learning)

DS104 – Big Data/Advanced Analytics Using R Two units (30 hours-Real time virtual learning)

ELECTIVE COURSES:

You can choose any courses from this list to meet the total units requirement for Data Science certification. Make sure the courses you choose must meet the pre-requisites, check with individual course for this requirements.

DS105 – IoT Concepts, Platform, Use cases & Analytics Two units (30 hours-Real time virtual learning)

Hands on Java and Python Programming for Beginners Two units (30 hours-Real time virtual learning)

EC901 Cloud Computing Deployment Two units (30 hours-Real time virtual learning)

EC902 – Cloud Infrastructure Security Two units (30 hours-Real time virtual learning) Courses offered are delivered online, real-time and virtual learning management platform. This enables you to learn in the most collaborative and participative environment globally.

COURSE PRE-REQUISITES

There are no formal prerequisites for the Professional Certificate Program in Data Science, but it is strongly recommended that you have University-level mathematics, understand statistics and possess basic computer skills. We recommend this course for minimum of 300 Level University undergraduate.

COURSE FORMAT

The curriculum comprises 4 required courses for a total of 8 units (120 hours of instruction). You must take all courses for a letter grade.

To receive the Award of Completion, you must maintain an overall minimum 2.0-grade point average, with a grade of C or better (no C-minus grades) in each course.

All coursework must be completed within two years of registering for the program.