courses and several non-required electives. Electives are
available to students during the program to supplement the
learning experience, as well as optional pre-courses which
provide a brief review of programming language.
Through the mandatory courses, students will gain the
following:
- Knowledge of Big Data management of large datasets
and processing capabilities. - A strong foundation for analytical and statistical
concepts used in Python to become more familiar with
programming. - Data visualization techniques with Tableau, one of the
most popular Business Intelligence tools in the market. - Advanced-level training on Machine Learning
applications and algorithms. Additionally, hands-on
experience in multiple, highly sought-after machine
learning skills in both supervised and unsupervised
learning will be provided. - Last, students have the opportunity to gain insight into
various other topics and platforms: - Data Science with R
- Big Data Hadoop Administrator Course
- Python Basics
- Apache Cassandra
- Apache Kafka
- Apache Spark and Scala
- MongoDB Developer and Administrator
- Business Analytics with Excel
Program Mode and Industry Participation
The course is intended to provide students with the freedom
to choose their preferred delivery format. The university
offers self-paced video instruction, as well as live classes,
powered by WebEx virtual classrooms. Students can take
advantage of both for an optimal learning experience,
tailored to their own preferences and schedules within the
year allotted for access.
The curriculum is designed by industry leaders such as
Ronald van Loon and Alvaro Fuentes and delivered in
collaboration with the university’s online learning partner,
Simplilearn.Prerequisites for Aspiring Students
Students enrolling in this program are expected to have
at least one year of basic programming experience in
order to fully grasp the curriculum. Additionally, students
need the motivation and discipline to complete the self-
paced program and a reliable learning environment that
can accommodate online connectivity and the computer
hardware to access the appropriate software for projects
and hands-on learning activities.Target Audience for the Program
The Big Data and Data Science program is designed for
professionals who wish to develop a broad and in-depth
expertise in the spectrum of Big Data and Data Science
related technologies and gain multiple data-related
skills that are essential in the field of analytics. Some of
the professionals who can directly benefit are individuals
aspiring to become business/data analysts, project
managers, mainframe professionals, data warehouse
professionals, software developers, testers, or architects.30
THE 10 MOST PROMINENT ANALYTICS AND
DATA SCIENCE INSTITUTES IN 2019