The use of content of this portal is governed by the following terms and conditions:
A. The Intended Audience/ Target for the Portal
This portal is designed for individuals registered for various Big Data/ Data Science certification programs of the Data Science Council of America (DASCA).
The content appearing here has been written to assist, supplement and complement learning through providing examples, programming tests, practice problems, design situations and cases related to all aspects and topics of covered under the curricula of the following certification programs of DASCA:
Associate Big Data Analyst (ABDA™)
Senior Big Data Analyst (SBDA™)
Associate Big Data Engineer (ABDE™)
Senior Big Data Engineer (SBDE™)
Senior Data Scientist (SDS™)
B. The Nature of Content on the Portal
The contents of this portal neither purport
to, nor are meant to work as a complete text-portal/ website-type
reference resource for users.
The language, style, and nature of content
on this portal has been designed keeping in view the global standards of
The course-writers contributing to this
portal have assumed that the user/ learner at least has a basic level
understanding of the principles and concepts that a Bachelor's/
Undergraduate Degree holder in Data Systems/ Information Technology/ Business
Management/ Statistics/ Software Programming or Computer Science from a
university generally is expected to have.
Those not belonging to Data Science and Big Data
fields will have to take a pre-course in these topics to be able to fully
use content on this portal, and hence, The Data Science Skool does not
take any responsibility for -, or make any such claim – about the use,
effectiveness, or comprehensibility of content presented here being equal
for all types of users.
Further, it should be noted that all learners
and users who exhibit practical exposure to basic functions and tasks of Data
Science and Big Data, and are aware about the general global trends in
these fields are more likely to leverage this portal better for more complete
and expanded learning.
The best use of content on this portal is
made by learners who have knowledge of the state-of-the-art principles,
theories, techniques, tools and generally accepted practices of Data Science
and Big Data as boned out in DASCA EKF™.
Without exception, all Data Science and Big Data
learners using this portal are expected to not only exhibit reasonably
high levels of proficiency in comprehending standard written English, but
also a decent exposure to the generally accepted principles and norms of Data
Science and Big Data practice.
C. The Coverage and Focus of the Portal
All content appearing on this portal is
aligned to the Essential Knowledge Framework (EKF™) of the Data Science
Council of America.
The Data Science Skool is an authorized
education and learning provider of DASCA, and the content appearing on
this portal is duly licensed.
A majority of this content has been
researched and prepared by Wiley under the DASCA-Wiley data science
knowledgeware project, supervised by CredForce.
Hundreds of technology experts, senior
recruiters, evangelists, platform developers, and Big Data professionals
working for leading global Big Data solution providers across the world have
contributed to the content appearing on this portal.
Structurally, this portal contains content
to support all of the 30 core knowledge topics across the 5 essential
knowledge dimensions or prongs prescribed under the EKF™.
This portal intends to provide a reliable
research–backed presentation of learning content in performance–critical
knowledge areas in the four most important professional practice vectors
in Big Data – Big Data Analytics, Big Data Engineering, and Data Science.
The Data Science Skool approach toward Data Science
and Big Data learning is entirely guided by an informed belief, that
professionals need to rise above technologies and platforms, and develop
generic skills in Data Science and Big Data, if they really want to have a
longer shelf life as Data Science professionals.
D. The Redundancy of Content on the Portal
The Data Science Skool makes all attempts to
keep content updated to the latest in the field of Data Science, linked as
it is with the DASCA system.
Big Data is expanding fast and furious, and
hence, it is impossible for The Data Science Skool to assure or claim that
the content appearing on this portal completely covers all aspects and
dimensions of Data Science or Big Data theory, practice, or philosophy at
E. The Linkages with DASCA Certification Exams
The contents on this portal neither purport
to, nor are designed for exam purposes. This portal does not claim to
assist any user/ learner in the preparation of any of the DASCA
Users of this portals should be careful and
not assume, the practice questions, exercises, or problems are anyway
linked to DASCA certification exams.
F. Limits of Liability
While the best of efforts, research and
rigor have been invested in the preparation of this portal, Wiley, DASCA,
and the contributors make no representation or warranties with respect to
the accuracy or completeness of the same; and speciﬁcally disclaim any
implied warranties of merchantability or ﬁtness for any - particular
There are no warranties which extend beyond
the descriptions contained in this clause.
No warranty may be created or extended by
sales representatives in written or online sales materials.
The accuracy and completeness of the
information provided herein and the opinions stated herein are not
guaranteed or warranted to produce any particular results, and the advice
and strategies contained herein may not be suitable for every individual.
Neither Wiley, DASCA, nor the contributors
shall be liable for any loss of proﬁt or any other commercial damages,
including but not limited to special, incidental, consequential, or other
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