The use of content of this portal is governed by the following terms and conditions:

A. The Intended Audience/ Target for the Portal

  1. This portal is designed for individuals registered for various Big Data/ Data Science certification programs of the Data Science Council of America (DASCA).
  2. 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

  1. The contents of this portal neither purport to, nor are meant to work as a complete text-portal/ website-type reference resource for users.
  2. The language, style, and nature of content on this portal has been designed keeping in view the global standards of English fluency.
  3. 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.
  4. 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.
  5. 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.
  6. 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™.
  7. 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

  1. All content appearing on this portal is aligned to the Essential Knowledge Framework (EKF™) of the Data Science Council of America.
  2. The Data Science Skool is an authorized education and learning provider of DASCA, and the content appearing on this portal is duly licensed.
  3. A majority of this content has been researched and prepared by Wiley under the DASCA-Wiley data science knowledgeware project, supervised by CredForce.
  4. 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.
  5. 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™.
  6. 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.
  7. 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

  1. 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.
  2. 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 all times.

E. The Linkages with DASCA Certification Exams

  1. 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 certification exams.
  2. 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

  1. 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 purpose.
  2. There are no warranties which extend beyond the descriptions contained in this clause.
  3. No warranty may be created or extended by sales representatives in written or online sales materials.
  4. 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.
  5. 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 damages.