Introduction To Data Mining & Data Analytics detailed syllabus for Robotics Process Automation (RP) for 2021 revision curriculum has been taken from the SITTTRs official website and presented for the Robotics Process Automation (RP) students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Robotics Process Automation 6th Sem scheme and its subjects, do visit Robotics Process Automation (RP) 6th Sem 2021 regulation scheme. For Open Elective-I scheme and its subjects refer to Robotics Process Automation (RP) Open Elective-I syllabus scheme. The detailed syllabus of introduction to data mining & data analytics is as follows.
Course Objectives:
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Course Outcomes:
On completion of the course student will be able to:
- Understand the core concepts of Data Mining and Data Data Analytics.
- Illustrate various Predictive Analytics Algorithm
- Illustrate various Descriptive Analytics Algorithm
- Overview of Big data and data analytics tools
Module 1:
Introduction to Data Mining and Data analytics – Introduction to datamining and data analytics. Basic difference between data mining and data analytics. Benefits of datamining and data analytics, Data warehousing & online analytical processing (OLAP), Analytics Process Model, Data Analytics Types and Methods, Analytical Model Requirements, Data Analytics Life Cycle overview, Basics of data collection, sampling, preprocessing and dimensionality reduction
Module 2:
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Module 4:
Big Data Overview – State of the practice in analytics, Example Applications – Credit Risk Modeling, Business Process Analytics. Introduction to Hadoop, Hadoop Architecture, Big Data Analytics using Map Reduce and Apache Hadoop, Overview of modern data analytic tools.
Text Books:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier..
- Dunham M H, “Data Mining: Introductory and Advanced Topics”, Pearson Education, New Delhi, 2003.
- Jaiwei Han and Micheline Kamber, “Data Mining Concepts and Techniques”, Elsevier, 2006.
- Bart Baesens,” Analytics in a Big Data World: The Essential Guide to Data Science and its Business Intelligence and Analytic Trends”, John Wiley & Sons, 2013
- David Dietrich, “EMC Education Services, Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data”, John Wiley & Sons, 2015.
Online Resources
- https://www.investopedia.com/terms/d/datamining.asp
- https://www.techtarget.com/
- https://www.javatpoint.com/data-mining
- https://www.tutorialspoint.com/hadoop
- https://www.tutorialspoint.com/data_mining
- https://towardsdatascience.com
For detailed syllabus of all other subjects of Robotics Process Automation, 2021 revision curriculum do visit Robotics Process Automation (RP) 6th Sem subject syllabuses for 2021 revision.
To see the syllabus of all other branches of diploma 2021 revision curriculum do visit SITTTR diploma all branches syllabus..
To see the results of Robotics Process Automation of diploma 2021 revision curriculum do visit SITTTR diploma results..
For all Robotics Process Automation academic calendars, visit Robotics Process Automation all semesters academic calendar direct link.