Data Mining

NPTEL and Indian Institute of Technology, Kharagpur via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!

Grab it

COURSE OUTLINE: Data mining is the study of algorithms for finding patterns in large data sets. It is an integral part of modern industry, where data from its operations and customers are mined for gaining business insight. It is also important in modern scientific endeavors. Data mining is an interdisciplinary topic involving, databases, machine learning and algorithms. The course will cover the fundamentals of data mining. It will explain the basic algorithms like data preprocessing, association rules, classification, clustering, sequence mining and visualization. It will also explain implementations in open-source software. Finally, case studies on industrial problems will be demonstrated.

Syllabus

Lecture 1 Introduction, Knowledge Discovery Process.
Lecture 2 Data Preprocessing - I.
Lecture 3 Data Preprocessing - II.
Lecture 4 Association Rules.
Lecture 5 Apriori algorithm.
Lecture 6 : Rule generation.
Lecture 7 : Classification.
Lecture 8 : Decision Tree - I.
Lecture 9 : Decision Tree - II.
Lecture 10 : Decision Tree III.
Lecture 11 : Decision Tree IV.
Lecture 12 : Bayes Classifier I.
Lecture 13 : Bayes Classifier II.
Lecture 14 : Bayes Classifier III.
Lecture 15 : Bayes Classifier IV.
Lecture 16 : Bayes Classifier V.
Lecture 17 : K Nearest Neighbor I.
Lecture 18 : K Nearest Neighbor II.
Lecture 19 :.
Lecture 20.
Lecture 21.
Lecture 22 : Support Vector Machine I.
Lecture 23 : Support Vector Machine II.
Lecture 24 : Support Vector Machine III.
Lecture 25 : Support Vector Machine IV.
Lecture 26 : Support Vector Machine V.
Lecture 27: Kernel Machines.
Lecture 28: Artificial Neural Networks I.
Lecture 29:Artificial Neural Networks II.
Lecture 30: Artificial Neural Networks III.
Lecture 31: Artificial Neural Networks IV.
Lecture 32: Clustering I.
Lecture 33: Clustering II.
Lecture 34: Clustering III.
Lecture 35: Clustering IV.
Lecture 36: Clustering V.

Taught by

Data Mining - IITKGP

Reviews

4.4 rating, based on 25 Class Central reviews

Start your review of Data Mining

Shlok Banubakode @shlokbanubakode

I recently completed a course on Data Warehouse and Mining, and it was an incredibly insightful experience. The course provided a solid foundation in understanding the architecture and functioning of data warehouses, along with hands-on practice on…

I recently completed a course on Data Warehouse and Mining, and it was an incredibly insightful experience. The course provided a solid foundation in understanding the architecture and functioning of data warehouses, along with hands-on practice on data mining techniques.

The lectures were well-structured, covering key concepts like ETL processes, OLAP operations, dimensional modeling, and various data mining algorithms, including clustering, classification, and association rule mining. The real-world case studies and projects helped in applying theoretical knowledge to practical scenarios, which made the learning even more valuable.

One of the highlights of the course was the focus on tools like SQL, Tableau, and WEKA, which were used to visualize and mine data effectively. I also appreciated how the instructors emphasized the role of data preprocessing and cleaning, ensuring we had a deep understanding of how to handle large datasets in real business contexts.

Overall, this course has significantly enhanced my skills in building and managing data warehouses while leveraging data mining techniques for better decision-making. I would highly recommend it to anyone looking to break into the field of data analytics or business intelligence.
Adarsh Nambiar @adarshnambiar

Great introductory course with good content and clear explanations, perfect for beginners in data mining.
Siddhant Kadu

All the topics are covered and explained excellently.This data mining course offers a great introduction to uncovering patterns and insights from large sets of data. It usually covers essential topics like classification, clustering, association rule mining, and anomaly detection. The course is generally engaging, with practical exercises and projects to help solidify learning. Whether you're a beginner or looking to sharpen your data skills, it's a valuable course for anyone interested in fields like data science, analytics, or machine learning.
Megha Yewale

I recently completed an online course on data mining, and it was an enriching experience. The course covered a wide range of topics, including classification, clustering, association rules, and predictive analytics, with a strong focus on practical…

I recently completed an online course on data mining, and it was an enriching experience. The course covered a wide range of topics, including classification, clustering, association rules, and predictive analytics, with a strong focus on practical applications. The instructors did a great job of explaining complex concepts in a clear and engaging manner, supplemented by hands-on exercises that reinforced learning. The use of real-world datasets made the assignments interesting and relevant.

However, some sections felt a bit rushed, and I would have appreciated more in-depth coverage of advanced algorithms. Also, the forums could be more active to facilitate peer learning. Overall, it's a solid course for beginners and intermediate learners looking to build a strong foundation in data mining.
HARSHIKA PATIL

The data mining course offered a comprehensive introduction to essential concepts and techniques in the field. It effectively blended theoretical foundations with practical applications, making complex topics accessible to engineering students. The…

The data mining course offered a comprehensive introduction to essential concepts and techniques in the field. It effectively blended theoretical foundations with practical applications, making complex topics accessible to engineering students. The hands-on projects allowed us to apply algorithms like clustering and classification using real-world datasets, reinforcing our understanding. The course also emphasized the importance of data preprocessing and model evaluation, which are crucial for successful data mining projects. Additionally, the instructor was knowledgeable and supportive, fostering an engaging learning environment. Overall, this course is invaluable for anyone looking to delve into data mining and its applications in various industries.
Prachi Khemnar

The Data Warehousing and Data Mining (DWM) course offered an in-depth exploration of essential concepts and techniques in the field. The content was well-structured, covering key topics such as data warehousing architecture, ETL processes, and advanced data mining methods. The instructor’s expertise and engaging teaching style made complex topics accessible and understandable. Practical examples and hands-on exercises were particularly valuable for reinforcing theoretical knowledge. The course was up-to-date with current technologies and best practices, making it highly relevant. Overall, it provided a comprehensive foundation in DWM, equipping me with both theoretical insights and practical skills.
Abhijit Vinayak Palve

It was a grateful experience for learning from iit's professor and especially subject is data mining. As it involves extracting useful information from large datasets using techniques like classification, clustering, regression, and association rule mining. Key steps include data preprocessing (cleaning and transforming data), applying algorithms to discover patterns, and evaluating results. Tools like decision trees, neural networks, and k-means clustering are commonly used. The goal about this course is to uncover hidden patterns, correlations, and insights that can inform decision-making and predictions across various fields i clearly get that under professor guidance. Thank you!
ATHARV MAHALE

The lectures are well-structured, covering essential topics in data mining such as data preprocessing, association rule mining, and clustering. The instructor explains complex concepts clearly and concisely, making it easy for learners to follow along. The course also provides practical examples and quizzes, which help reinforce the concepts learned. I highly recommend this course for anyone interested in data mining or looking to enhance their data analysis skills.
Musab Khan

The lectures are well-organized and cover key topics in data mining, including data preprocessing, association rule mining, and clustering. The instructor breaks down complex ideas in a clear and straightforward manner, making it easy to understand. Practical examples and quizzes are provided throughout the course to reinforce learning. I highly recommend this course to anyone interested in data mining or wanting to improve their data analysis skills.
Bhagyoday Bade

I want to sincerely thank you for sharing your valuable knowledge with us. Your clear explanations and dedication have greatly enhanced my understanding of the subject. The lessons have been incredibly helpful, and I am grateful for the effort you put into teaching. I would love to request a more detailed video on certain aspects to deepen my comprehension further. Your guidance has been truly inspiring, and I look forward to learning more from you.
Sanskruti Mistry

The course provided a thorough introduction to data mining and machine learning techniques. It covered essential topics like data preprocessing, association rules, classification methods, and clustering. Detailed explanations of algorithms make it suitable for both beginners and intermediate learners.
Ganesh Mestry

The NPTEL Data Mining course is a solid resource for anyone looking to grasp the fundamentals of data mining. It is well-structured, led by experts, and offers valuable certification. However, it does demand a good amount of self-discipline and prior knowledge to get the most out of the course
Sonal Solaskar

This was an insightful course! Learnt a lot about data mining and the different algorithms like data preprocessing, association rules, classification, clustering, sequence mining and visualization. The case studies were very insightful as well!
Chaitanya Dinesh Bagade

The course is really good and provided by IITkgp is cherry on top , I personally learned a lot of things as compared with by college teachers which fails to teaches such type of things , really recommend 100 percent
Lekhanshu Ganveer

This course was very informative as I learned a to of new things which I could have not otherwise and would really love to take further courses in the future to increase my level in Data mining and other courses.
Ganesh Tukaram Waghmare

It is very knowledgeable and very depth learning course of data warehouse and mining. It is give the entire and depth knowledge of data warehouse and mining concepts
Pushkar Uikey

Overall, this was a great course. I have learned a lot while pursuing this course, and it also helps me in a lot of ways in my academic-related topics
Apurva Ghare

enjoyed the course very much , This data mining course offers clear concepts, practical examples, and hands-on exercises, boosting skills efficiently
Virendra Vengurlekar

It was a great experience. I liked the course and enjoyed it. The explanation was easy to understand and helped to understand this subject in depth
Anurag Patwa

It was a great lecture on Data Mining. I learn to so much about various algorithms used in Data mining and their use cases.