Lecture-1: Introduction to Data Warehousing, Data warehouse Architecture and Infrastructure, Components. (https://www.youtube.com/watch?v=J326LIUrZM8)
Lecture-2: Building a Data warehouse –- Mapping the Data Warehouse to a Multiprocessor Architecture (https://www.youtube.com/watch?v=_mDSTZQxYOU)
Lecture-3,4: DBMS Schemas for Decision Support –Data Extraction, Cleanup, and Transformation Tools –Metadata (https://www.youtube.com/watch?v=LUNVzN1vumQ)
Lecture-5,6: Reporting and Query tools and Applications, Tool Categories (https://www.youtube.com/watch?v=DffOEbxr9fI)
Lecture-7,8: Online Analytical Processing (OLAP) – Need –Multidimensional Data Model – OLAP Guidelines (https://www.youtube.com/watch?v=50gD4GTdv7U, https://www.youtube.com/watch?v=2ryG3Jy6eIY)
Lecture-9,10: Multidimensional versus Multirelational OLAP (https://www.youtube.com/watch?v=LzmAbi5ZOhE, https://www.youtube.com/watch?v=pM--s4szPnQ)
Lecture-11,12: Categories of Tools – OLAP Tools and the Internet (https://www.youtube.com/watch?v=LYZNUetYTaI, https://www.youtube.com/watch?v=51UL99Fn67M&t=323s)
Lecture-13: Introduction to Data Mining, Types of data (https://www.youtube.com/watch?v=0Q7j7sv4rns ,https://www.youtube.com/watch?v=dyYKQpFJOZQ, AI vs ML vs DL (https://www.youtube.com/watch?v=k2P_pHQDlp0)
Lecture-14: Data Mining Functionalities (https://www.youtube.com/watch?v=37fnf5Ec3Vg), Classification of Data Mining Systems and Task Primitives (https://www.youtube.com/watch?v=Zj_csB0anJU)
Lecture-15: Integration of a Data Mining System with a Data Warehouse (https://www.youtube.com/watch?v=cM1S7kNW1SA)
Lecture-16: Data Preprocessing (https://www.youtube.com/watch?v=2e4fgSgn64Q)
Lecture-17: Introduction to Machine Learning (https://www.youtube.com/watch?v=rwx_1_IOj3g&list=PLTS7rWcD0Do3O1iRmH6-LydircHibNrOC),
Data Mining vs. Machine learning (https://www.youtube.com/watch?v=Q10cYawsNBk&list=PLTS7rWcD0Do3O1iRmH6-LydircHibNrOC&index=2)
Prediction with Regression (https://www.youtube.com/watch?v=UgxM-C8zW_Q&t=24s ,https://www.youtube.com/watch?v=gAz3biYiWdw&t=1s, https://www.youtube.com/watch?v=0SBBeyBsRkk&t=598s)
Lecture-18: Mining Frequent Patterns, Associations and Correlations (https://www.youtube.com/watch?v=QN3_wxqnSlw, https://www.youtube.com/watch?v=guVvtZ7ZClw)
Lecture-19: Mining Methods (Apriori Algorithm), https://www.youtube.com/watch?v=LZii6N4vGDs
Lecture-20: Mining Methods-FP Growth Algorithm, https://www.youtube.com/watch?v=yCbankIouUU
Lecture-21: Classification and Prediction - Basic Concepts (https://www.youtube.com/watch?v=AcRNpG37Q8E, https://www.youtube.com/watch?v=5tt9sUsGDTM&list=PLTS7rWcD0Do3O1iRmH6-LydircHibNrOC&index=3)
Lecture-22: Decision Tree Induction (https://www.youtube.com/watch?v=xtkJm-T_a7c)
Lecture-23: Bayesian Classification (https://www.youtube.com/watch?v=RixQygYyDKI, https://www.youtube.com/watch?v=g71vdMhs57Q&t=1091s)
Lazy Learners (KNN Classification) (https://www.youtube.com/watch?v=-brP90eHZ_4, https://www.youtube.com/watch?v=xx7FIZrtnM0&t=1s)
Lecture-24: Classification by Backpropagation (https://www.youtube.com/watch?v=DAo7cWX6X2I, https://www.youtube.com/watch?v=GJXKOrqZauk, https://www.youtube.com/watch?v=QZ8ieXZVjuE)
Lecture-25: Support Vector Machines (https://www.youtube.com/watch?v=dlL8mhV652c, https://www.youtube.com/watch?v=v2ITDBlF5Pk, https://www.youtube.com/watch?v=8s7R4IJUNms&t=140s)
Lecture-26: Clustering and Applications and Trends in Data Mining (https://www.youtube.com/watch?v=4cxVDUybHrI)
Categorization of Major Clustering Methods, Types of Data (https://www.youtube.com/watch?v=nqhU0zKbgcE)
Lecture-27,28: Partitioning Methods->K-Means Clustering (https://www.youtube.com/watch?v=FFhmNy0W4tE, https://www.youtube.com/watch?v=4b5d3muPQmA), K-Medoid (https://www.youtube.com/watch?v=q3plVFIgjGQ&t=1332s)
Lecture-29: Density-Based Methods->DBSCAN (https://www.youtube.com/watch?v=C3r7tGRe2eI)
Lecture-30,31: Hierarchical Methods (https://www.youtube.com/watch?v=7NeHQU7zzm4&t=643s, https://www.youtube.com/watch?v=z7jXh_RzL_k, https://www.youtube.com/watch?v=Fm01pqWLqzU)
Lecture-32: Grid Based Methods (https://www.youtube.com/watch?v=CDjgjp1y9QA)
Lecture-33: Model-Based Clustering Methods (https://www.youtube.com/watch?v=vC7QF1-JLwI)
Lecture-34: Clustering High Dimensional Data (https://www.youtube.com/watch?v=YioXgK1C98U)
Lecture-35: Outlier Analysis (https://www.youtube.com/watch?v=H85F9nz0kwo, https://www.youtube.com/watch?v=rzR_cKnkD18)
Lecture-36: Data Mining Applications Towards Research (https://www.youtube.com/watch?v=0U4WpH4SKng, https://www.youtube.com/watch?v=I0DanOCgcjE, )