Tanvir is an active educator who believes in outcome based education. He is working as Assistant Professor in a reputed engineering college 

Mr Tanvir H Sardar

This course explains concepts, techniques, algorithms and methodology related to Data Warehouse and Data Mining systems.

GATE (Graduate Aptitude Test in Engineering) 2020 & 2021 complete preparation with best educators. Know about the detailed syllabus, best books, exam pattern and dates, previous year question papers a

GATE & ESE

English

Data Warehousing and Data Mining

Miscellaneous

Practice and Strategy

CS & IT

GATE - CSIT, DSAI & Placements

GATE, ESE and IIT-JAM

Ace the toughest competitive and government exams in India 

Test Preparation

Provides overview on data warehouses and it's features.

1 Data Warehouse Introduction

This lesson provides a difference between OLTP and OLAP and it's interrelation between data warehouses and traditional relational databases.

2 OLAP vs OLTP

Provides a short overview of data warehouse architecture

3 Data Warehouse Architecture

Provides details with examples for different schemas for modelling data warehouses

4 Data Warehouse Modelling

Description of OLAP operations with examples

5 OLAP Operations

Provides an overview of data cube and it's measures.

6 Data Cube and Its Measures

This lecture provides an overview on data mining.

7 Data Mining Introduction

Provides overview of data mining functionalities/tasks.

8 Data Mining Tasks/Functionalities

Data Preprocessing introduction and overview of data Preprocessing techniques are provided

9 Data Preprocessing Introduction

Data cleaning process of data preprocessing is explained here

10 Data Preprocessing: Data Cleaning

Data Integration techniques of data integration is explained here.

11 Data Preprocessing: Data Integration

Data transformation concepts are overviewed.

12 Data Preprocessing: Data Transformation

Data reduction strategies of data preprocessing is explained here.

13 Data Preprocessing: Data Reduction

14 Frequent Pattern Mining Basics

Explained Apriori algorithm with example for frequent itemset generation.

15 Apriori Algorithm for Frequent Itemset Generation

16 FP Growth Algorithm

Basics of classification is explained. The difference between classification and prediction is also shown.

17 Classification and Prediction Basics

Decision tree algorithm with example and attribute selection method is explained.

18 Decision Tree Induction

Examples of rule based classification and sequential covering algorithm.

19 Rule based classification

20 Bayesian classification technique is explained with an example

20 Bayesian classification

K Nearest Neighbors algorithm for classification is explained

21 KNearest Neighbors Classifier

The basics of cluster analysis is explained in this example.

22. Cluster Analysis Basics

Different types of clustering is explained.

23. Major Clustering Approaches

Partition based clustering introduction and example algorithms

24. Partition based clustering

Hierarchical clustering basics are explained in this example

25. Hierarchical clustering approach

Birch and chameleon clustering algorithmd are explained

26. Density based clustering

Basics of density based clustering approach is explained

27. Density based clustering

DBSCSN, OPTICS AND DENCLUE Algorithms are explained, without examples.

28. DBSCSN AND OPTICS ALGORITHMS

Mentored 81,000+ Students | My Multiple Students secured AIR Below 100 in GATE | Joined top IISc, IITs & NITs | Joined PSUs | 5+ Years Exp.

Sweta Kumari

This course includes important formulas from every section targeted for GATE exam.

(Hindi) Short Tricks to Crack GATE with Important Formulas

This course is covering cloud Computing subject in only 60 Minutes. Multiple choice questions are also covered to master the topic.

(Hindi) Learn Cloud Computing and IoT in 60 Minutes

This course will cover the entire syllabus of Software Engineering in 1 hr.

(Hindi) Complete Software Engineering in 60 Minutes

Manpreet Singh

This course is about internet technology, services, servers, computing, artificial intelligence and robots.

(Hindi) Internet, Servers, Artificial Intelligence and Computing

I am a student currently in the final year of my study. I am pursuing BTech from Heritage Institute of Technology, Kolkata.

Shubhabrata Ghosh

This is an introductory course on Software Engineering which includes the basic initial stages involved in a software development company. 
This course also deals with the various models which are followed during the development of a software product.

Introduction to Software Engineering

In this course, Sweta Kumari will give You some tips and tricks with perfect Strategy of 6 Months to Crack GATE Exam.

Lessons

28 lessons • 4h 11m