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 - Iconic Pro

English

Data Warehousing and Data Mining

Miscellaneous

Practice and Strategy

CS & IT

GATE - CSIT, DSAI & Interview Preparation

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

I am CS graduate, I have cleared GATE CS/IS 4 times.I joined NIT-Karnataka later for Masters. I can help students with GATE and Coding Inter

Rishi Prakash

This course talks about general structure of GATE exam and some most important dos and don’ts to follow and avoid.Apart from this we talk about productivity and general health awareness.

(Hindi) How to Score Good Marks in GATE Exam

Manpreet Singh

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

(Hindi) Internet, Servers, Artificial Intelligence and Computing

A proud Indian, Engineer and an educator here,
Learn and let learn is what i always believe in.


Hannishaa Roy

This course gives insights on software life cycle models, issues in software design, fundamentals of testing and software project management.

Software Engineering

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

I am pursuing M.tech from Lovely professional University in CSE.I have other talent which is Trading.

Nikhil Ravi

Student's will be able to apply project management concept and Techniques to an IT Project. Identify issues that could lead to IT project success or failure. Explain project management in terms of the software development process.

Software Project Management: GATE

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⭐Currently Educator at Knowledge Gate

Vinay Mishra

In this course you'll learn the complete concept of Computer Networks with questions asked in Gate exams and best thing is you don't have to refer any books just watch my complete course and you'll be able to solve all the questions from this subject

Lessons

28 lessons • 4h 11m

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1 Data Warehouse Introduction

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2 OLAP vs OLTP

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3 Data Warehouse Architecture

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4 Data Warehouse Modelling

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5 OLAP Operations

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6 Data Cube and Its Measures

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7 Data Mining Introduction

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8 Data Mining Tasks/Functionalities

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9 Data Preprocessing Introduction

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10 Data Preprocessing: Data Cleaning

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