Certified Data Mining and Warehousing Professional

BY
Vskills

Be an expert in the field of Data Mining and related Warehouse skills and technical expertise into the field, with Vskills Certified programme.

Mode

Online

Fees

₹ 3499

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

If you want to be a professional in Data Mining and Warehousing, Vskills Data Mining and Warehousing Certified Professional program is the right place for you. Just like the actual Mining, it is the process of extracting information and other patterns from very large sets of bulky data with the use of different statistical techniques and methods & artificial intelligence skills and strategies with database management. 

The certification on Data Mining helps the learners to apply algorithms and strategic techniques to solve and convert the interesting and actual data mining challenges for the professionals.  Data quality and converting methods and techniques for pre-processing the large amounts of available, bulky data. 

Modeling and design of data warehouses, clustering and association rule analysis, application of Algorithms for classification. With the Practical use of software for data analysis, it helps in the field, for professionals to know the fundamentals.

The highlights

  • Certification provided by Government
  • Certification from VSkills

Program offerings

  • E learning
  • Data mining and warehousing methods
  • Interactive learning
  • Olap
  • Molap

Course and certificate fees

Fees information
₹ 3,499

The candidates can apply for and buy the Program for an amount of Rs. 3,499/- only

Fee details for Vskills Certified Program in Data Mining and Warehousing

Total Fees

Rs. 3,499/- only

certificate availability

Yes

certificate providing authority

Vskills

Eligibility criteria

Education

No specific piece of information is available but Graduate learners and professionals aspiring for jobs in the field can also avail the Vskills Certification in Data Mining and Warehousing for job progression.

Certificate Qualification Details

To qualify for the Certification, the learners’ are required to enrol in the course and attend the course sessions on a regular basis. After that, the candidates would have to qualify the Certification exam, based on which they would be provided with the course certification. This exam is basically an online test of 50 questions. Every question carries 1 mark each. Candidates are required to get at least 25 marks to clear and get a certificate of completion. 

What you will learn

Data science knowledge Database management Knowledge of data mining

After successful completion of the certification, the candidates would get a bundle of knowledge about the skills and opportunities in the particular area of Data Mining and Warehousing. Learners also get to learn about: 

  • Data preprocessing and data quality
  •  Algorithms for data mining
  • Modeling and design of data warehouses
  • Certification from Vskills
  • Course material in Data Mining and Warehousing
  • High salaried job prospects
  • Ability to apply acquired knowledge for understanding data and select suitable methods for data analysis
  • Be able to design data warehouses
  • Techniques and methods for Data handling

The syllabus

Data Warehousing Introduction

  • Introduction
  • Meaning of Data Warehousing
  • History of Data Warehousing

Data Warehousing Characteristics

  • Introduction
  • Data Warehousing
  • Operational vs. Informational Systems
  • Characteristics of Data Warehousing

Online transaction Processing

  • Introduction
  • Data Warehousing and OLTP Systems
  • Processes in Data Warehousing OLTP
  • What is OLAP?
  • Who uses OLAP and WHY?
  • Multi-Dimensional View s
  • Benefits of OLAP

Data Warehousing Models

  • Introduction
  • The Data Warehouse Model
  • Data Modeling for Data Warehouses

Data Warehousing Architecture

  • Introduction
  • Structure of a Data Warehouse
  • Data Warehouse Physical Architectures
  • Principles of a Data Warehousing

Data Warehousing and Operational Systems

  • Introduction
  • Operational Systems
  • “ Warehousing” Data outside the Operational Systems
  • Integrating Data from more than one Operational System
  • Differences between Transaction and Analysis Processes
  • Data is mostly Non-volatile
  • Data saved for longer periods than in transaction systems
  • Logical Transformation of Operational Data
  • Structured Extensible Data Model
  • Data Warehouse model aligns with the business structure
  • Transformation of the Operational State Information
  • De-normalization of Data
  • Static Relationships in Historical Data
  • Physical Transformation of Operational Data
  • Operational terms transformed into uniform business terms

Data Warehousing Considerations

  • Introduction
  • Building a Data Warehouse
  • Nine Decisions in the design of a Data Warehouse

Data Warehousing - Applications

  • Introduction
  • Data Warehouse Application

Roi and Design Considerations

  • Introduction
  • Need of a Data Warehouse
  • Business Considerations: Return on Investment
  • Organizational Issues
  • Design Considerations
  • Data content
  • Metadata
  • Data Distribution
  • Tools
  • Performance Considerations

Technical and Implementation Considerations

  • Introduction
  • Technical Considerations
  • Hardware Platforms
  • Balanced Approach
  • Optimal hardware architecture for parallel queryscalability
  • Data warehouse and DBMS Specialization
  • Communications Infrastructure
  • Implementation Considerations
  • Access Tools

Data Warehousing Benefits

  • Introduction
  • Benefits of Data Warehousing
  • Problems with Data Warehousing
  • Criteria for a Data Warehouse

Project Management Process

  • Introduction
  • Project Management Process
  • The Scope Statement
  • Project Planning
  • Project Scheduling
  • Software Project Planning
  • Critical Path Method
  • Decision Making

Work Breakdown Structure

  • Introduction
  • Work Breakdow n Structure (WBS)
  • How to build a WBS (a serving suggestion)
  • To Create Work Breakdown Structure
  • From WBS to Activity Plan
  • Estimating Time

Project Estimation and Risk

  • Introduction
  • Project Estimation
  • Analyzing Probability & Risk

Managing Risk

  • Introduction
  • Risk Analysis
  • Risk Management
  • Risk Analysis
  • Managing Risks: Internal & External
  • Internal and External Risks
  • Critical Path Analysis

Data Mining Concepts

  • Introduction
  • Data Mining
  • Data Mining Background
  • Inductive Learning
  • Statistics
  • Machine Learning

Data Mining and KDD

  • Introduction
  • What is Data Mining?
  • Data Mining: Definitions
  • KDD vs. Data Mining
  • Stages OF KDD
  • Machine Learning vs. Data Mining
  • Data Mining vs. DBMS
  • Data Warehouse
  • Statistical Analysis

Elements of Data Mining

  • Introduction
  • Elements and uses of Data Mining
  • Relationships & Patterns
  • Data Mining Problems/Issues
  • Goals of Data Mining and Know ledge Discovery

Data Information and Knowledge

  • Data, Information and Knowledge
  • What can Data Mining do?
  • How does Data Mining Work?
  • Data Mining in a Nutshell

Data Mining Models

  • Data Mining
  • Data Mining Models
  • Discovery of Association Rules
  • Discovery of Classification Rules

Data Mining Issues and Challenges

  • Data Mining Problems/Issues
  • Other Mining Problems
  • Data mining Application Areas
  • Data Mining Applications-Case Studies
  • Housing Loan Prepayment Prediction
  • Mortgage Loan Delinquency Prediction
  • Crime Detection
  • Store-Level Fruits Purchasing Prediction
  • Other Application Area

Dm Nearest Neighbor and Clustering Techniques

  • Types of Knowledge Discovered during Data Mining
  • Comparing the Technologies
  • Clustering And Nearest-Neighbor Prediction Technique

Decision Trees

  • What is a Decision Tree?
  • Decision Trees
  • Where to use Decision Trees?
  • Tree Construction Principle
  • The Generic Algorithm
  • Guillotine Cut
  • Over Fit

Decision Trees Advanced

  • Best Split
  • Decision Tree Construction Algorithms
  • Cart
  • ID3
  • C4.5
  • Chaid
  • How the Decision Tree Works
  • State of the Industry

Neural Networks

  • Basics of Neural Networks
  • Are neural networks easy to use?
  • Business Scorecard
  • Where to use Neural Networks
  • Neural Networks for Clustering
  • Neural Networks for Feature Extraction
  • Applications Score Card
  • The General Idea

Neural Networks Advanced

  • What is a Neural Network Pparadigm?
  • Design decisions in architecting a neural network
  • Different types of Neural Networks
  • Kohonen feature Maps
  • Applications of Neural Networks
  • Knowledge Extraction Through Data Mining

Association Rules And genetic Algorithm

  • Association Rules
  • Basic Algorithms for Finding Association Rules
  • Association Rules among Hierarchies
  • Negative Associations
  • Additional Considerations for Association Rules
  • Genetic Algorithm
  • Crossover
  • Genetic Algorithms In detail
  • Mutation
  • Problem-Dependent Parameters
  • Encoding
  • The Evaluation Step
  • Data Mining using GA

OLAP Multidimensional Data Model

  • On Line Analytical Processing
  • OLAP Example
  • What is OLAP?
  • Who uses OLAP and WHY?
  • Multi-Dimensional Views
  • Complex Calculations
  • Time Intelligence

OLAP Characteristics

  • Definitions of OLAP
  • Comparison of OLAP and OLTP
  • Characteristics of OLAP: FASMI
  • Basic Features of OLAP
  • Special features

Multidimensional And Multirelational OLAP

  • Introduction
  • Multidimensional Data Model
  • Multidimensional versus Multi-relational OLAP
  • OLAP Guidelines

OLAP Operations

  • Introduction
  • OLAP Operations
  • Lattice of Cubes, Slice and Dice Operations
  • Relational Representation of the Data Cube
  • DBMS
  • Data Mining
  • Mining Association Rules
  • Classification by Decision Trees and Rules
  • Prediction Methods

MOLAP / ROLAP Tools

  • Categorization of OLAP Tools
  • MOLAP
  • ROLAP
  • Managed Query Environment (MQE)
  • Cognos PowerPlay

Admission details


Filling the form

Due to the online mode of Certification, the learners can easily direct to the course URL and may further proceed for direct payment. 

However, for the learners to begin the initial proceedings of the program, the learners are entitled to follow the common instructions given below-

  • Select Certification & Register
  • Select any based on learner's choice and feasibility- a.) Online e Learning Access (LMS)    b.) Hard copy - study material
  • Take the exam online anywhere, anytime, at your convenience.
  • Get certified & Increase Employability

Evaluation process

Candidates are required to appear for an online test. This is a test of 50 marks which needs to be cleared with a minimum of 25 marks. Thereafter a certificate of completion will be provided. 

How it helps

On enrolling for the course, the learners get a plethora of benefits like Government Certification to shine bright in their Curriculum Vitae. Certification that candidates receive would be valid for life.  Lifelong e-learning access is provided to learners in buying the program. 

Other than these benefits, the learners will be entitled to get Free Practice Tests, Get tagged as 'Vskills Certified' On Monsterindia.com and they Get tagged as 'Vskills Certified' On Shine.com. The learners also get higher job prospects with good salary and reputation in higher firms related to the IT industry. Learners also get to learn many skills related to the field and also they get to experience a lot of work ethics.

FAQs

What is Vskills?

Vskills is a platform for a plethora of opportunities providing the largest number of professional certifications in India. As very well recognised in the industry, Vskills conducts certification exam and skill testing to improve the learners’ employability. 

What are the companies that hire Data Mining Professionals?

Vskills Certified applicants will find employment opportunities in Big Companies like Google India, Microsoft India, HCL, Tech Mahindra, Veritas, Citrix, Novartis, and Bosch, etc. Recruit the candidates with this certification.

Where can the candidates access the Data Mining and Warehousing Table of Contents?

Learners can visit the URL to access the table of contents, the URL below-

https://www.vskills.in/certification/Certified-Data-Mining-and-Warehousing-Professional-Table-of-Contents

Before enrolling into the course, where can learners see Data Mining and Warehousing Course Outline?

For Course outlines, learners can visit the URL- https://www.vskills.in/certification/Certified-Data-Mining-and-Warehousing-Professional-Course-Outline

Can learners have an outlook of any Data Mining and Warehousing Tutorial?

By visiting the URL, learners can watch the tutorial. The URL-http://vskills.in/certification/tutorial/information-technology/data-mining-and-warehousing-professional/

Does Vskills provide any Data Mining and Warehousing Mock Test?

Yes, learners can access the mock tests through the URL-http://www.vskills.in/practice/quiz/Data-Mining-and-Warehousing

What study material is provided?

The study material is provided in an Online mode, with  a) e-learning Access (LMS)    b.) Hard copy - study material

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