Data Mining and Management Strategies

Data Mining and Management Strategies

Category:
Accounting/ Finance / Human Resources / Marketing / Uncategorized /
Original price was: د.إ4,500.00.Current price is: د.إ3,643.00. 5% VAT
2 Reviews
TIME Open
DURATION 8 week course
LOCATION Online
START DATE 1 Feb / 1 June / 1 October

Overview

Examine techniques and algorithms for knowledge discovery in databases, from data pre-processing and transformation to model validation and post-processing. In this 100% online eight-week course, you’ll explore marketing business processes that increasingly rely on analytics, including customer acquisition, marketing segmentation and understanding customer lifetime value. Use analytical tools to develop models to support these business processes.

Who Should Register?

This course is designed for professionals who want to deepen their understanding of how big data can be mined and managed to uncover information. With its exploration into relational databases and predictive modeling techniques, the course helps professionals understand how this process works effectively with various types of data.

Content

What you will learn :

Enterprise Database and Data Models

  • Key differences between data and information
  • An understanding of enterprise database environments
  • Define specific challenges with data cleansing
  • The elements that make up a data model

Extracting Data from a Database

  • The role of queries in extracting data from a database
  • How to implement advanced queries in Microsoft® Access (or other database environment) using a visual querying language
  • How to write queries using Structured Query Language (SQL)
  • Recognize the manner in which SQL supports, extracts, transforms and loads to prepare data for analytics model development

Large Scale Implementation of Hadoop® MR

  • An understanding of and differences between brute force and parallel approaches
  • Core concepts, advantages and supporting programs of ApacheTMHadoop®
  • Identify the components of MapReduce

Getting Data: Social Networks and Geolocalization

  • Structure of a web page and how to obtain HTML files
  • The advantages of web crawlers and how to get data page by page
  • How to conduct text analysis: identifying human text, common issues, and resource libraries
  • The ethical implications of using publicly available data

Unstructured Data, Graphs and Networks

  • How to apply the right data structure for a problem
  • The differences between graph, node and edge properties
  • Define what degree means and analyze and interpret the degree distribution
  • Concept of clustering coefficient and what it can mean for your data

Clustering: Understanding the Relationship of Things

  • Concept of clustering and necessary conditions
  • Continuous and discrete distances and their different implications for clustering
  • How to use bootstrapping to find a good business solution
  • Min, max and mean merging and why it is important to understand these relations

Classifications: Putting Things Where They Belong

  • What classification does and its key components
  • The elements of classification and how to use a decision tree
  • How to apply the idea of impurity to tree induction
  • Discrete and continuous classes and their role in supporting classification

Classifications: Advanced Methods

  • Statistical and classification methods—when you would use each
  • What issues to consider when only training data is available
  • Advantages and disadvantages of Artificial Neutral Networks (ANN)
  • The limits, constraints and differences of classifiers

Who Should Register?

This course is designed for professionals who want to deepen their understanding of how big data can be mined and managed to uncover information. With its exploration into relational databases and predictive modeling techniques, the course helps professionals understand how this process works effectively with various types of data.

Intermediate C# Programming (Self-Paced Tutorial)

Basic Requirements

Bachelor’s Degree or minimum High School with preferably relevant working experience and good English language skills.

Certificate

Upon successful completion a “Certificate of Completion” will be issued with both MSU and UD authorized signatories

Price:
4500 AED
3643 AED
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Original price was: د.إ4,500.00.Current price is: د.إ3,643.00. 5% VAT

  • Deepak Ouseph

    Senior Officer, People Management Department,Dubai Airport Freezone Authority
    The MSU Global Certificate in Business Analytics program has helped me gain practical knowledge of statistical & quantitative analysis, explanatory & predictive modeling and fact-based analysis to drive decision making. I was also able to understand how to apply them at work. In addition, I was able to enhance my data interpretation & problem-solving skills.

  • Anisa Muhammad Ali

    Marketing Manager, Dubai CommerCity
    The MSU Global Certificate in Business Analytics has provided me with an opportunity to explore further the area of business analytics. It has introduced data analysis concepts along with know-how on applying these concepts at work. Given the field of big data and business analytics is evolving every day, it is vital to gain a basic understanding and applicability which then translates into business decisions that you can be confident about. I recommend this course to all those professionals who wish to build the capability to understand data and leverage it for business growth.

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Duration: 8 week course
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