Udemy - Data Mining_Sin

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Added on June 28, 2016 by Sinin Other > Tutorials
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Udemy - Data Mining_Sin (Size: 420.5 MB)

		001 Introduction and Objectives.mp4	1.14 MB
		002 Definition of Knowledge Discovery in Databases.mp4	6.05 MB
		003 Techniques in Knowledge Discovery in Databases.mp4	5.21 MB
		004 Process in Knowledge Discovery in Databases.mp4	25.76 MB
		005 Reading Assignment Section 1.pdf	577.6 KB
		001 Introduction and Objectives.mp4	1000.61 KB
		002 Definition of Data Mining.mp4	10.67 MB
		003 Styles of Learning.mp4	1.42 MB
		004 Advantages in Data Mining.mp4	14.22 MB
		005 Disadvantages in Data Mining.mp4	17.01 MB
		006 Data.mp4	1.46 MB
		007 Information and Knowledge.mp4	2.11 MB
		008 Data Warehouses.mp4	3.75 MB
		009 Decision Tree Learning.mp4	19.93 MB
		010 Reading Assignment Section 2.pdf	1.02 MB
		001 Introduction and Objectives.mp4	868.95 KB
		002 Types of Data Studied in Data Mining.mp4	16.13 MB
		003 Minable Information.mp4	34.81 MB
		004 Reading Assignment Section 3.pdf	1.95 MB
		001 Introduction and Objectives.mp4	823.03 KB
		002 Introduction to Visualizing Data Patterns.mp4	8.12 MB
		003 Orienteering.mp4	8.94 MB
		004 Why Visualize.mp4	18.98 MB
		005 Trusting a Model.mp4	23.71 MB
		006 Understanding a Model.mp4	36.3 MB
		007 Reading Assignment Section 4.pdf	1.68 MB
		001 Introduction and Objectives.mp4	953.58 KB
		002 What Can Data Mining Do.mp4	14.69 MB
		003 Types of Data Sets.mp4	1.08 MB
		004 Data Mining Process.mp4	12.61 MB
		005 Process Flow.mp4	15.03 MB
		006 Conclusion.mp4	1.02 MB
		007 Reading Assignment Section 5.pdf	684.65 KB
		001 Introduction and Objectives.mp4	825.83 KB
		002 Introduction to Tools.mp4	10.65 MB
		003 Data Mining Tools.mp4	15.31 MB
		004 Data Mining Techniques.mp4	12.81 MB
		005 Reading Assignment Section 6.pdf	735.75 KB
		001 Introduction and Objectives.mp4	855 KB
		002 Usefulness of Data Mining.mp4	1.14 MB
		003 Basket Analysis.mp4	4.36 MB
		004 Sales Forecasting.mp4	1.97 MB
		005 Database Marketing.mp4	3.9 MB
		006 Merchandise Planning.mp4	3.41 MB
		007 Card Marketing.mp4	2.95 MB
		008 Call Detail Record Analysis.mp4	4.6 MB
		009 Customer Loyalty.mp4	6.26 MB
		010 Marketing Segmentation.mp4	3.95 MB
		001 Data Mining Complete Certification Kit Book.pdf	7.3 MB
		002 Data Mining Glossary of Terms.pdf	82.49 KB
		003 Quiz Answer Sheet.pdf	131.97 KB
		001 Final Exam.pdf	60.22 KB
		002 Evaluation Form.pdf	70.63 KB
		003 Conclusion - Final Lecture.mp3	963.37 KB

Description

Course Description

Uncover the essential tool for information management professionals known as Data Mining.

Data mining is the process of extracting patterns from large data sets by connecting methods from statistics and artificial intelligence with database management. Although a relatively young and interdisciplinary field of computer science, data mining involves analysis of large masses of data and conversion into useful information.

This introductory course will discuss: its involvement in the 9-step KDD process, which data can be mined and used to enhance businesses, data patterns which can be visualized to understand the data better, the process, tools, and its future by modern standards. It will also talk about the increasing importance of transforming unprecedented quantities of digital data into business intelligence giving users an informational advantage.

What are the requirements?

Basic understanding of the IT industry
Knowledge of the English language

What am I going to get from this course?

Be introduced to data mining, its advantages and disadvantages.
Be aware of the importance of visualizing data.
Know the usefulness of data mining in different businesses.
Look forward to applying data mining to their businesses.

What is the target audience?

IT managers looking to improve data management and analysis techniques.
Data analysts investigating the processes and tools of successful Data Mining.

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420.5 MB

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Udemy - Data Mining_Sin