Data Mining (Udemy.com)
An introductory course about understanding patterns, process, tools of data mining.
Created by: The Art Of Service
Last updated March 2015
What you will learn
- 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.
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating3.9 out of 5among the lower-rated ones
- Reviews102#424 of 462 by number of reviews
- Length2.1 hoursshorter than 88% of them
- Last updatedMarch 2015earlier than 99% of them
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.
Instructor Details
- 3.9 Rating
102 Reviews
The Art Of Service
The Art of Service has helped over 100,000 professionals across 160 countries build the skills that advance their careers and
protect their organizations.
Founded 25 years ago by Gerard Blokdijk and Ivanka Menken, we cover the full spectrum of professional development, from compliance and cybersecurity through to AI governance, project management, and leadership.
Our courses are built on a proprietary knowledge base of 692 compliance frameworks, 13,733 controls, and 819,000+ cross-framework mappings. This means every course connects to the real regulatory and operational landscape your organization operates in.
What you get from our courses:
Practical, actionable skills you can apply at work the same week you complete the course. No theory padding. No filler lectures.
Every section is structured to get you from "I need to understand this" to "I know exactly what to do" as fast as possible.
Our topic areas include:
AI Governance and Ethics, EU AI Act, ISO 42001, NIST AI RMF, SOC 2, ISO 27001, GDPR, Cybersecurity Compliance, Risk Management, Project and Product Management, HR and Talent Strategy, Sales and Customer Success, Leadership and Strategic Thinking, Business Operations and ESG, Microsoft Copilot, Google Gemini, Claude for Business, and Financial Compliance.
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Reviews
By Iulia Hospodar on 4/15/2024
1. Basic information about data mining provided, yet in a structured manner; partly outdated material, as you can expect from ”Last updated 3/2015” mention; includes information about data from 1995!!! (now we are in 2024); 2. Almost only text provided, visualization of concepts presented are exceptions; 3. I suspect that the very monotone voice reading the text is not coming from a person, but from a text-to-speech tool; 4. I have been invited to PURCHASE a test/ certification in the last chapter; I guess this information should have been provided from the beginning? otherwise there is no quiz or test available during/ at the end of the course; 5. There is no other resource provided, but a Data Mining Glossary of Terms; Conclusion: data mining is very important, huge opportunity to develop a Udemy course to find out why it is important (in 2024)!
By Manish Bhelande on 3/13/2023
improve data management and analysis techniques.
By Vikram Sankhala on 8/12/2018
An Excellent Course
By Abrar al serhani on 8/10/2018
I take the over all information about data mining
By Temitope Elizabeth Sorinola on 5/28/2018
A very detailed curriculum good for both experienced and new students alike.
By Guilherme Mendonça Freire on 5/18/2018
Aula com voz robotizada é muito monôtono. Poderia ser mais dinâmica e explorar exemplos, visualizaões, simulações, animações. Isso ajuda a fixar.
By Nathen Rader on 1/18/2018
The course was very insightful into the basic concepts of data mining. The only improvement to the content would be to increase the complexity of the quizzes that are provided.
By José Carlos Oliveira de Sá Frias on 1/17/2018
Eu esperava não só argumentos e mais argumentos e outra e outra vez sobre as vantagens do Data Mining, mas exemplos de aplicação das técnicas. Por exemplo, eu já tinha lido e tinha muita expectativa sobre o que são Neural Networks, não progredi nada, fiquei na mesma. Devia haver exemplo da técnica ou processo em cima de um conjunto de dados.
By Aisha Ibrahim on 7/11/2017
Monotone voice...very painful to follow. No human touch to this course.
By Harry Hughes on 10/2/2016
It was very informational even at a high level.
Quality Score
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Overall Score : 78 / 100












