Informações sobre o curso
4.4
607 classificações
152 avaliações
Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns....
Globe

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Clock

Sugerido: 5 hours/week

Aprox. 15 horas restantes
Comment Dots

English

Legendas: English, Korean

Habilidades que você terá

Data Visualization SoftwareTableau SoftwareData VirtualizationData Visualization (DataViz)
Globe

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Clock

Sugerido: 5 hours/week

Aprox. 15 horas restantes
Comment Dots

English

Legendas: English, Korean

Programa - O que você aprenderá com este curso

1

Seção
Clock
1 hora para concluir

Course Orientation

You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course....
Reading
6 leituras, 1 teste
Reading6 leituras
Welcome to Data Visualization!10min
Syllabus10min
About the Discussion Forums10min
Updating Your Profile10min
Social Media10min
Resources10min
Quiz1 exercício prático
Orientation Quiz10min
Clock
4 horas para concluir

Week 1: The Computer and the Human

In this week's module, you will learn what data visualization is, how it's used, and how computers display information. You'll also explore different types of visualization and how humans perceive information....
Reading
15 vídeos (Total de 130 min), 2 leituras, 1 teste
Video15 videos
1.1.1. Some Books on Data Visualization3min
1.1.2. Overview of Visualization11min
1.2.1. 2-D Graphics10min
SVG-example1min
1.2.2. 2-D Drawing9min
1.2.3. 3-D Graphics9min
1.2.4. Photorealism9min
1.2.5. Non-Photorealism5min
1.3.1. The Human10min
1.3.2. Memory12min
1.3.3. Reasoning7min
1.3.4. The Human Retina9min
1.3.5. Perceiving Two Dimensions8min
1.3.6. Perceiving Perspective8min
Reading2 leituras
Week 1 Overview10min
How the Programming Assignments Work10min
Quiz1 exercício prático
Week 1 Quiz20min

2

Seção
Clock
4 horas para concluir

Week 2: Visualization of Numerical Data

In this week's module, you will start to think about how to visualize data effectively. This will include assigning data to appropriate chart elements, using glyphs, parallel coordinates, and streamgraphs, as well as implementing principles of design and color to make your visualizations more engaging and effective....
Reading
11 vídeos (Total de 85 min), 3 leituras, 1 teste
Video11 videos
2.1.1. Data7min
2.1.2. Mapping9min
2.1.3. Charts9min
2.2.1. Glyphs (Part 1)4min
2.2.1. Glyphs (Part 2)6min
2.2.2. Parallel Coordinates8min
2.2.3. Stacked Graphs (Part 1)5min
2.2.3. Stacked Graphs (Part 2)6min
2.3.1. Tufte's Design Rules12min
2.3.2. Using Color11min
Reading3 leituras
Week 2 Overview10min
Programming Assignment 1: Visualize Data Using a Chart10min
Programming Assignment 1 Rubric10min

3

Seção
Clock
4 horas para concluir

Week 3: Visualization of Non-Numerical Data

In this week's module, you will learn how to visualize graphs that depict relationships between data items. You'll also plot data using coordinates that are not specifically provided by the data set....
Reading
8 vídeos (Total de 72 min), 3 leituras, 1 teste
Video8 videos
3.1.1. Graphs and Networks8min
3.1.2. Embedding Planar Graphs11min
3.1.3. Graph Visualization13min
3.1.4. Tree Maps9min
3.2.1. Principal Component Analysis8min
3.2.2. Multidimensional Scaling6min
3.3.1. Packing12min
Reading3 leituras
Week 3 Overview10min
Programming Assignment 2: Visualize Network Data10min
Programming Assignment 2 Rubric10min

4

Seção
Clock
2 horas para concluir

Week 4: The Visualization Dashboard

In this week's module, you will start to put together everything you've learned by designing your own visualization system for large datasets and dashboards. You'll create and interpret the visualization you created from your data set, and you'll also apply techniques from user-interface design to create an effective visualization system....
Reading
9 vídeos (Total de 73 min), 1 leitura, 1 teste
Video9 videos
4.1.1. Visualization Systems3min
4.1.2. The Information Visualization Mantra: Part 19min
4.1.2. The Information Visualization Mantra: Part 29min
4.1.2. The Information Visualization Mantra: Part 35min
4.1.3. Database Visualization Part: 112min
4.1.3. Database Visualization Part: 28min
4.1.3. Database Visualization Part: 39min
4.2.1. Visualization System Design14min
Reading1 leituras
Week 4 Overview10min
Quiz1 exercício prático
Week 4 Quiz16min
4.4
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Briefcase

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Money

20%

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Melhores avaliações

por MKApr 6th 2018

Good course, very well structured and with interesting assignments. Some (especially first) lessons are more of a general culture but most are very helpful and allow to learn a lot of things.

por JMJun 4th 2016

I found the class to be very informative. The assignments on creating charts and graphs for large data sets were practical and helped me understand the concepts taught in the course.

Instrutores

John C. Hart

Professor of Computer Science
Department of Computer Science

Sobre University of Illinois at Urbana-Champaign

The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs. ...

Sobre o Programa de cursos integrados Data Mining

The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp. Courses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization....
Data Mining

Perguntas Frequentes – FAQ

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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