DAT530 Course Introduction
Course Description. What is presentation and visualization of data? This course introduces data presentation and visualization techniques in programming languages, such as R and Python. It will also explain how to visualize data using RStudio IDE for Windows or Linux. You will learn about the visualizations, tools, and techniques used for effective visualizing of data. As a result, you can understand the statistical concepts better by using these visualizations. Who should attend? This course is designed for individuals who are interested in learning about data
DAT530 Course Description
Course Description for DAT530 – Presentation and Visualization of Data (DAT530)
The course presents basic concepts and tools to create visualizations from large data sets, focusing on visualization methods that enable the exploration of a dataset as a whole or in smaller subsets, including maps, graphs, dashboards, and visualizations embedded in web pages. This course uses real-world datasets that have been downloaded from CRAN.
Sherry Ertman Email: se@tamu
Universities Offering the DAT530 Course
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Offered By The University of Alabama in Huntsville, USA
Institution: University of Alabama in Huntsville, USA
Offered By The University of Alabama in Huntsville, USA (HUHS)
DAT530 – Presentation and Visualization of Data (DAT530) offered by the University of Alabama in Huntsville – 1 credits
Subject: Computer Science
DAT530 Course Outline
DAT530 Course Outline for DAT530 – Presentation and Visualization of Data (DAT530) Spring 2017 Course Number: DAT530 Section: 06 CRN: 21179 Delivery Mode: Hybrid Instructor Name: Subject Code: Online / Hybrid Prerequisites: Prerequisite for this course is an Introduction to Statistics class with a score of C or better. There are no prerequisites for this course. Description This course is designed to help students visualize data in order to tell stories using graphs, charts, maps
DAT530 Course Objectives
– Learn how to create and analyze data using Excel, PowerPivot, and PowerView. – Gain skills in the use of Microsoft Visual Basic for Applications (VBA) programming language.
DAT530 Course Outline
DAT530 Course Objectives
Introduction to Excel for Data Analysis
Working with Datasets in Excel
Overview of Datatypes and Data Types in Excel
Using the Data Validation Feature to Control User Input.
Use Advanced Filter Options in Excel for Data Analysis.
DAT530 Course Pre-requisites
Course Description: The use of visualization in data analysis is an increasing trend in today’s scientific environment. The ability to visualize, structure, and communicate data will aid scientists in presenting their results in a way that will be understood by both a non-specialist audience and the professional researcher. This course will introduce students to the use of various software programs to create graphs, graphs of data, tables, charts and other forms of visualizations of data. Students will also become acquainted with the concept of “visualization”
DAT530 Course Duration & Credits
The DAT530 course duration & credits is 2.0 clock hours and the DAT530 course duration & credits for full time study is 1.0 clock hour.
This course discusses the fundamentals of designing and presenting effective data visualizations. Students will learn how to identify common errors in data visualization and how to recognize the limitations of various visualization techniques. Throughout the course, students will be challenged to improve their visualizing skills by creating graphs, charts, and maps for a wide variety of
DAT530 Course Learning Outcomes
The following learning outcomes for DAT530 are covered in the course: 1. Describe data sources and structures. 2. Describe file formats and their formats. 3. Explain the uses of metadata in databases. 4. Explain query engines and their functions. 5. Use SQL to manipulate a relational database.
Course Learning Outcomes for DAT530 – Presentation and Visualization of Data (DAT530) More details about the Learning Outcomes for DAT530 are outlined below:
Describe data sources and structures
DAT530 Course Assessment & Grading Criteria
Due Date: 11/14/2017 – Friday Readings and Materials: None All materials will be provided in class. A signed, typed copy of the learning outcomes is required to earn a passing grade on this assignment. This assignment consists of 10% and is worth 50% of your final grade for the course. The final grade on this assignment will be determined by the following criteria:
1) Presentation & Visualization of Data (20%) Each student will present a series of presentations,
DAT530 Course Fact Sheet
This course will teach students to present data in a variety of formats and styles, to communicate with different audiences, and to analyze the results. Students will learn how to manipulate data using graphs, diagrams, spreadsheets and statistical software packages. Students will be able to perform analyses on data in Microsoft Excel, Access and SPSS. This course covers the basic concepts of statistics which are used in a wide range of professions including business, education, engineering, marketing research, social science and science.
DAT530 Course Delivery Modes
UG Course Delivery Modes for DAT530 – Presentation and Visualization of Data (DAT530) 2-1-0-2
This course describes how to use presentation software, such as Microsoft PowerPoint, to produce powerful visualizations of data. The course focuses on the importance of data visualization and covers the use of presentation software to enhance data visualization skills. This is a beginning level course that focuses on quality presentations using presentation software. This class does not cover detailed information about graphics and charts; if you
DAT530 Course Faculty Qualifications
Course Description This course is designed to provide students with the skills necessary to successfully produce a power point presentation to present data gathered from multivariate statistical techniques. The course will focus on content that is relevant to the particular student’s field of study and need for presentation of results. The course will cover all aspects of creating data presentations as well as visualizing and interpreting those visualizations. Upon completion of this course, students should be able to: Understand how to create a visually appealing, clear and concise PowerPoint presentation
DAT530 Course Syllabus
in Spring 2016
Page 1 of 11
Course Title: DAT530 Course Number: DAT530 Credit Hours: 3 Semester Credits Required: Spring/Summer (Yr. 1) Course Fee: $0 Prerequisites/Degree/Certification Requirements:
The course requires familiarity with general statistical concepts and practices. Coursework emphasizes topics such as descriptive, inferential, and causal statistics, and some basic skills in programming or scripting languages. This course is intended for students with backgrounds
Suggested DAT530 Course Resources/Books
Zohar Weinstein, PhD Professor of Computer Science UC Berkeley 511 Haas Hall < email@example.com > Syllabus Fall 2006
Course Syllabus Spring 2015 Department of Agricultural Economics and Rural Sociology (120) I. Course Description The course is designed to provide students with an in-depth understanding of the measurement
General Information: Short Name: MS/PhD: Date: Instructor: Title and Email Address: Office Hours and Location: Course
DAT530 Course Practicum Journal
Writing Assignment in DAT530 Term 2 2016 Janis Jolley, School of Science & Technology, Queensland University of Technology, Brisbane. This course is a 16 credit point required and special graduate entry program to the MSc Statistics with Data Analytics. In this course you will explore various statistical analysis techniques using SAS. The first module will focus on data manipulation techniques using R Programming language and a second module will build your knowledge of statistical analysis including descriptive and inferential statistics. To pass this course
Suggested DAT530 Course Resources (Websites, Books, Journal Articles, etc.)
Week 1: Data, Information, and Technology (9-16-16) David Bausch – “The New Science of Human Behavior” (1987); “Taming the Machine: How to Live in the Information Age”(1998) – The “War of the Worlds” is actually a preview of the rise of machines and advances in machines. Real life examples are briefly discussed. Introduction to Big Data; Discussion on how we can now analyze data using computers; Computers able to
DAT530 Course Project Proposal
– Data Management
Project Proposal for DAT530 – Presentation and Visualization of Data (DAT530) Project Objectives The main objective of this project is to use the following technologies to create a presentation and visualization tool that allows the user to browse, explore, and manipulate data from multiple databases. Users will be able to: Select, organize, and view data using an intelligent search system. Use advanced graphing techniques to display and manipulate data. Use interactive tools to explore complex relationships between a variety of datasets in
DAT530 Course Practicum
Course Code: DAT530 Course Title: Presentation and Visualization of Data (DAT530) Length of Course: 2-3 weeks Credits: 1.5 Purpose This course provides a foundation in all major elements of visualization for data, as well as methods for gathering and displaying data and for evaluating findings. The course addresses problems in which the distribution or structure of the data is important, such as problems in risk assessment, epidemiology, or environmental monitoring. It is designed to prepare students to evaluate data
Related DAT530 Courses
2. Data: “What is Data? What does it mean to be data rich or data poor?” (DAT530) 3. Supervision of Algorithms (DAT530) 4. Interactive Computing, Visualization and Databases (DAT530) 5. Database Systems (DAT530) DAT530 Lecture Notes DAT530 Homework DAT530 Quiz DAT530 Exercises PART A – Statistical Learning Problem SETS 1. The Student Loan market has a lognormal distribution with mean and variance of √
David Donner Department of Statistics Duke University
A toy car problem with some basic formulas.
ECE 568: Lecture 18 Applications of Procedural Reasoning to Data Organization and Manipulation David Donner Department of Statistics Duke University
Lecture 20 Analysis of Variance APL Practice Problem Brian Anglin Statistics Department North Carolina State University.
Data Visualization in Statistical Software David Donner Department of
Top 100 AI-Generated Questions
DAT530 – Neural Networks and Deep Learning in DAT530- Introduction to Deep Learning in Data Science, Learning in Data Science, Machine Learning (Spring 2020)
DAT530 – Intro to Neural Networks and Deep Learning in DAT530, Introduction to Data Science (Fall 2019)
DAT530 – What is Artificial Intelligence? (ATLANTIC SESSIONS) (Fall 2019)
What Should Students Expect to Be Tested from DAT530 Midterm Exam
. This test will cover topics in the following areas. DAT530 Midterm Exam for DAT530 – Presentation and Visualization of Data (DAT530)
DAT530 Midterm Exam for DAT530 – Presentation and Visualization of Data (DAT530) • The exam will be 50 multiple choice questions with 5 minutes for each question, which means a total of 30 minutes to complete the exam. • You may use any source for information in preparing for the exam. Note: Answering this exam does not
How to Prepare for DAT530 Midterm Exam
This presentation and the visualization of data by using JMP software will be covered in this exam.
Midterm Exam Questions Generated from Top 100 Pages on Bing
This is the Class of 2016 version of the DAT530 midterm exam.
July 30th, 9am
You can expect to receive an email in about a week with the final question bank.
Please see the “Exams” section for information about exams and grading.
Midterm Exam Questions Generated from Top 100 Pages on Google
Written on August 16, 2018
1. Suppose that you have a data set of stock prices and an observation period of one year. The stock prices are now available online and they include the following information: (a) How many observations do you have in total? What is the number of observations per year? (b) What is the standard deviation of the stock prices? What is its variance?
(c) How many observations does each month contain? Is
2) Announcements – Research, reading, discussion Assignment: Scoring Rubric and rubric header sheet Due: Midnight on Tuesday, January 17 2019. In class on Wednesday, January 17 if you have any questions. Please email me or look at the assignment description in the course materials for more information. Just do your best! Examples of Visualizations (visualizations can be animated too): (1) Data Presentation made with Tableau (2) Visualization of school attendance data
Top 100 AI-Generated Questions
Hands-on workshop presented by Dr. Haifeng Zhang, Summer 2017 – Class No. 23:10 Building a Knowledge Graph (DAT530) Hands-on workshop presented by Zhenyu Liu, Spring 2018 – Class No. 30:02 Enterprise Data Architecture and Governance (DAT530) Hands-on workshop presented by Dr. Eric D. Rice, Fall 2018 – Class No. 25:08 Introduction to Predictive Analytics (DAT530) Hands-on workshop presented
What Should Students Expect to Be Tested from DAT530 Final Exam
The DAT530 final exam for DAT530 – Presentation and Visualization of Data is an online test on the study material of DAT530 – Presentation and Visualization of Data. To pass this final exam successfully, you should finish all the remaining questions correctly and get at least 50% marks from the total score of 90. The exact time limit for this test is 1 hour.
During the whole test duration, you are allowed 40 minutes to complete it. The test consists of 20
How to Prepare for DAT530 Final Exam
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DAT530 – Presentation and Visualization of Data (DAT530) – SlideShare
Mar 31, 2016Presentation and Visualization of Data (DAT530) CATARINA FERREIRA Department of Biomedical Informatics, College of Medicine, King Saud University, Riyadh-11589 Saudi
Final Exam Questions Generated from Top 100 Pages on Bing
in Microsoft Excel
Where do you get the questions?
Narrow down the topics.
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Table of Contents
Introduction to Data
Definition and Examples of Data Types and Their Characteristics
Data Quality – Frequency, Relative Value, and Accuracy
Descriptive Statistics – Measures of Central Tendency, Measures of Dispersion, and Variability or Spread
Final Exam Questions Generated from Top 100 Pages on Google
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Week by Week Course Overview
DAT530 Week 1 Description
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DAT530 Week 1 Description for DAT530 – Presentation and Visualization of Data (DAT530)
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DAT530 Week 1 DQ 1 What Is the Purpose of a Business Model?
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FORMAT: APA STYLE
This assignment will serve as the basis for your presentation and visualization of data in a series of slides. You will be
DAT530 Week 1 Outline
Due Week 1 and worth 200 points Imagine that you are an industry professional in marketing, advertising, sales, or public relations for a company. You want to use data to make a marketing and/or advertising decision regarding your industry. Design a 20- to 35-slide presentation for this audience. The presentation must include the following: • A title slide • Up to four main body slides with detailed bullet points (at least three bullets) for each slide • An executive summary slide • A “
DAT530 Week 1 Objectives
Paper Check Point: The DAT530 week one assignment provides students with the opportunity to practice using a visualization tool called Tableau. A visualization tool is a software package that allows the user to visualize data using graphs, charts, and tables. This Week 1 Assignment provides students with the opportunity to practice using Tableau. Required: Read the information below and answer the following questions in your response paper: (25 points) • Describe Tableau. Give an example of how you would use Tableau? Explain
DAT530 Week 1 Pre-requisites
Course Details: In this assignment you will learn the design, development and testing of software that interfaces with a large information source, the National Health Interview Survey (NHIS) data. You will also learn how to develop a presentation for visualization of data from the NHIS data, as well as how to generate reports using SQL queries. The final project should be used for demonstration purposes during which you can show that the student has achieved the learning objectives.
DAT530 Week 1 Duration
For more course tutorials visit
www.uoptutorial.com Week 1 – Duration for DAT530 Week 1 – Presentation and Visualization of Data (DAT530) Learn how to create your own package and perform simple operations using the package. The goal is to understand how to write
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DAT530 Week 1 Learning Outcomes
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Day 2: The Visualization of Data – . slide 5, what’s new in java 7. slide 8, strings. you can insert strings into your java program with the
Week One: Data Structure and Algorithms – . lecture notes #3, chapter 1 (notes on “data structures”)
DAT530 Week 1 Assessment & Grading
Describe the project, rationale, and desired outcomes for this project. Provide a rationale for your ideas. Identify a specific problem that will be solved by the proposed solution. Design and implement a prototype of the proposed solution in which you will clearly illustrate your rationale and desired outcomes. Develop user interfaces to communicate the proposed solution to all parties involved with the development and implementation of the algorithm: client, server, database, graphics designer, etc.
DAT530 Week 2 Assignment Presentation
For your Initial Post
DAT530 Week 1 Suggested Resources/Books
WEEK 1 DQs DAT530 Week 1 DQs – Presentation and Visualization of Data
Write a presentation in Powerpoint that clearly displays data in the form of graphs and charts. In addition, answer the following questions: How does each graph or chart improve on the previous?
How are you able to generate these graphs or charts?
How can you use these graphs or charts to communicate the statistical significance of your findings? Suggested Resources/Books for DAT530 – Presentation and Visualization of Data
DAT530 Week 1 Assignment (20 Questions)
Includes: 1. Presentation (10 questions) for DAT530 Week 1 Assignment 2. Visualization of data (10 questions) for DAT530 Week 1 Assignment
Chapter 1: The Scope of Data Science
Chapter 2: Data Analytics and Business Intelligence
Chapter 3: An Introduction to the Database Management System (DBMS)
Chapter 4: Data Warehousing, Analytics, and Big Data
Chapter 5: R Programming for Statistical Analysis Week 2
DAT530 Week 1 Assignment Question (20 Questions)
for DAT530 Week 1 Assignment Question (20 Questions) for DAT530 – Presentation and Visualization of Data (DAT530) For more classes visit www.dat500dotcom
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DAT530 Week 1 Discussion 1 (20 Questions)
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DAT530 Week 1 DQ 1 (20 Questions)
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DAT530 Week 1 Quiz (20 Questions)
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DAT530 Week 1 MCQ’s (20 Multiple Choice Questions)
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DAT530 Week 2 MCQ’s (20 Multiple Choice Questions) for DAT530 – Presentation and Visualization of Data (DAT530) 20 Multiple Choice Questions | 1200 Words | 7 Sources | APA | Category: Information Technology – Questions – By Chris
DAT530 Week 2 Description
Week 2 Learn about the technology of presentation and visualization that are used in business information systems. 5 pages, 3 images, and 1 table.
DAT530 Week 2 Description for DAT530 – Presentation and Visualization of Data (DAT530) week 2 There is a technique called “design patterns” that shows you how to apply creative thinking in designing the visualizations of data. Through this technique, we can find out what design methods are used in data visualization. Design methods include:
DAT530 Week 2 Outline
– Class (ENT3002) 1. Identify and explain the components of a database and identify the types of data used in databases. Explain how the design and implementation of a database system affect application development. (3 points) 2. Define the following terms: normalization, normalization technique, referential integrity, and foreign key constraint 3. Explain why many people use relational database management systems (RDBMS). Provide examples for each of your reasons 4. Create a database with an employee
DAT530 Week 2 Objectives
DAT530 Week 2 Discussion Question 1 (4 Points) $5.00 Details
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DAT530 Week 3 Learning Team Assignment Data Visualization with Tableau Part I and II (10 Points) $15.00 Details
DAT530 Week 3 Discussion Question 1 (4 Points) $5.00 Details
DAT530 Week 3 Discussion Question 2 (
DAT530 Week 2 Pre-requisites
Submitted: 2/19/2017 7:11 PM
Accepted: 2/23/2017 12:34 AM
Source Code for Assignment
DAT530 Week 2 Pre-requisites for DAT530 – Presentation and Visualization of Data (DAT530)
This assignment is due on the first day of class.
Your assignment will be graded based on how well you meet the following requirements:
• You have created a data visualization presentation that explains your topic, or has been approved by
DAT530 Week 2 Duration
Description: If you are going to write an extended report for the presentation and visualization of data, then you will need a visualisation. First, draw graphs that illustrate your data by using the following steps: Step 1 – Describe your data. (The drawing is up to you.) Step 2 – Explain what is going on with your graph by describing the key characteristics of it. (A complete description is up to you, but keep in mind that most graphs are not direct reports. Therefore,
DAT530 Week 2 Learning Outcomes
Week 2 Learning Outcomes for DAT530 – Presentation and Visualization of Data (DAT530) Part 2
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– Email To:
Dear Client, This week you will be looking at two different types of data visualization that were used in the Theatres. One of the things we are looking at is a spreadsheet that was used to present data to management. The other is a piece of software that allows
DAT530 Week 2 Assessment & Grading
Entire Course Week 2 Assessment & Grading for DAT530 – Presentation and Visualization of Data (DAT530) Entire Course Week 2 Assignment 1: Presentation and Visualization of Data (30%):Create a presentation and visualization of a real-world problem that the client is facing. Your presentation should include at least two key components: 1) A title slide with your name, course, and week number, followed by the title of the project. 2) A final slide showing screenshots from your
DAT530 Week 2 Suggested Resources/Books
(Complete Class) You will submit a 5-10 minute presentation to your classmates as part of the class. This is due in Week 6.
Software Demo: DAT530 Week 2/3 Suggested Software Demo/Report – Presentation and Visualization of Data (DAT530) (Complete Class) You will submit a 5-10 minute report to your classmates that describes the software used to create the demonstration or example you created.
Week 3 Suggested Software Demo/Report – Presentation and
DAT530 Week 2 Assignment (20 Questions)
Using the provided framework, create a two to three (2-3) slide Microsoft PowerPoint® presentation that will provide viewers with an understanding of the information presented and how it is organized in the data. The information presented should be focused on using a combination of pictures, graphs, and tables to tell the story. The template includes a basic template for the beginning slides. All slides must include a Title Slide, Contents Page, and Reference List slide. Title Slide Format: This slide should have your title and
DAT530 Week 2 Assignment Question (20 Questions)
– Homework Help
In this assignment, you will learn how to interpret and create real-time data visualizations using Tableau. By completing this assignment, you will:
● Learn how to use Tableau to display data in real-time.
● Identify key features that Tableau can provide to help users improve the accuracy of their data.
● Describe the differences between a multidimensional and hierarchical view of data.
● Analyze how different factors can affect the time-series of your time-series data.
● Identify the
DAT530 Week 2 Discussion 1 (20 Questions)
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DAT530 Week 2 DQ 1 (20 Questions)
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DAT530 Week 2 Discussion 2 (20 Questions)
Week 2 Discussion 2 (20 Questions) for DAT530 – Presentation and Visualization of Data (DAT530)
Lecture, Lecture notes, Teaching materials
Week 1 Assignment: Case Study (100 Points) Week 1 Assignment: Case Study (100 Points)
Lecture, Lecture notes, Teaching materials
Week 1 Readings: No Readings Week 1 Readings: No Readings
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DAT530 Week 2 DQ 2 (20 Questions)
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DAT530 Week 2 Quiz (20 Questions)
Week 2 Quiz (20 Questions) for DAT530 – Presentation and Visualization of Data (DAT530) Complete the following questions: 1. What is a key statistics that should be used to explain the three different sample sizes in your study? Explain why you chose this key statistic and how it relates to your findings. 2. Researcher A uses sampling techniques, however, researcher B uses a probability sampling method. Which method would be more appropriate for his study? Explain why you
DAT530 Week 2 MCQ’s (20 Multiple Choice Questions)
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DAT530 Week 3 Description
For more classes visit www.dat530tutorials.com Week 3 The model is an implementation of Markov Chain Monte Carlo (MCMC) technique. It uses the Metropolis algorithm to generate a set of parameters in a discrete and continuous domain. Through the model, users can choose their desired sampling rate and confidence level, hence choosing the most appropriate MCMC algorithm for their experiment.
POPT 430 Week 2 DQ 2
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DAT530 Week 3 Outline
This tutorial was purchased 3 times & rated A+ by student like you. There are many available options for high quality image files and videos, but the range of file formats available can be confusing. DAT530 Week 4 LATE PAPER (Week 4) ASSIGNMENT: 2-Dimensional Scatterplot and Multivariate Analysis Assignment Due Week Four This assignment is due in Week Four at the start of class on Monday of Week Four. Predesigned and fully customizable datasheets are delivered with
DAT530 Week 3 Objectives
1. Describe the relationship between a set of data objects and their entities. (DAT530) 2. Create, edit, and delete objects in a database management system. (DAT530) 3. Use the SQL query language to build and execute queries against relational da