DAT490 Course Introduction
and Capstone in Data Analytics (DAT490)
3.5-0.5 (10) 3.5 – 0.5 Class Hours
Prerequisite(s): Course outline for DAT490. This course provides an introduction to statistics and data analysis using the Python programming language.
Topic: Statistics and Data Analysis, Data Science, Introduction to Data Science
Statistical Data Analysis is a collection of various statistical operations applied on real-world data sets in order to extract useful information that can
DAT490 Course Description
Instructor: Dr. Jie Li Class Time & Location: Monday, Tuesday, Thursday 1:30 – 2:45 PM, Room 339 CIP Code: 7.80 Division I Course Description
This course will teach students the skills and tools to make data-driven decisions in a real-world business environment through the design of a data-driven application. Students will become proficient with the fundamental statistical techniques needed to analyze large data sets, develop algorithms for prediction and classification tasks, and learn how
Universities Offering the DAT490 Course
at Columbia University
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University of Michigan (Ann Arbor, Michigan)
The curriculum emphasizes a wide range of concepts and methods used in data analytics. Students develop a number of analytical skills by utilizing analytic techniques to solve problems and make decisions based on data.
Study Level: Postgraduate Certificate
Degree Field: Data Analytics
Subject Area: Business, Economics, Finance
Mode of Study: Part-time, Online or Campus-based
University of Pennsylvania (Philadelphia, Pennsylvania)
DAT490 Course Outline
3. 0 Cr. 3. Prerequisite: DAT490 Course Outline for DAT490 – Capstone in Data Analytics (DAT490) • This course is only offered during the summer term of the year you are enrolled in classes. 3. Delivery Methods: A maximum of three virtual classes per week will be scheduled through Blackboard Collaborate. Required textbooks for this course are listed below and can be purchased from the bookstore or on-line at www.campusbookstore.com . Note:
DAT490 Course Objectives
(1) Demonstrate the ability to apply and extend data analytics for social impact. (2) Apply and extend techniques from multiple disciplines to address complex problems. (3) Develop a strategy for information visualization and system design. (4) Demonstrate understanding of key concepts and principles of digital ethics. This course introduces students to the art of designing, developing, and maintaining computer systems that support social good. Students will also develop the necessary skills for developing software solutions to problems in healthcare, education, finance
DAT490 Course Pre-requisites
Course Level – Undergraduate Units of Credit – 3.0 Assessment Mode Assessment Type – Written Examination (60%); – Practical Project (40%) Course Description The purpose of this course is to offer students a hands-on experience in applying the concepts and methods developed in Data Analytics I in a real-world setting.
The topics will be covered on topics such as data management, data mining, predictive modeling, data visualization, database design and implementation, programming languages, and advanced topics such as recommender systems,
DAT490 Course Duration & Credits
for the School of Business at UCF
Course Credits for DAT490 – Capstone in Data Analytics (DAT490) at UCF
The course count is for the term during which this course is offered. Please click on the “View Courses” link above to see a full list of courses that make up a given class term.
In addition, you can view specific course information and status by selecting one of the three menu options below.
Student Course Requirements
Student Course Requirements: Select this option to
DAT490 Course Learning Outcomes
Module 1: The Course Introduction (DAT490) Module 2: The Data Industry (DAT490) Module 3: A Day in the Life of a Data Scientist (DAT490) Module 4: Working with Data Science Tools (DAT490) Module 5: Model Evaluation and Validation (DAT490)
The Civil Engineering Department offers two advanced academic degrees leading to the Master of Science degree: a Master of Science in Civil Engineering and a Master of Science in Construction Management.
Within the Department
DAT490 Course Assessment & Grading Criteria
(25% of course grade) The objectives of this course are to allow you to apply the tools and techniques of data science and analytics to a real-world problem. You will have opportunities to choose an industry challenge that is relevant to your personal interests and skills, develop a business case for the problem, and create a solution using best practice methodologies.
Before taking this course, it is recommended that you take DAT200: Introduction to Data Science which covers the fundamental concepts in data science and enables you to be
DAT490 Course Fact Sheet
Course description: This course is designed to develop students’ skills in developing a data driven solution to an application problem or opportunity that meets the mission and strategic goals of a business, government agency, or other entity. The course focuses on problem definition and acquisition, design and testing of analytic solutions using the web analytics tools. Students will be required to apply their knowledge of statistics, data analysis, relational databases and programming (in any language) to real world business problems. 2. Human Resources & Organizational
DAT490 Course Delivery Modes
Different modes of course delivery for DAT490 – Capstone in Data Analytics (DAT490) are listed below
Lecture Mode: This mode involves face-to-face interactions between students and teacher. The teacher assigns the tasks and also decides the class schedule.
Discussion or Presentation Mode: In this mode, students share their research ideas with peers in a lecture format. It is optional but highly recommended.
Homework and Practice Mode: In this mode, the student needs to work on assignments given
DAT490 Course Faculty Qualifications
The Capstone in Data Analytics (DAT490) is a unique capstone course for students to develop a project proposal for their senior year in the Data Analytics major. In this course, students will build a web application from scratch that solves real-world problems and present the solution to an industry partner.
This course has two parts: Part I (approx 10 weeks of work) will be completed in the fall of senior year. Students will complete each part in stages over the summer
DAT490 Course Syllabus
at Northwestern University in Fall 2019: DAT490 Course Syllabus for DAT490 – Capstone in Data Analytics (DAT490) at Northwestern University in Fall 2019. Search this site. DAT 490: capstone in data analytics — fall 2018 (pdf) “summarizing” a dataset using the r package ggplot2. DAT 489. I got A’s on all of my classes. net has ranked N/A in N/A and 5,398
Suggested DAT490 Course Resources/Books
at Carnegie Mellon University
Capstone in Data Analytics (DAT490) The Department of Computer Science at Carnegie Mellon University is pleased to offer the Capstone in Data Analytics (DAT490) course that focuses on applying and integrating data analytics skills with technological and professional applications. Students will learn about creating, managing, analyzing, visualizing, and communicating data, as well as communicating how to make decisions based on data.
1.5 CR N/A
DAT490 Course Practicum Journal
Course Practicum Journal for DAT490 – Capstone in Data Analytics (DAT490) Prerequisite: DAT490 – Capstone in Data Analytics (DAT490) Credit Hours: 1
In this course, you will have the opportunity to apply your skills and knowledge acquired throughout the course of this program toward an end product. This end product could be a digital product that is used to solve a real-world problem or it could be a publication such as a website or paper. In either case, you
Suggested DAT490 Course Resources (Websites, Books, Journal Articles, etc.)
at Boston University
– Capstone in Data Analytics (DAT490) at Boston University The below link will provide you with the website link for our CDM Final Project.
Please note that some resources will need to be purchased by students before the project can begin.
DAT490 Course Project Proposal
Course Project Proposal for DAT490 – Capstone in Data Analytics (DAT490)
Instructor: Jing Xu
Course Details: Prerequisites:
Students will be admitted to DAT490 based on their performance on DAT490 course project proposal. There are no prerequisites for this course.
About the Project:
The goal of this capstone project is to enable you to develop
DAT490 Course Practicum
Course Number: DAT490
Semester(s) Offered: Summer Quarter Credit Hours: 4
The capstone course for the Data Analytics Concentration in the School of Business is a three-unit (3) credit co-op course that allows students to demonstrate the completion of all requirements for the concentration. Students will complete a data analytics project designed and implemented by themselves or through collaboration with an industry partner. The course is designed to allow students to expand on their understanding of business processes and
Related DAT490 Courses
To learn more about the program, please visit our website.
Weekly lecture classes of 3 hours each (in Person).
Weekly mentoring for students during their 2nd semester.
at University of Washington (Seattle) (Seattle, WA) – StudyBlue
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Final Exam for DAT490 – Capstone in Data Analytics (DAT490) at University of Washington (Seattle)
A final exam for DAT490 – Capstone in Data Analytics 1.0 credits from
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What Should Students Expect to Be Tested from DAT490 Midterm Exam
Our data analysis and statistics experts offer DAT490 – Capstone in Data Analytics (DAT490) Midterm Exam Assignments answers, DAT490 – Capstone in Data Analytics (DAT490) Midterm Exam Test Bank , DAT490 – Capstone in Data Analytics (DAT490) Homework Answers with step-by-step explanations. Our answers explain actual DAT490 – Capstone in Data Analytics (DAT490) exam question
How to Prepare for DAT490 Midterm Exam
at North Park University
View sample Q&A for DAT490 Midterm Exam for DAT490 – Capstone in Data Analytics (DAT490) at North Park University
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There are many ways that Big Data technologies have changed the face of the retail industry. By combining social media with real-time customer feedback, companies are able to gather insights that they would not have been able to obtain without a giant data stream.
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DAT490 Final Exam – Capstone in Data Analytics (DAT490)
Instructors: David Jorgensen and Nikos Delicatou
Final exam questions generated by Top 100 pages of Google for DAT490 – Capstone in Data Analytics (DAT490) from the University of Central Florida.
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Data Analytics: Design, Implementation, and Management (DAT490) Q&A
I was extremely satisfied with the course material. The course content was thorough and the instructor was very helpful.
—Joel Stewart, BA Hons (Hons Data Analytics), University of Birmingham
DAT490/PSY490W Principles of Neuropsychology Capstone Exam (Test) – Problems and Solutions
Dealing with the Problem of Addiction in a Transgenerational
Top 100 AI-Generated Questions
at University of California, San Diego (UCLA) – Class Central
– TOPICS IN DATA ANALYTICS
The course will cover the following topics:
Data Driven Decision Making
– What is Data Driven Decision Making? Why do we want to use Data Driven Decision Making in practice?
– How do we measure performance or change in decision making?
– What are the different types of data that we can use in our decision making?
– What are the different sources
What Should Students Expect to Be Tested from DAT490 Final Exam
at Northwestern University
Capstone in Data Analytics (DAT490) at Northwestern University
DAT490 – Capstone in Data Analytics – Final Exam
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Additional details about the course may be found on the Course Detail page of the current course catalog.
Final Exam Instructions:
How to Prepare for DAT490 Final Exam
at University of Central Florida
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A: DAT490 Final Exam – Capstone in Data Analytics (DAT490) – UCF, College of Computing
EXAM DESCRIPTION: This exam consists of 3 parts. Each part is worth 50 points and counts as one-third of your grade.
Part A: The client (20 points)
Part B: Theory and practice questions (30 points)
Part C: Final exam (30 points)
PART A: THE CLIENT (
Final Exam Questions Generated from Top 100 Pages on Bing
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Final Exam Questions Generated from Top 100 Pages on Google
1. a) A file with 50,000 files was processed using cltest and passed on to cluster in less than 8 minutes. b) If the total time for processing is reduced by 40%, then only 5,000 of the files will be processed in less than 8 minutes. c) In order to process data faster, more data should be processed at each cluster iteration. d) As the load increases on each cluster, more data should be processed in parallel.
Week by Week Course Overview
DAT490 Week 1 Description
This tutorial was purchased 3 times & rated A+ by student like you. DAT490 Week 1 Description for DAT490 – Capstone in Data Analytics (DAT490) This tutorial was purchased 3 times & rated A+ by student like you. http://www.shoptutorial.com/product/dat490-week-1-description-for-dat490-capstone-in-data-analytics-dat490/ Write a 2 page paper discussing the objectives of the data analysis capstone project and indicate how that capstone will
DAT490 Week 1 Outline
1. Defining Data Analytics (4): a. Type of analytics b. Value of analytics c. Why data analytics? 2. Modeling for Decision Making (4): a. Types of models b. Modeling vs. Simulation (with examples) 3. Data Cleansing, Organizing, and Transforming (3): a. Review the concepts of data cleansing, organization, and transformation b. Data cleaning vs. transforming i.
Capstone in Data Analytics: DAT490 Week 1
DAT490 Week 1 Objectives
Each week you will be expected to complete a task to demonstrate your competency in each of the areas covered in the course. The tasks are designed to assess your competencies. Completing this task will take 30 minutes per day for one week. – Data Analytics (DAT490) Week 1: Introduction to Data Analytics This week, you’ll explore the data sources available to you in Salesforce and decide how best to process them based on what they are telling you about your customers. You’ll learn how
DAT490 Week 1 Pre-requisites
DAT490 Week 1 Discussion Question 1 (UOP Course) Read more…
DAT490 Week 1 Discussion Question 2 (UOP Course) Read more…
UOP ECO 310 Entire Course For more course tutorials visit www.uoptutorial.com Uop ECO 310 Week 1 DQ 1 The Effect of the Oil Spill on Global Warming Uop ECO 310 Week 1 DQ 2 Opportunities and Threats from the Use of
DAT490 Week 1 Duration
Data Analytics Capstone Student Name Institutional Affiliation DAT490 – Capstone in Data Analytics (DAT490) The capstone course is designed to help you master the advanced analytics skills that are required for a successful career in business intelligence, data science, and analytics. In this course, we will focus on three areas: 1) data mining and machine learning 2) big data processing and analysis 3) visualization and reporting. After completing the capstone course, you will be able to perform in
DAT490 Week 1 Learning Outcomes
– BrainCandy Case Study
In this course, you will learn the core concepts of data analytics and predictive modeling.
This course is for you if you have no previous background in computer science or statistics and want to get started with data analysis. It assumes some prior knowledge in computer science, mathematics, and statistics. This course is also appropriate for those who have taken or are currently enrolled in one of the following introductory data analytics courses: CS1620 or CS1625; CS3031; CS
DAT490 Week 1 Assessment & Grading
Answer Keys for DAT490 Week 1 Assessment & Grading for DAT490 – Capstone in Data Analytics (DAT490)
Read the article “A Look at the Front End of Predictive Analytics” by David W. Pogue on p. 5-6 in your textbook.
The article discusses a case where 30% of a customer base is expected to switch from “Laundry Machine” to “Laundry System.” The owner of this business has decided that
DAT490 Week 1 Suggested Resources/Books
– Capstone in Data Analytics (DAT490) Introduction to Data Analytics is a one-semester course designed to introduce students to data analytics and data science in the business world.
The objective of this course is to teach students how to analyze, visualize and use large quantities of information for business decisions. The first two chapters cover various areas of data analysis, including descriptive statistics, probability distributions, forecasting techniques, and an introduction to matrix algebra. These concepts will be used throughout the rest of the course.
DAT490 Week 1 Assignment (20 Questions)
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DAT490 Week 1 Assignment Question (20 Questions)
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DAT490 Week 1 Assignment Question (20 Questions) For more course tutorials visit
1. You are planning to purchase a car from a private seller online but have a limited budget. What steps should you take to ensure you
DAT490 Week 1 Discussion 1 (20 Questions)
Discussion 1: Analyzing the Risk of Supply Chain Product Conflicts What is a product? A product is something that you physically see, touch, or feel. It’s an item or service that is tangible and of value to the consumer. Companies produce products to meet their needs. Often, they are manufactured goods with an element of creativity involved. Like books and music, products can be produced in large quantities to sell in large numbers. Product design processes are becoming more complex due to technological advances and
DAT490 Week 1 DQ 1 (20 Questions)
for College Students
a 1000 word essay on current events in the news and on the web will be provided to you as a homework assignment before class today. It should cover the following:
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I’m looking for a very reliable and honest person to do this project for me.
The project is only one page long, therefore I expect you will have many hours available to complete it.
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DAT490 Week 1 Discussion 2 (20 Questions)
Capstone in Data Analytics (DAT490) Online Course
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DAT490 Week 1 DQ 2 (20 Questions)
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DAT490 Week 1 Quiz (20 Questions)
for $19.99 at VIP Learning Group.
This course provides students with knowledge of the essentials of supply chain management, including a detailed look at the basic principles and elements of supply chain management, and focuses on the development of skill sets that can be applied to careers in all areas of the supply chain including operations, planning, purchasing, transportation, sales and marketing. In addition to an overview of each area, this course emphasizes how real-world situations are tackled in the classroom. The course then moves into
DAT490 Week 1 MCQ’s (20 Multiple Choice Questions)
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DAT490 Week 2 Description
for (ANSC 490) *For more course tutorials visit
W. M. Dement, S. Olander and P. J. Norman, Cognitive Psychology: Its Development and Evolution (3rd ed.). New York: Worth Publishers, 2011.
The ability to think abstractly requires the ability to solve problems in ways that are meaningful and appropriate to the problem being solved. The process of solving problems consists of a number of stages which
DAT490 Week 2 Outline
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DAT490 Week 2 Learning Team Assignment Data Analytics Plan with SWOT Analysis (CAT490) $10.00 add to cart
DAT490 Week 3 Individual Assignment: Challenges in Healthcare Analytics for the Future (ACC490) $10.00 add to cart
DAT490 Week 3 Learning Team Assignment: Using Business Intelligence Tools for Analytics and Reporting (KCT490) $10.00 add to cart
DAT490 Week 4 Individual Assignment:
DAT490 Week 2 Objectives
A. Participate in a team or individual CAPSTONE project (e.g., reading client data and developing analytic solutions) B. Apply capstone principles C. Employ 21st century technology D. Evaluate performance and write an audit trail E. Write an Executive Summary for the Client F. Learn to effectively communicate analytic results G. Apply material from other course objectives H. Develop your SQL skills I. Create a deliverable J. Become a strong leader K. Build relationships with colleagues L. Work in
DAT490 Week 2 Pre-requisites
– Capstone in Data Analytics (DAT490) – DAT490 Week 2 Pre-requisites for DAT490 – Capstone in Data Analytics (DAT490)
Week 1 Discussion
This week’s module includes two discussion questions, “How much of the credit should we assign to the fact that Bill Gates co-founded Microsoft?” and “Give an example of a software tool you found useful during your work experience.” Students are expected to post an initial response to both discussions by Wednesday of each week. The
DAT490 Week 2 Duration
Posted Date: 3/27/2017 1:58:39 AM | Location : United States
When is it done? This question is only to be answered in the following ways: a) By definition, the process of designing an information system is a time-consuming and complex pr
Explain de-prioritization in DMS solution. Ans) In DMS DEPRIORITY should be configured for cases where criticality ranking has been configured and defined as low high
DAT490 Week 2 Learning Outcomes
Capstone in Data Analytics (DAT490) This course is designed to challenge you as a student and as a learner. The online DAT 490 week 2 learning outcomes include: Learning Outcomes for DAT490 – Capstone in Data Analytics (DAT490) In this course, you will learn about data analytics, what it entails, and how it applies to your career path. You will also discuss the data tools and techniques you should be familiar with in this field. Finally, you will review the
DAT490 Week 2 Assessment & Grading
Check this A+ tutorial guideline at
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Due Date: Week 2 (Feb 3)
Late Policy: After the due date and in accordance with the syllabus, only one grade may be granted for work submitted late. All assignments will be given a
DAT490 Week 2 Suggested Resources/Books
for Florida Atlantic University Online
Florida Atlantic University Capstone in Data Analytics (DAT490) DAT490 Week 2 Suggested Resources/Books for DAT490 – Capstone in Data Analytics (DAT490) for Florida Atlantic University Online
Type: Complete Question Paper | Last Updated: 18th Feb, 2021
1. In this exercise,
DAT490 Week 2 Assignment (20 Questions)
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DAT490 Week 2 Assignment Question (20 Questions)
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Solution for assignment #3 in DAT492 Capstone in Data Analytics (DAT492)
DAT490 Week 2 Discussion 1 (20 Questions)
Discussion 1 (20 Questions) for DAT490 – Capstone in Data Analytics (DAT490) Discussion 2 (20 Questions) for DAT490 – Capstone in Data Analytics (DAT490) Read more about DAT490 Week 2 Assignment #1: Capstone Project
this assignment is required.
the work will be due on Tuesday June 26, 2018 at midnight
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DAT490 Week 2 DQ 1 (20 Questions)
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DAT490 Week 2 Discussion 2 (20 Questions)
– The University of Alabama
Write a 250- to 400-word discussion post on the following topic:
Data analytics is the process of extracting meaningful information from raw data. Many organizations are looking to adopt data analytics in order to gain an advantage over their competitors. In this week’s Discussion, you will address how businesses can leverage data analytics to compete more effectively.
Create a 350- to 700-word response post in which you discuss how you plan to approach and utilize data analytics within your organization
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In this DAT490 Week 2 Quiz (20 Questions) you will have the opportunity to test your understanding of the course content in a quiz format. This quiz is designed to identify knowledge gaps as well as weaknesses in your understanding of the course material.
DAT490 Week 2 Quiz
1. What is data mining? (1 point)
A process by which users analyze unstructured data to discover patterns and trends that can be used
DAT490 Week 2 MCQ’s (20 Multiple Choice Questions)
Course – DAT490 Week 2 MCQ’s (20 Multiple Choice Questions) for DAT490 – Capstone in Data Analytics (DAT490)
This package of 20 multiple choice questions includes the following topics: What is your degree in? Explain what you will study in your Data Science Program. What are some courses you may take that relate to Data Science? How many data science courses should I take at the undergraduate level? Why should I choose a degree in data science over other degrees such as Computer
DAT490 Week 3 Description
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DAT490 Week 3 Outline
Capstone in Data Analytics (DAT490) Week 3 Outline for DAT490 – Capstone in Data Analytics (DAT490) Week 3 Outline for DAT490 – Capstone in Data Analytics (DAT490) This tutorial contains the outline for the final project of this course. Students are expected to complete this assignment as an individual exercise. The final assignment is worth 100 points and is due on Tuesday, December 5, 2017. Please download the following file to prepare your Final
DAT490 Week 3 Objectives
– Capstone in Data Analytics (DAT490) – Capstone in Data An