DAT210 – Foundation of Data Analytics DAT210 – Exclusive Course Details

DAT210 Course Introduction



This course introduces the student to the fundamental principles of data analytics. The course will provide a foundation in both quantitative and analytical methods, as well as some introductory programming techniques. Through case studies, the student will gain an understanding of how data can be used for decision making in organizations.

Learning outcomes

By the end of this course students will have:

– an introduction to data analysis and data science;

– an understanding of key concepts and approaches in data analytics;

– a

DAT210 Course Description

The course is intended to provide students with an understanding of the foundations of data analytics and the role that these tools can play in a company’s decision making. The course will start by reviewing the fundamental concepts and techniques used in digital analytics, such as data visualization, hypothesis testing, exploratory data analysis, and model building. The second part of the course will focus on describing how these concepts apply to real world situations. In this section, the class will first cover topics like business relevance and how to use

Universities Offering the DAT210 Course

– Courses – University of Houston, Spring 2020

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Big Data Analytics (BDA) course is designed for professionals working on big data management, machine learning, and analytics. It

DAT210 Course Outline

(1 credit) This course is designed to introduce students to concepts in data analytics, and the language of data. Topics include collection, organization, analysis, reporting, visualization and presentation of data. Students will learn how to use online tools for collecting, organizing and analyzing data. Data Science Advanced Courses (DAT205 & DAT210) Class No. Credit Hours Prerequisites TA Office Hours Lec Labs Lab Notes; DAT205: Introduction to Machine Learning: 3: 3: Demonstrate proficiency in

DAT210 Course Objectives

Foundations of Data Analytics focuses on understanding the methodology and technical tools used for collecting, storing, manipulating, analyzing, and reporting on data. Students will understand the basics of what is required for data analytics: business problem analysis, database design and modeling, query languages (e.g., SQL), data warehousing (including dimensional modeling), business intelligence (including data mining) and the role of statistics in decision making. Upon completion of this course students should be able to: • Explain a general framework for building data

DAT210 Course Pre-requisites

Course Objectives

At the end of this course, students will be able to:

Course Syllabus

1. Basic Concepts of Data Visualization

2. The Data Visualization Life Cycle

3. Measuring and Modeling Data (Data Structure)

4. Performance Evaluation: Test data preparation (models)

5. Testing the performance of models

6. Testing classification models in RStudio

7. Realistic training dataset on Keras for creating fully automated machine learning models in Python for regression.


DAT210 Course Duration & Credits

Course Type Online Course
Credits 3 Total Time 1 Year
Delivery Method Self-Paced

Description for DAT210 – Foundation of Data Analytics (DAT210) – Online Course

What you’ll learn in this online course:

– How to determine the right data analytics platform for your business.
– How to create a data strategy based on the specific needs of your business.
– How to analyze data and derive insights from it.
– Create an actionable plan using data analytics.
– How to use structured

DAT210 Course Learning Outcomes

1. Understand how to deal with data and its analysis from various perspectives 2. Understand how to organize data into meaningful information 3. Understand how to represent data in a form that can be understood by a decision maker 4. Apply the various methodologies used in Data Analytics, and their utility in making decisions

DAT210 Course Learning Outcomes for DAT210 – Foundation of Data Analytics (DAT210) 5. Apply what they have learned in data analytics in practical problems using real world examples

DAT210 Course Assessment & Grading Criteria

DAT210 Course Assessment & Grading Criteria for DAT210 – Foundation of Data Analytics (DAT210) Read the course outline, review the course syllabus, and view the assignment requirements below. These are the steps to success for completing this course assignment, so take your time and read through them carefully. Use them as a guide to help you organize your thoughts before you begin. It is recommended that you discuss these ideas with your instructor or advisor before beginning this assignment. Your goal is to write a comprehensive

DAT210 Course Fact Sheet

Course Details The course will help the students to learn the skills needed to gain a foothold in the data analytics and business intelligence sector. It also provides an overview of the core concepts that are of significance to data scientists, analytics engineers, data analysts, and data architects. It will help students understand the basic principles underlying data science and their importance in today’s world.

DAT210 Course Delivery Modes

at University of Strathclyde is a Distance learning mode.

In this Course, an individual will learn to use R. Now you have learned about these new data types (strings and matrices) in the previous modules and have also done some practice with them. 0-r0 on PythonAnywhere. If you like to build applications for Windows with the Power BI Desktop and you are looking for a Microsoft Power BI Certification, then you should consider taking the Microsoft Certified: Power BI Developer exam (AZ-

DAT210 Course Faculty Qualifications

Course Student Qualifications for DAT210 – Foundation of Data Analytics (DAT210) Score Details Total Percentile Rank 7.5% 65/2072 14th percentile Individual ID : 60% of total score

Total Percentile Rank : 42/2072

Individual ID : : 60% of total scoreTotal Percentile Rank : : 42/2072 Category General/Business/Career Infosys Software Recruitment Drive: Apply Now! Position Dynamics and Job Responsibilities:

DAT210 Course Syllabus

DAT210 2015-16 Course Syllabus for DAT210 – Foundation of Data Analytics (DAT210) Page 1 of 10 DRUG DEVELOPMENT LAB MANUAL The aim of this laboratory is to understand the drug development process and give students practical hands on experience. A problem-solving approach is taken in all steps of the course. The laboratory aims to develop students’ analytical, computational, communication and interpersonal skills. The instructor will introduce some basic concepts of data analysis, data mining and big data

Suggested DAT210 Course Resources/Books

– Open Yale Courses (OYCE) Online Course Repository

DAT210 Week 1 Quiz

Previous question Next question

The only acceptable value is either true or false. To answer this question, you need to understand the meaning of the following:

True: A binary system generates only one bit at a time.

False: Binary systems have been used to represent real numbers for hundreds of years.

Question 2 True False Question 3 True False Question 4 True False Question 5 True False The

DAT210 Course Practicum Journal

course, and complete the following online assignments: https://uwaterloo.ca/learning-information-and-technology/data-analytics/datasets/data-set-creation-data-models-datase

Suggested DAT210 Course Resources (Websites, Books, Journal Articles, etc.)


The book DAT210: Foundations of Data Analytics (ISBN-10: 1491918724, ISBN-13: 978-1491918726) by James T. Anderson is an excellent introductory course text for the data analytics course at the undergraduate level. There are many resources available online as well as on CD-ROM that are valuable for learning more about data analytics.


Essential Data Analytics with R | Wiley [Amazon.com] ISBN: 9781119017025 |

DAT210 Course Project Proposal

Date Submitted: 11/22/2018 5:10:20 PM | Current Rating: Not Rated | Rate this Course | Read Comments (0) | Printer Friendly
Course Project Proposal
I. Purpose The purpose of the course project is to provide students with hands-on experience in building a data analytics model that solves a real-world problem. The goal is to have students develop a project that utilizes tools and techniques they have learned from the course content and courses taken during their degree program.

DAT210 Course Practicum

– School of Computer Science and Information Systems

Course Description

The course is designed to provide students with the basic tools, techniques and principles that are the foundation of data analytics and help students become better data scientists. The course will be a mix of lectures, case studies and assignments.

Course Goals

Students will acquire skills to develop and analyze analytical data models, including statistical modeling techniques, classification models, decision trees and neural networks using R.

Students will acquire skills in the use of descriptive statistics tools such as

Related DAT210 Courses

may be offered by following schools. Most DAT210 – Foundation of Data Analytics (DAT210) courses are offered online and via evening/weekend classes.

The University of Texas at Austin The University of Texas at Austin

Texas A&M University Texas A&M University

University of Maryland, Baltimore County University of Maryland, Baltimore County

University of Wisconsin, Madison University of Wisconsin, Madison

University of Connecticut University of Connecticut

University College London University College London

Virginia Commonwealth University Virginia Commonwealth University


Midterm Exam


10:00 AM – 12:00 PM

808 South Building, Room 807, Student Union (SB), Salt Lake City, UT 84112 Instructor: David R. Hunt This is a mid-term exam for DAT210 – Foundations of Data Analytics. It will consist of multiple choice questions and a final problem, covering material from this course as well as other related courses in statistics and mathematics. It is intended to be a formative assessment that allows

Top 100 AI-Generated Questions

– Data Analytics and Artificial Intelligence with Python.

DAT210 DAT210 DAT210 DAT210 DAT210

#1. What is the primary difference between an ANN and a CNN?

Whereas an ANN can produce results on a single input that is given to it, a CNN can learn to generalize by training on multiple inputs and combinations of inputs.

#2. Which ANN does the best on the MSCE exam?

It seems that Prof. Booth’s paper (on trained transfer networks) has been accepted by

What Should Students Expect to Be Tested from DAT210 Midterm Exam

– Exam #3? Expected Quantitative and Analytical Reasoning Questions in DAT210 Midterm Exam will be as follows:

The following DAT210 Midterm Exam questions are included with its answers:

1. The World Trade Organization (WTO) is a ____________ organization.

2. A ___________ is a representation of the market as a whole.

3. The WTO requires countries to adopt measures designed to prevent subsidized exports.

4. If a country exports subsidized goods, it pays what price

How to Prepare for DAT210 Midterm Exam

at NYU

The DAT210: Foundation of Data Analytics midterm is the final assignment in this course. It consists of a 15 minute reading plus two short questions. Your performance on the examination will determine your grade for the class.

The course was taught online using Canvas. We used quizzes, discussions, and webinars to cover material. The following are links to some of the lecture videos we created:

Chapter 1 (Watch now)

Chapter 2 (Watch now)

Chapter 3 (Watch

Midterm Exam Questions Generated from Top 100 Pages on Bing


Professionals: 1: 6.1% 5: 29.0% 4: 26.8% 3: 27.0% 2: 6.7% 1: Not satisfied with the answers 23.8%

Students: 187 students enrolled


Midterm Exam Questions Generated from Top 100 Pages on Google

Question# 1. A data analyst makes predictions based on the mean of a data set, such as the following:

The mean of the sales in a particular month for a large company is $1000. What percent of the year is expected to be higher or lower than this mean? Assume that the standard deviation of sales in one month is 10% and that the year has 200 days.

What percent of the year is expected to be higher or lower than this mean?


Final Exam

– Course: DAT210 – Foundations of Data Analytics (DAT210)

This examination consists of two parts. Part 1: Multiple choice and short answer questions with or without a weighted grading factor. Part 2: Simulation Test consisting of 30 multiple-choice questions followed by 30 simulation questions for a total of 60 questions. The examination will take place during your scheduled tutoring sessions.

The grade scale for this exam is as follows:

10-9 A, 8-7 B+, 6

Top 100 AI-Generated Questions

– Stanford University Data Analytics (DAT) – Udacity Course Information

This is a sample test to check if you are ready to take DAT210. To take this assessment, simply sign up for free and then retake the test again to see your new score.

Create an account or Sign in to see more

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What Should Students Expect to Be Tested from DAT210 Final Exam

at University of Florida.

Advisors: Charles Haddad, Ph.D. (2020) and David Boyce, Ph.D. (2020)

Important Dates:

Enrollment Closed

Final Exam Period: December 17-20, 2019

Instructions for taking the DAT210 Final Exam

Complete the final exam using the provided instructions and submit it through Blackboard.

If you are unable to complete the exam at your scheduled time, please contact Dr. Boyce or Mr.

How to Prepare for DAT210 Final Exam

at California State University, Fullerton

By: Shelly Stang, Senior Lecturer, Database Systems Engineering

What is DAT210?

DAT210 is an introductory course for those interested in learning the fundamentals of database systems. The course covers topics such as data modeling and normalization, SQL queries and relational algebra, and database applications. You will learn how to create a database system and how to program in a relational database management system (RDBMS). You will also learn how to design data retrieval and

Final Exam Questions Generated from Top 100 Pages on Bing

at University of Texas, Arlington.

1. What are the four main categories that a data scientist studies? [6 points]

a. Customer; enterprise

b. Data; business

c. Customers; consumers

d. Assets; performance

2. What is the difference between NoSQL and Big Data?

3. Give an example of a characteristic of data that can be captured only from a batch process versus a real-time transaction process.

4. How is a data scientist involved in the legal department

Final Exam Questions Generated from Top 100 Pages on Google

– PESI. These questions can be used as a quick reference tool to review the major concepts, principles, and principles of data analytics. Download PDF version of these practice questions.

DAT210 – Foundation of Data Analytics (DAT210) – PESI. 20 Questions | By Rsl7 | Last updated: May 13, 2016. Rate and follow the questions you got correct and follow the ones you got wrong to improve your knowledge. I won’t use this for credit

Week by Week Course Overview

DAT210 Week 1 Description

For more course tutorials visit www.uophelp.com You are a data analyst for a large healthcare organization that has been asked to develop an in-house application to collect, analyze and report on data about its patients in order to improve quality of care and patient outcomes. The application must be developed using Microsoft® Access® and Microsoft® SQL Server®. The application must also include the ability to connect to multiple sources of data as well as allowing users to easily import and export the data. The system must also

DAT210 Week 1 Outline

Part 1: Introduction to Data Analytics 1. What is a data scientist? Why would you want one? Answer the following questions 2. What is the difference between a data scientist and a machine learning engineer? How are they different? Answer the following questions. 3. What are the three types of data scientists? Why do you think there are three types of data scientists? How do these types of people differ in their approach to the subject matter? Provide at least two examples from real

DAT210 Week 1 Objectives

– 1039750 Related files for DAT210 Week 1 Objectives for DAT210 – Foundation of Data Analytics (DAT210) – 1039750

This file was uploaded by Imaniun on Nov 20, 2015. The file size is 55 KB, the duration is 2 minutes and 6 seconds.

DAT210 Week 1 Objectives for DAT210 – Foundation of Data Analytics (DAT210)

Week One: DAT210 Unit Outline:

Week One: DAT

DAT210 Week 1 Pre-requisites

Pre-requisites for DAT210 – Foundation of Data Analytics (DAT210) Course Description: This course covers the basic concepts and techniques that are used in a data analytics environment. These include data warehousing, operational systems, data integration, dimensional modeling, statistical analysis and visualization. Students will also learn about advanced topics such as distributed systems and artificial intelligence. Instructors: Stephanie Belding (Fall 2015) Prerequisites: MAT210


MAT213 Week 1 Individual Assignment Time

DAT210 Week 1 Duration

Purchase here http://hwcampus.com/downloads/datas210-week-1-duration-for-dat210-foundation-of-data-analytics-dat210/ For more classes visit www.hwcampus.com This Tutorial contains: Data management – 5% Data Analysis – 30% Descriptive Statistics – 20% Inferential Statistics – 30% Data Visualization – 10% Discussion Questions for DAT210 Week 1 Duration for DAT210 – Foundation of Data Analytics (DAT210) Duration: Minimum of

DAT210 Week 1 Learning Outcomes

u0026nbsp; DAT210 Week 1 DQs u0026nbsp; DAT210 Week 2 DQs u0026nbsp; DAT210 Week 2 Individual Assignment – Data Analysis Concepts and Techniques (DAT210) u0026nbsp; DAT210 Week 3 DQs u0026nbsp; DAT210 Week 3 Individual Assignment – Data Modeling in the Modern Business World (DAT210) u0026nbsp; FINAL EXAM for DAT210 for the week of

DAT210 Week 1 Assessment & Grading

All Week 1 Discussion Questions and Grading Criteria Assignments: Past Week 1 Discussion Questions and Grading Criteria Assignment: – Discussion Question: The ideal customer for your business is the person who. What would be the best way to get the maximum ROI? Is there a way that you can use data to help customers make more informed decisions about their financial future. By contrast, when you are not in control of the data, you will be forced to think about it much more as you are trying

DAT210 Week 1 Suggested Resources/Books

– Complete This Assignment Below! Overview The purpose of this assignment is to review the University of Phoenix material. For this assignment, you will select a case study related to your chosen field of study. You will need to read the case study, research the company’s financial statement and earnings per share ratio for the last 5 years, prepare a spreadsheet that includes data from both sides of the profit/loss statement for the selected company, and create a report that analyzes the data collected in the spreadsheet. The

DAT210 Week 1 Assignment (20 Questions)

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DAT210 Week 1 Discussion 1 (20 Questions)

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DAT210 Week 1 DQ 1 (20 Questions)

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DAT210 Week 1 Discussion 2 (20 Questions)

Week 1 Discussion 2 (20 Questions) for DAT210 – Foundation of Data Analytics (DAT210) “The answers to the questions in this discussion are not necessarily the same as those you submit in your assessments, but they must be relevant to the topic and contribute to the greater discussion. Use examples from your readings and class discussions to support your responses. A minimum of three substantive postings is required for each discussion. You should expect to receive feedback on your postings from your instructors and classmates within

DAT210 Week 1 DQ 2 (20 Questions)

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Week 6 Assignment – Advanced Financial Modelling with R (R-Base) or SPSS

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DAT210 Week 1 MCQ’s (20 Multiple Choice Questions)

1. Which of the following is NOT an attribute value for a table in SAS? (Choose two.) a. Total quantity of data in the table b. Type of data c. Dimension d. Type of analysis applied to the data e. Table contents 2. Which type of tables does NOT support multiple dimensions? (Choose two.) a. Infinite dimensional tables b. No dimension c. Dimensionless dimensions d. Dimension with two levels e. Row and column dimensions 3.The following statement

DAT210 Week 2 Description

Week 2 Assignment 2: New Patient Enrollment Task

Participate in the following activities: Write a paper of no more than 750 words that describes your experience with obtaining new patient registration information from a national public health program. Please use APA formatting for citation and in-text references. This is not a research paper. You will be graded based on the following criteria: Content (10%): Demonstrates understanding of the purpose and context of collecting new patient data Identifies primary and secondary sources used

DAT210 Week 2 Outline


DAT210 Week 1 Assignment – Data Analysis (DAT210) View

FIN331 Week 5, Complete Homework Assignment (MGT506) View

FIN331 Week 2 Individual Assignment- Financial Statement Analysis and Interpretation (MGT506) View

FIN331 Week 4, Complete Homework Assignment (MGT506) View

FIN331 Week 2 Individual Assignment- Direct and Indirect Financial Management (MGT506) View

FIN333 Week 5 Final Examination Paper (

DAT210 Week 2 Objectives

by DRA 617.9K . This is the course in Data Analytics taught at New York Institute of Technology (NYIT). The course introduces students to the fundamentals of data analytics. We will go through a series of lectures and self-directed exercises with which students will be able to complete assignments that require them to apply the concepts they have learned in class.

DAT210 Week 2 Lab (4 – 6 pages) An Investigation of Imprecise Public Safety Dispatching Systems (DAT210)

DAT210 Week 2 Pre-requisites

Paper. In this paper, you will be expected to demonstrate the knowledge and skills necessary to successfully complete the course. Therefore, please take the time to carefully read the pre-requisites for this course. Part 1: Write a word document with 300 words that explains the importance of data analytics in business and society. In addition, write a 100-200 word response […]

EDU415 Week 4 Individual Assignment University of Phoenix Material EDU415 Week 4 DQ 2 Resource:

DAT210 Week 2 Duration

[LO7] Complete the following tasks for DAT210. You can review the course materials and resources at your convenience.

Week 2 – Content of DAT210

Week 2 – Deliverable 1: Data Warehouse and ETL Architectures (DAT210)

Week 2 – Deliverable 2: Data Analytics Development (DAT210)

Week 3 – Content of DAT210

Week 3 – Deliverable 1: Reporting & Analytics for Healthcare (DAT210)

Week 3 –

DAT210 Week 2 Learning Outcomes

*Note: For more course tutorials visit

Tutorials: http://www.assignmentcloud.com/ATD210/ATD-210-Week-2-Learning-Outcomes-for-DAT210-Foundation-of-Data-Analytics-d… Website: www.assignmentcloud.com ATD 210 Week 2 Learning Outcomes for DAT210 – Foundation of Data Analytics Use the following information to answer the following questions. The Task Manager is an application that can be used to manage all tasks in a group of

DAT210 Week 2 Assessment & Grading

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DAT210 Week 2 Suggested Resources/Books

By Tasha Brown • 20 Pages • 1,483 Downloads • Published: 10/17/2018 DAT210 Week 2 Suggested Resources/Books for DAT210 – Foundation of Data Analytics (DAT210) By Tasha Brown This resource is a list of suggested resources for this week’s class. Please see the files tab to see the complete list of suggested textbooks for DAT210. New to Experts Exchange? Join Now What is “Expert” status? Experts Exchange gives you free

DAT210 Week 2 Assignment (20 Questions)

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DAT210 Week 2 Discussion 1 (20 Questions)

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What are the characteristics of an effective data mining process?


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DAT210 Week 2 Discussion 2 (20 Questions)

– Online Degree Program

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DAT210 Week 2 Discussion 2 (20 Questions) for DAT210 – Foundation of Data Analytics (DAT210) – Online Degree Program

DAT210 Week 2 DQ 2 (20 Questions)

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DAT210 Week 2 MCQ’s (20 Multiple Choice Questions)

– Paper Due by Sunday at midnight.


DAT210 Week 2 DQ 1


DAT210 Week 2 DQ 2


DAT210 Week 2 Learning Team Assignment Navigating Data Warehouse (25 Points)

Scenario: You are the IT Director for an organization and have been tasked with creating a data warehouse to capture all sales transactions from multiple locations. Your team is made up of two junior level programmers and four

DAT210 Week 3 Description

Week 3 Description for DAT210 – Foundation of Data Analytics (DAT210) This tutorial contains the next tasks: Task 2.1 Create a simple data file with the necessary information to perform the five steps in the course’s project. (5 points) After completing this task, submit your files as separate files in Appendix A. After completing this task, you must write one paragraph of why you selected the five steps and how they are related to one another. (15 points) Task 2

DAT210 Week 3 Outline

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Resources: AASCU 2005, “How Businesses Are Competing in the New Economy.” (Available from www.aascu.org)

DAT210 Week 3 Objectives

1. Define data analytics. 2. Differentiate between data analytics and business intelligence. 3. Identify the 6 steps of data analysis. 4. Explain how time-series data analysis is performed in Excel (DAT210) Week 3 Objectives for DAT210 – Foundation of Data Analytics (DAT210) 1. Define data analytics. 2. Differentiate between data analytics and business intelligence. 3. Identify the 6 steps of data analysis. 4. Explain

DAT210 Week 3 Pre-requisites


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DAT210 Week 4 Quiz (2 Questions) – DAT