DAT310 Course Introduction
is a online course from the University of Illinois. This course is designed to help students understand the principles and practice of data analytics, and prepare them for careers in business and technology. The first part of the course will cover data analysis with the use of R (a free software environment). The second part will discuss database modeling, which is an essential step in all modern applications. There are many different types of databases such as relational databases, object-relational databases, and NoSQL databases. Finally, we
DAT310 Course Description
Course Information for this course is available here. This course will give you hands-on experience of data analytics using R. To create an understanding of the data science process, we will also use Python as a programming language to perform data analysis in R. Prerequisites: 4th Semester or equivalent in Applied Statistics, Mathematics, Computer Science or Information Systems
Lectures: Tuesdays and Thursdays from 4-5pm EST
Term (January 14 – April 7) Class Location/
Universities Offering the DAT310 Course
at 5 Colleges & Universities. You can use the filters to refine the list of colleges and universities offering the course. If you’re interested in studying DAT310 – Data Analytics I at a different institution, please select the college/university name from the list on your left.
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1. University of Illinois at Urbana-Champaign The University of Illinois at Urbana-Champaign (UIUC) is a public research university located in Champaign
DAT310 Course Outline
Course Title: Data Analytics I Description: This course covers the fundamental concepts in data analytics, including the theory and practice of data analysis using R language. Objectives include understanding basic data types, examining common statistical methods used in practice and learning how to write robust R code for a variety of tasks. Prerequisite(s): CAT310 or consent of instructor.
DAT310 Course Objectives
DAT310 Course Overview
What you will learn in DAT310 – Data Analytics I (DAT310) Course Overview
Course content for DAT310 – Data Analytics I (DAT310)
Course content for DAT310 – Data Analytics I (DAT310) – What you will learn in DAT310 – Data Analytics I (DAT310) Course Overview
Introduction to the course, Course framework and overview of the course
Course content for DAT310 – Data Analytics I (DAT310)
Introduction to the course, Course
DAT310 Course Pre-requisites
Description: Course Outline for DAT310 – Data Analytics I (DAT310)Course Outline for DAT310 – Data Analytics I (DAT310) Day 1 Introduction to Statistics, Introduction to Data Mining and data visualization techniques. What is data? Types of data and their properties, Characteristics of a data set. Creating a simple data set using SQL Data modeling. Basic concepts of relational database systems & SQL tools Describe the nature of the problem you are trying to solve. Identify relevant data sources that can help answer
DAT310 Course Duration & Credits
DAT310 Course Description DAT310 Data Analytics I provides instruction in data analytics, tools and techniques. The course covers concepts of data exploration, data profiling, source detection, data quality assurance and metrics. It also provides the fundamentals of data analytics for web-based applications. A major focus is on building analytical and modeling skills for advanced business intelligence projects.
DAT310 Topics Covered DAT310 – Intro to Data Analytics (DAT1XXX)
DAT320 – Data Analytics I (DAT3XXX)
DAT310 Course Learning Outcomes
After completing this course learners should be able to:
1. Select, analyse and present data sets
2. Develop queries using SQL
3. Visualise data using graphs and charts
4. Develop models that can be applied to business decisions
5. Describe the main stages of the data analytics life cycle
6. Apply statistical techniques in business decisions
7. Apply analytical skills for a business problem.
To assess this learning outcome, our
DAT310 Course Assessment & Grading Criteria
– Watson Marketing, Darden School of Business
Assignment 1: The Business Problem
– Please answer the following question(s) in approximately 1 paragraph each.
– In the past, many companies have utilized customer loyalty cards to market their products and services. For example, Walmart utilizes this strategy with its customer rewards program to retain existing customers, attract new ones, and increase the lifetime value of existing customers.
Customer Loyalty programs:
– Describe how Walmart utilizes its customer loyalty card program to retain existing
DAT310 Course Fact Sheet
student (or course) at the University of Waterloo. The instructor will be…
Course Fact Sheet for DAT310 – Data Analytics I (DAT310) student (or course) at the University of Waterloo. The instructor will be…
Data Analysis and Machine Learning Deep Learning Using Python Course Fact Sheet for DAT311 – Data Analytics II (DAT311) This course is an advanced survey of machine learning, focusing on applying deep learning algorithms to real-world problems. You will learn about three different
DAT310 Course Delivery Modes
We have two delivery modes to offer students:
– Interactive Live Online
– Self Paced (Self Instructional) Students will be able to log in and complete the labs, exercises, and assignments on any computer with internet access. You can complete the labs on your own time schedule. The lab tutorials provide hands-on experience and you have the ability to create your own solutions. You will not be asked to buy software for this course, only purchase one login into the online learning platform.
– Instructor Led
DAT310 Course Faculty Qualifications
The course is approved for the CMC as follows:
The institution of the University is deemed to be approved by the Council of Private Education (CPE), MHRD, Government of India, under section 2(f) of the UGC Act 1956. The University has been recognized as ‘A’ Grade Institution by NAAC. The Institution being an Autonomous Body under sections 3 and 12 of the UGC Act, it has been accredited with ‘A’ Grade by
DAT310 Course Syllabus
Course Syllabus for DAT310 – Data Analytics I (DAT310) 1. Course Description 2. Learning Outcomes 3. Required Texts / Materials 4. Assignments / Quizzes 5. Policies
DAT310 Data Analytics II Syllabus for DAT310 – Data Analytics II (DAT310) Course Syllabus for DAT310 – Data Analytics II (DAT310) 1. Course Description This course examines topics related to large and complex data sets, their integration
Suggested DAT310 Course Resources/Books
Overview Course Description The aim of the course is to prepare students for a career as an analytical researcher, data scientist or data analyst. The course will focus on research and analytics methods and tools that are used to discover patterns and relationships in large datasets using quantitative and qualitative techniques. On completion of this course, students will be able to use the latest statistical software tools (e.g., R) for statistical data analysis. In addition, they will also be exposed to concepts in exploratory and predictive analytics. The
DAT310 Course Practicum Journal
Class Hours: 2.00 (Lecture/Laboratory)
Credit Hours: 3.00
Date Published: 2017-08-07
Table of Contents
Overview and Course Objectives
Departmental Prerequisites and C&G Requirements
Required Textbooks and Other Materials
Recommended Textbooks and Other Materials
Learning Activities / Exercises / Assignments / Tests / Projects
Grading Policy for
Suggested DAT310 Course Resources (Websites, Books, Journal Articles, etc.)
How to write an academic CV when applying to study a Master of Business Administration or a Master of Data Analytics
Useful resources for learning about all the different types of numbers
The most popular books to read on data analytics for MBAs and data scientists
A comprehensive list of all the conferences, seminars and workshops I’ve attended related to data analytics. Updated weekly.
Create beautiful data visualizations using Tableau – everything you need to know is here
A collection of links for teaching yourself
DAT310 Course Project Proposal
is an introduction to data analytics and data science. It is designed to help students become more familiar with a number of the core data analysis concepts. The project focuses on answering a specific research question based upon datasets they have collected from The University of Texas at Arlington, UTA Libraries, or other sources. This course will also serve as an introductory training for students who would like to pursue the DAT310 master’s program or doctoral program in Data Analytics/Data Science at UTA. All courses taken as part of
DAT310 Course Practicum
$ 7.00 DAT310 – Data Analytics I (DAT310) – Tutorial for DAT310 – Data Analytics I (DAT310) : This is the tutorial for DAT310 – Data Analytics I (DAT310). In this tutorial, you will learn the basics of data science, and then dive deeper into some of the most popular Machine Learning techniques. The tutorial assumes that you are familiar with the fundamentals of statistics and probability theory. You will learn about: • Describing descriptive statistics • Explaining
Related DAT310 Courses
DAT310 Data Analytics I (DAT310) is a course in the Data Analytics specialization of the Bachelors of Science in Computer Information Systems degree program at University of Phoenix. This specialization is designed to provide students with an understanding of how data analytics and data structures affect decision making in business. The course focuses on analytical skills, which help students understand both the problems and potential solutions that can be found using data analytics techniques. This course also introduces students to the use of graph theory as a tool for business
is on Tuesday, March 3rd 2020 at 8:30 am.
The Tutorial for DAT310 – Data Analytics I (DAT310) will be held on Wednesday, March 4th 2020 at 6 pm in the Wylie Atrium.
This course provides a foundation in statistics, computer programming and data analysis. Students develop skills using real-world data sets and statistical software to solve problems ranging from simple to complex. Topics include using SAS programs, programming techniques, application
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DAT310 is an introductory course on data analytics. It is designed to be a gateway course for those who have little or no experience in using tools for data analysis. The course aims to build basic knowledge of fundamental concepts of statistics and mathematics, emphasizing on how to apply them to understand some sample datasets.
This DAT310 assignment is part of
What Should Students Expect to Be Tested from DAT310 Midterm Exam
at University of Texas at Austin
COURSE CATALOG 2016-2017
How Much Does DAT310 Cost?
The cost of DAT310 is $0.
Does DAT310 Offer Financial Aid or Scholarships?
Students can find out if they are eligible for financial aid or scholarships by visiting the finaid.utexas.edu website. If a student is awarded scholarships, they will be notified.
What is the Admission Requirement for
How to Prepare for DAT310 Midterm Exam
at University of Oklahoma: DAT310 Test 1 – Fall 2019
DAT310 Tutorial for DAT310 – Data Analytics I (DAT310) at University of Oklahoma
DAT310 is a lecture-based class that meets twice per week. The first class is on Tuesday and Thursday, and the second class is on Tuesday and Wednesday. The course hours are 2:00 pm to 4:50 pm in the classroom building on campus, located at 1320 E Reno St., Suite
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Start Date: 03/08/2021 End Date: 04/19/2021 Instructor: Dr. Roy N. Ng Course Description: This is the first of two courses dealing with Data Analytics (DAT) I (DAT310). The course will be used to introduce the fundamental concepts, modeling, and techniques of Data Science. Topics include information visualization, data mining, machine learning, decision trees, time series analysis, and more. Course Objectives Students should be able to understand the
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DAT310 – Data Analytics I (DAT310) – will be offered at the UW-Madison campus on June 10-11, 2017.
DAT310 is a 4 credit course that provides an introduction to machine learning, statistical modeling and neural networks.
The purpose of DAT310 is to expose students to the latest research in data science. The class covers basic techniques for analyzing data and obtaining meaningful insights from it. It also introduces computational techniques
What Should Students Expect to Be Tested from DAT310 Final Exam
at University of Illinois Chicago . All The Best. You are welcome to ask for additional practice problems from us.
Hello! I am Dr. Chelladurai Narayanan and I am an Assistant Professor at University of Illinois Chicago (UIC) in the Department of Biomedical Engineering and Department of Computer Science, and a Visiting Researcher at UIC Center for Data Analytics. Currently, I am working on data analytics applications in medicine that will change the way healthcare is practiced. I also co
How to Prepare for DAT310 Final Exam
at University of Phoenix
View and download the DAT310 – Data Analytics I (DAT310) course guide.
This is a required course for the following programs: BA, BS, MS, MSc. This course is also open to you if you do not have one of these programs but would like to learn how to use database applications effectively. This course will also satisfy one of the core competencies for your degree plan.
There are two ways that you can get credit for this course:
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Week by Week Course Overview
DAT310 Week 1 Description
For more course tutorials visit www.Tutorialrank.com DAT310 Week 1 Learning Team Assignment Introduction to Data Analytics I (DAT310) – New
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DAT310 Week 1 Outline
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DAT310 Week 1 Objectives
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DAT310 Week 1 Checkpoint – Data Analytics I (DATA310) DAT310 Week 1 Checkpoint – Data Analytics I (DATA310) Define data analytics and describe the main functions of a data analyst. Give an example of an organization that uses data analytics. Explain how a business intelligence solution is different from an analytical
DAT310 Week 1 Pre-requisites
Click Below Link http://www.assignmentcloud.com/ACCT310/ACCT310-Week-1-Pre-requisites-for-DAT310-Data-Analytics-I-DAT310 DUE: August 20th, 2016 This assignment will build upon the knowledge you have gained in DAT310. It is a prerequisite to DAT311. You must successfully complete this assignment before taking the quiz for DAT311.
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DAT310 Week 1 Duration
2 Week 1
Visit the website: https://www.prestwicklearning.com/dat310-… to view all DAT310 Week 1 assignment instructions, including a detailed description of what you need to do. See more information below.
DAT310 Week 1 Assignment Instructions Click the Assignment Files tab to submit your assignment. DAT310 Week 1
For more course tutorials visit
DAT310 Week 1 Discussion Question What is Data Analytics?
Please respond to
DAT310 Week 1 Learning Outcomes
Week 1 Discussion Question 1 (South University Online) Week 1 Discussion Question 2 (South University Online) Week 1 Topic Paper (South University Online) Week 2 Discussion Question 1 (South University Online) Week 2 Topic Paper (South University Online) Week 2 Topic Paper (South University Online) Week 3 Discussion Question 1 (South University Online) Week 3 Topic Paper (South University Online)
DAT310 Week 1 Assessment & Grading
– Read the article titled “Data Analytics I” and answer all questions. You must include an in-text citation for every question. The articles are found at the following link: https://www.ala.org/acrl/standards-and-guidelines/books-publications/booklist. There are five questions to answer in this assignment.
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DAT310 Week 1 Suggested Resources/Books
Week 1 Suggested Resources/Books for DAT310 – Data Analytics I (DAT310) Click on the following links to access the suggested resources/books for this week’s activity: “Suggested Resources” Book […]
Quarter 2: Big Data Analysis & Visualization in Business (BBHD410) You are an Executive Manager at a company with a number of customers that have all purchased your product or service. At the beginning of the quarter, you receive this data set from one of your customers. These
DAT310 Week 1 Assignment (20 Questions)
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DAT310 Week 1 Assignment Question (20 Questions)
Week 1 Assignment Question (20 Questions) for DAT310 – Data Analytics I (DAT310) Part 1: DATA ANALYTICS I An executive decision maker has been asked to select a new data analytics tool for the company. The company is a data analytics consulting firm and the decision maker wants to choose a product that will be used primarily to…
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DAT310 Week 1 Discussion 1 (20 Questions)
Discussion 1 (20 Questions) for DAT310 – Data Analytics I (DAT310) Discussion 1
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DAT310 Week 1 DQ 1 (20 Questions)
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DAT310 Week 1 Discussion 2 (20 Questions)
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1. What is Data Analytics?
2. Why data analytics is important for organizations today?
3. What are some ways that data analytics can be used to improve decision making in an organization?
4. What are some of the pros and cons of using data analytics in a business?
5. What does it mean when you say that your business’s decision-making model needs a shift from qualitative analysis to quantitative analysis?
6. In what ways does the use of data analytics improve quality of
DAT310 Week 1 DQ 2 (20 Questions)
WEEK 1 DQ 2: Data Analytics for Behavioral Health Outcomes – 1. Which of the following is an appropriate option when a site or discipline is …
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DAT310 Week 1 Quiz (20 Questions)
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DAT310 Week 1 MCQ’s (20 Multiple Choice Questions)
1. A data scientist is using SPSS to explore a data set. The number of rows in the table is 200. The dimensions are (a) Ethnicity (b) Gender (c) Age (d) Disposition Type
SPSS Statistics – Advanced Level – Question – 1
1. A data scientist is using SPSS to explore a data set. The number of rows in the table is 200. The dimensions are (a) Ethnicity (b) Gender
DAT310 Week 2 Description
This tutorial was purchased 1 times & rated A+ by student like you. DAT310 Week 2 Description for DAT310 – Data Analytics I (DAT310) Click on the Assignment Files tab to submit your assignment. For help with this module, review the Discussion Questions and Review Questions on the Student website. You may post your answers to these questions in this forum as well, but please include a copy of your answer with your submission.
DAT310 Week 2 Outline
Note: This is only a sample of the Full Course. You will need to get your own copy of this course before you can submit it to us for grading. Please log into Course Home (http://store.hbsp.harvard.edu/store/)… $60.00 Add to Cart
DAT310 Week 2 Worksheet – Data Analytics I (DAT310) Note: This is only a sample of the Full Course. You will need to get your own copy of this course before you can submit it
DAT310 Week 2 Objectives
From: (DAT310) By: (DAT310) Date: 8/15/2016 Data Analytics I (DAT310) Week 2 Objectives for DAT310 – Data Analytics I After reviewing the week two course objectives, complete the following exercises. The first two exercises are computer activities designed to help you learn the basic concepts of data analytics. These activities can be completed either on your own or in groups. The last exercise requires you to work with another group to create a new project
DAT310 Week 2 Pre-requisites
Week 2 Quiz 1 (4 questions, 10 points each) (3/19/2017 12:00 AM) What is the purpose of a tax? (3/17/2017 12:00 AM) Which part of the tax cycle is most important in determining its overall effectiveness? (3/16/2017 12:00 AM) The U.S. tax system has become increasingly complex and unfair over time. (3/15/2017
DAT310 Week 2 Duration
Week 2 Discussion Questions
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DAT310 Week 2 Learning Outcomes
The instructor will be available by email to students at anytime. Visit the online help area of Blackboard for additional support.
Week 2 Assignment 1: Chosen Data Set – (Week Two) Discussion Questions Students are required to write a minimum of three (3) blog posts on the topic of their choosing. Each post must have a thesis statement, which will summarize the main idea and supporting evidence, should not exceed five (5) sentences, and follow APA format. Examples of thesis statements include
DAT310 Week 2 Assessment & Grading
DAT310 Week 1 Ass
DAT310 Week 2 Suggested Resources/Books
Week 2 Suggested Resources/Books for DAT310 There are two suggested resources provided for this week. It is important to read through them, as they provide the initial foundation for the course. Remember that we will be using these resources throughout the course and you will need access to them in order to complete all of the assignments.
DAT310 Week 2 Assignment (20 Questions)
Week 2 Assignment (20 Questions) for DAT310 – Data Analytics I (DAT310)
A resource for advertising is a media buy. The cost of each media unit is $100. You want to allocate the entire budget to your best TV spots and are considering using in-home messaging. What do you think would be the most effective use of the budget?
a) Using this money to buy TV spots with larger size ads in better locations.
b) Using this
DAT310 Week 2 Assignment Question (20 Questions)
– Assignment Questions: Week 2 Assignment Question (20 Questions) for DAT310 – Data Analytics I (DAT310) – Assignment Questions 1. Explain and give examples of the following concepts in data science: • Big Data • Machine Learning • Text Mining & Natural Language Processing • Predictive Modeling 2. Explain and give examples of the following concepts in big data processing: • Virtualization, Replication, and Cloud Computing – virtual servers, virtual desktops, cloud computing;  •
DAT310 Week 2 Discussion 1 (20 Questions)
Discussion 1 (20 Questions) for DAT310 – Data Analytics I (DAT310) For more course tutorials visit www.tutorialrank.com Tutorial Purchased: 1 Times, Rating: A+ A must do assignment in this unit is to write a data analysis plan for our project. The purpose of the data analysis plan is to outline how the team will collect and analyze the necessary dataset(s). In addition to the analytical plan, a short section about how you and your team members will perform the
DAT310 Week 2 DQ 1 (20 Questions)
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DAT310 Week 2 Discussion 2 (20 Questions)
. If you are looking for a quick answer to a general question about your class, this is the place to find it. In a group of 3 to 5 students, discuss and answer the following questions: 1. How many unique companies were listed in DAT’s database? (Use the S&P Global Market Intelligence… Continue reading Data Analytics I – DAT310 – Week 2 Discussion 2 (20 Questions)
DAT310 Week 1 Discussion for DAT310 – Data Analytics I (DAT
DAT310 Week 2 DQ 2 (20 Questions)
in the Textbook
1. What is a business intelligence (BI) system? 2. What is the difference between BI and OLAP systems? 3. When do you use traditional databases vs. OLAP systems? 4. How does an organization make data more accessible to end users? 5. How does a BI system help make decisions? 6. What is the difference between data mining and data profiling?
7. What is one type of commonly used BI system that has
DAT310 Week 2 Quiz (20 Questions)
– Week 2 Quiz (20 Questions) for DAT310 – Data Analytics I (DAT310). This quiz is to determine your level of knowledge and understanding of the course material. The course is designed to take 5 weeks to complete. You will have a test every week, and a final test at the end of the course. This quiz has 20 questions and takes approximately 15 minutes to complete.
1 What are the three things you need to be able to do in order to become a
DAT310 Week 2 MCQ’s (20 Multiple Choice Questions)
We have provided all of the questions below in this file. For each question, there are four options. Select the correct answer from the code given below: Option 1 – 3 points Option 2 – 5 points Option 3 – 6 points Option 4 – 7 points Click here for previous year questions and answers for DAT310 DAT310 Week 2 MCQ’s (20 Multiple Choice Questions) for DAT310 – Data Analytics I (DAT310) We have provided all of
DAT310 Week 3 Description
Week 3 Assignment Discussion of the uses and limitations of LDA for data mining. Discuss your personal views on LDA as a potential method of identifying additional information to aid in the discovery process of data mining. Using the ICA algorithm, describe what information should be extracted from documents that is considered to be relevant by the ICA algorithm. The term relevance has been defined as the degree to which an input document is an exact match to a given target or target class (i.e., a query).
DAT310 Week 3 Outline
DAT310 Week 3 Outline for DAT310 – Data Analytics I (DAT310) This tutorial contains the following instruction: Read the scenarios. In this scenario, your objective is to determine the characteristics of a person who has been diagnosed with cancer and how it could be measured and analyzed in terms of probability. These are some of the data that you can use to develop the model: Gross Domestic Product, Consumer Price Index, Net Migration Rate. The above mentioned data come from two sources.
DAT310 Week 3 Objectives
Week 3 Objectives for DAT310 – Data Analytics I (DAT310) Week 3 Objectives for DAT310 – Data Analytics I (DAT310) Week 3 Objectives for DAT310 – Data Analytics I (DAT310) Week 3 … Read More
DAT320 Week 1 Individual Assignment Knowledge Management and Its Impact on Business Dates: 10/11/2019 and 10/13/2019, you are to choose a company that has adopted Knowledge Management. Then
DAT310 Week 3 Pre-requisites
100% correctly. Your score of 99% or higher is required to pass the course. This course provides a foundation for developi