Predictive analytics Study guides, Class notes & Summaries
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![Solutions for Introduction to Data Analytics for Accounting, 2nd Edition by Richardson](/docpics/3086049/64b6c4e0dcfbe_3086049_121_171.jpeg)
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Solutions for Introduction to Data Analytics for Accounting, 2nd Edition by Richardson
- Exam (elaborations) • 382 pages • 2023
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Complete Solutions Manual for Introduction to Data Analytics for Accounting, 2nd Edition 2e by Vernon Richardson, Katie Terrell and Ryan Teeter. ISBN-13: 5141 
 
Chapter 1 Ask the Question: Using Data Analytics to Address Accounting Questions 
 
Chapter 2 Master the Data: An Introduction to Accounting Data 
 
Chapter 3 Master the Data: Data Types Used in Accounting 
 
Chapter 4 Master the Data: Preparing Data for Analysis 
 
Chapter 5 Perform the Analysis: Types of Data Analytics 
 
Ch...
![Test Bank for Business Intelligence, Analytics, Data Science, and AI, 5th edition by Sharda](/docpics/3381294/64f80b174f417_3381294_121_171.jpeg)
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Test Bank for Business Intelligence, Analytics, Data Science, and AI, 5th edition by Sharda
- Exam (elaborations) • 169 pages • 2023
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Test Bank for Business Intelligence, Analytics, Data Science, and AI, 5th edition 5e by Ramesh Sharda, Dursun Delen, Efraim Turban. Full Chapters test bank are included - Chapter 1 - 11 
 
An Overview of Business Intelligence, Analytics, Data Science, and AI 
Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications 
Descriptive Analytics I: Nature of Data, Big Data, and Statistical Modeling 
Descriptive Analytics II: Business Intelligence Data Warehousing, and Vi...
![WGU D204 Exam 2023 Questions and Answers (100% Correct)](/docpics/2728869/645c9b2f9341c_2728869_121_171.jpeg)
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WGU D204 Exam 2023 Questions and Answers (100% Correct)
- Exam (elaborations) • 8 pages • 2023
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WGU D204 Exam 2023 Questions and Answers (100% Correct)WGU D204 Exam 2023 Questions and Answers (100% Correct)WGU D204 Exam 2023 Questions and Answers (100% Correct) 
 
What are the 7 steps of the data analytics journey? - ANSWER-Business Understanding (Discovery Phase) 
Data Acquisition (Data Collecting) 
Data Cleaning 
Data Exploration 
Predictive Modelling 
Data Mining 
Reporting & Visualization 
 
Define: discovery phase - ANSWER-Analyst defines the major questions of interest that need to b...
![Forecasting and Predictive Analytics with ForecastX 7th Edition By Keating (Solution Manual)](/docpics/2860238/647f06fc134d9_2860238_121_171.jpeg)
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Forecasting and Predictive Analytics with ForecastX 7th Edition By Keating (Solution Manual)
- Exam (elaborations) • 48 pages • 2023
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Forecasting and Predictive Analytics with ForecastX, 7e Keating (Solution Manual) 
 
Forecasting and Predictive Analytics with ForecastX, 7e Keating (Solution Manual)
![Forecasting and Predictive Analytics with ForecastX 7th Edition By Keating (Test Bank)](/docpics/2860244/647f076f030c2_2860244_121_171.jpeg)
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Forecasting and Predictive Analytics with ForecastX 7th Edition By Keating (Test Bank)
- Exam (elaborations) • 570 pages • 2023
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Forecasting and Predictive Analytics with ForecastX, 7e Keating (Test Bank) 
 
Forecasting and Predictive Analytics with ForecastX, 7e Keating (Test Bank)
Predictive Analytics Modeler Explorer Award updated 2023 Questions and Answers with complete solution
![UCF QMB3200 Midterm Study Test| Questions with 100% Correct Answers (A Rated)](/docpics/5421326/665036537e644_5421326_121_171.jpeg)
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UCF QMB3200 Midterm Study Test| Questions with 100% Correct Answers (A Rated)
- Exam (elaborations) • 11 pages • 2024
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Analytics - ANSWER the scientific process of transforming data into insight for making better 
decisions 
Descriptive Analytics - ANSWER Analytical techniques that describe what has happened in the 
past. 
Predictive Analytics - ANSWER Analytical techniques that use models constructed from past 
data to predict the future or assess the impact of one variable on another. 
Prescriptive Analytics - ANSWER Analytical techniques that yield a course of action. 
Big Data - ANSWER A set of data that can...
![Full Summary of Chapters and Lecture Slides Data Science for Business](/docpics/63f881be740a0_2405923.jpg)
![Full Summary of Chapters and Lecture Slides Data Science for Business](/docpics/books/9200000013994134.jpg)
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Full Summary of Chapters and Lecture Slides Data Science for Business
- Summary • 147 pages • 2023
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Are you struggling to keep up with the Data Science course? Do you find it challenging to stay on top of all the lecture material and required readings and does it take you an incredible amount of time the summaries all chapters from the book? Look no further than this complete and detailed summary! 
 
This comprehensive document includes all lecture slides and a detailed summary of every chapter from the textbook, Data Science for Business by Foster Provost and Tom Fawcett. This document is th...
![MISY5370-Data Mining & Predictive Analytics Midterm 2023/2024 passed](/docpics/3761658/65451fd345101_3761658_121_171.jpeg)
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MISY5370-Data Mining & Predictive Analytics Midterm 2023/2024 passed
- Exam (elaborations) • 11 pages • 2023
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MISY5370-Data Mining & Predictive Analytics MidtermFirst development - correct answer technological advances, social networks and data generated from personal electronic devices produce incredible data 
 
Second development - correct answer • Advances in computational approaches to effectively handle and explore massive amounts of data 
• Faster algorithms for optimization and simulation, and 
• More effective approaches for visualizing data 
 
Third development - correct answer • The m...
![Test Bank For Business Driven Technology 8th Edition by Paige Baltzan](/docpics/3512502/65143b2106f36_3512502_121_171.jpeg)
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Test Bank For Business Driven Technology 8th Edition by Paige Baltzan
- Exam (elaborations) • 1565 pages • 2023
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Business Driven Technology, 8e (Baltzan) Chapter 1 Business Driven Technology 
1) Companies today are successful when they combine the power of the information age with traditional business methods. 
Answer: TRUE 
Difficulty: 1 Easy 
Topic: Competing in the Information Age 
Bloom's: Remember 
Accessibility: Keyboard Navigation 
Learning Outcome: 01-01 Describe the information age and the differences among data, information, business intelligence, and knowledge. 
Gradable: automatic 
2) Competit...
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