Send the exact assignment or rubric from your classroom and a custom sample written to it lands in 24 to 48 hours, the first one free. DAM-7020 is TESU’s Predictive Analytics for Business Intelligence course. It covers descriptive, predictive and prescriptive analytics, trends such as analytics capabilities and the two cultures of modeling, explanatory versus predictive modeling, public data collection, R and reproducible scripts, the resource-based view of analytics advantage and forecasting with benchmarks and holdout tests, through forums, a written assignment, a midterm paper, a synchronous event and a final project. Searches like "dam 7020 module 3 assignment example", "DAM7020 sample paper", and "DAM-7020 module samples" land on this page.
What DAM-7020 is really about
Loshin’s Business Intelligence is the text, and the six modules run from Introduction to Business Analytics and Decision Making and Trends in Business Analytics through Data Science and Predictive Modeling and Software for Analytics and R Programming to competitive advantage and the Future of Data Analytics.
The final project builds a data analysis in R and a 7- to 10-page APA report on the tool and the interpretation of the data sets.
What DAM-7020’s assessments ask for
Forums carry 30 percent, the written assignment 10 percent and the final project 30 percent, with a midterm paper and a synchronous event completing the grade.
Where students lose points in DAM-7020
Marks go on analytics defined without decisions, trends listed from blogs, correlations offered as forecasts, models never compared with a benchmark and R output reported without interpretation.
The DAM-7020 drawers
DAM-7020 Module 1 assignment example
Discussion: the analytics manager at a composite chain of 40 tire and auto service shops in New Jersey sorts the chain's decisions into descriptive, predictive and prescriptive analytics using Holsapple, Lee-Post and Pakath's unified foundation, argues that staffing and tire stocking by store each week is the first decision to support with prediction, and replies to classmates about a hospital pharmacy and a bakery. Full sample paper, read it free.
DAM-7020 Module 2 assignment example
Written assignment: the analytics manager at the composite New Jersey tire and auto service chain reviews four trends, the spread of data-driven decisions shown by Brynjolfsson and McElheran, analytics as an organizational capability in Mikalef and colleagues, cloud tools and automated modeling, and Breiman's two cultures of statistical modeling, and decides which matter for a forty-store chain preparing its first forecasting project. Full sample paper, read it free.
DAM-7020 Module 3 assignment example
Midterm paper: the analytics manager at the composite New Jersey tire and auto service chain explains why prediction has become central to business using Shmueli and Koppius's distinction between explanatory and predictive modeling, collects Federal Highway Administration vehicle miles traveled and Energy Information Administration gasoline price series for 2015 to 2024 into one csv file with the chain's monthly service counts, and shows through exploratory analysis that driving volume and season predict tire and brake demand better than last year's totals. Full sample paper, read it free.
DAM-7020 Module 4 assignment example
Discussion: the analytics manager at the composite New Jersey tire and auto service chain explains why R suits the chain's forecasting pilot, citing the R Core Team's open environment and Hyndman and Athanasopoulos's forecasting methods, weighs it against spreadsheets and commercial suites on cost, reproducibility and skills, sets rules for documenting scripts, and replies to classmates about a hospital's SAS license and a nonprofit's spreadsheets. Full sample paper, read it free.
DAM-7020 Module 5 assignment example
Discussion: the analytics manager at the composite New Jersey tire and auto service chain asks whether demand forecasting can give it an edge over national chains with larger data teams, applies Barney's resource-based view to argue that software is easily copied but local data and manager habits are not, uses Gupta and George's dimensions of big data analytics capability to plan what to build, and replies to classmates about a regional grocer and an online retailer. Full sample paper, read it free.
DAM-7020 Module 6 assignment example
Final project: the composite tire chain's analytics lead builds monthly forecasts of tire installations and brake jobs for 40 stores in R, tests exponential smoothing and a regression with lagged vehicle miles traveled, gasoline prices and cold days against a seasonal naive baseline, evaluates them on 2024 data following Hyndman and Athanasopoulos, finds the regression cuts error by about half, and recommends store-level forecasts feeding the warehouse order and Monday schedules. Full sample paper, read it free.
Your classroom shows something else?
Thomas Edison State University revises courses; module counts and deliverables shift between terms. Send what your classroom shows and the desk matches it exactly.
Using a DAM-7020 sample the right way
Send your DAM-7020 prompt or the outcome you want to predict, and a first custom sample comes back free inside 24-48h. Follow how each model is tested against current practice, then build your own.
How these samples are written
The six DAM-7020 samples follow one auto service chain, so the decision chosen in Module 1 and the data gathered for the midterm become the forecasting model of the final project.
DAM-7020 questions, answered
What textbook does DAM-7020 use?
Loshin’s Business Intelligence, with R for the final project.
How is DAM-7020 graded?
Forums 30 percent, the written assignment 10 percent and the final project 30 percent, plus a midterm paper and a synchronous event.
What is the DAM-7020 final project?
A data analysis in R with a 7- to 10-page APA report on the tool and the interpretation of the data sets.