# Week 15 — What Next? (12/6–10)¶

This is the last week of class. We’re going to recap, and talk about what’s next, both for learning and for putting what you’ve learned to practical use.

## 🧐 Content Overview¶

Element |
Length |
---|---|

6m23s | |

7m13s | |

11m16s | |

13m50s | |

9m55s | |

7m28s | |

6m25s | |

10m25s |

This week has **1h13m** of video and **0 words** of assigned readings. This week’s videos are available in a Panopto folder and as a podcast.

## 📅 Deadlines¶

Makeup Midterm, December 7

Quiz 14, December 9

Assignment 7, December 12

## 🎥 Recap¶

This video reviews the concepts we have discussed this term and puts them into the broader context of data science.

(midterm-m)

## 🚩 Makeup Exam¶

The makeup midterm is **December 7** in class. It covers the entire semester, with an emphasis on material since the 2nd midterm.
The rules and format are the same as for Midterm A.

I encourage you to come and take the exam, as it is the single best way to prepare for the final. You can at any time leave the exam, and take it with you; I will only grade it if you turn it in, and there is no problem with showing up, looking at it, even filling it out, and deciding you like your current grades well enough to not turn it in.

Warning

If you turn in the makeup exam to be graded, its grade will replace the lower of your Midterm A and B grades, **even if that lowers your final grade**.
Only turn it in if you think you did better than your worst normal midterm!

## 🎥 Data and Concept Drift¶

This video introduces a fundamental assumption of predictive modeling and the way *drift* can affect it.

### Resources¶

A unifying view on dataset shift in classification (available through Boise State library)

## 🎥 Time Series Operations¶

Time is an important kind of data that we haven’t spent much time with — this video discusses the fundamental Pandas operations for working with time-series data.

### Resources¶

## 📓 Time Series Example¶

The MovieLens Time Series notebook demonstrates basic time series operations in Pandas.

## 🎥 Correlated Errors¶

Regression models require that the data be *independent*. This video introduces two kinds of non-independence and methods for addressing them: grouped observations addressed with a mixed-effects model and temporal auto-correlation addressed with ARIMA models.

### Resources¶

Time Series Analysis slides — much more in-depth treatment

## 🎥 Publishing Projects¶

This video talks about going from an analysis and its notebooks to a publishable paper.

### Resources¶

PlotNine is a good plotting library for preparing consistent, publication-ready graphics.

The book gender example also demonstrates the current evolution of my own practices for preparing for publication.

## 🎥 Production Applications¶

How do you put the results of your data science project into product?

## 🎥 Topics to Learn¶

This video goes over some useful topics to learn to fill out more of your data science education.

## 🎥 General Tips¶

Some final closing tips and suggestions for you to think about as you take the next steps in your data science career.

## 🚩 Weekly Quiz 15¶

Take the Week 15 Quiz in Canvas.

## 📃 Farewell¶

It’s been grand!

I would love to hear feedback on how to further improve the course; I have tried to make some corrections as a result of the midterm assessment process, and will be keeping those notes for next year, but further suggestions either in the course evaluations or by Piazza are welcome.

I hope to see many of you in future courses!

## 📩 Assignment 7¶

Assignment 7 is due **Sunday, December 12, 2021**.

## 🚩 Final Exam¶

The final exam will be on **Tuesday, Dec. 14, 2021** at 9:30 AM.

### Format¶

The exam follows the same format as the midterms. It will be a written in-person exam with a variety of questions to assess your ability to understand and apply concepts from the class. Question formats include:

Multiple-choice

True/false

Matching

Fill-in-the-blank

Short answer

Computation

I may ask you to do a range of things on the exam, including (but not limited to):

Define a concept

Compute a metric from a small quantity of data

Interpret a chart

The final exam will be a little less than twice as long as the midterms, to fit in the scheduled period.

### Exam Rules¶

You may have

**1 note sheet**, letter- or A4-sized,**two-sided**.You should not need a calculator, but may bring one if you wish.

You may answer in either pen or pencil.

### Study Tips¶

Review the previous quizzes, assignments, and midterms.

Sit for the makeup midterm, even if you do not plan to turn it in.

Review lecture slides to see where you are unclear on concepts and need to review.

Skim assigned readings, particularly the section headings to remind yourself what was in them.

Review the course glossary, keeping in mind that it does contain terms we haven’t gotten to yet.