Data science skills

Animals and data

Dyr og data is your first foray into learning key data science skills

Why?

1. to help you complete your Animal Science degree
   • efficiently
   • reproducibly
2. to prepare you for your future career
   • in industry
   • in another field
   • in academia
3. to equip you as informed citizens

Dyr og Data

This is a course in applied data science

We’re not trying to turn to into computer scientists or statisticians

We do want you to use data science skills during your education & when you graduate

Course topics

Learning objectives

At the end of the course

Knowledge

• Describe and separate different data types and methods of data storage
• Describe the visualization theory and grammar behind graphics, and apply both in the creation of data visualizations
• Define and explain fundamental statistical concepts, and apply statistical thinking to make evidence-based decisions from data

Skills

• Select and use methods for data handling of different types of data
• Analyze data using descriptive statistics and exploratory data analysis and explain the results
• Create dynamic reports of data, both as a document and as a presentation

Flipped classroom

This course is different

Mostly be working in groups during class time

Outside of class you will:

• watch short lecture videos
• read parts of the course texts
• (later) work on your portfolio

Course texts

Assessments

The course will be assessed pass / fail

Oral Examination

Student gives a 5 minute presentation on a randomly selected portfolio project (48 hrs prep)

Followed by 15 minutes of questions on the course syllabus

3 Portfolio projects

We’ll introduce these to you later in the course

Computing Environment

posit.cloud

Sign up for a free account — invites sent out this morning

Contacting us

By direct email:

• gavin@anivet.au.dk (include Dyr og data in subject line)

Expect a response within 48 hours (2 working days)

During the week responses usually within 24 hours

If you send an email after 4pm on Friday don’t expect a response until Monday at the earliest

Email to arrange a meeting as needed

Groups

What to bring to class

1. Laptop!

2. Textbook

Breaks

Before Friday’s Class