Week1

Why Data Science Innovation?

Week1

Watch: Introduction to AT1 and writing in data science

Week1

Why Data Science Innovation?

Week1

Problem identification

Week1

Opportunities for innovation

Week1

When things go wrong in data science projects

Week1

Accessing, finding, and researching for resources

Week1

Applying it: Benchmarking for feedback

Week2

Individual activity: Writing in Data Science padlet

Week2

AT1: Read: Building your argument

Week2

AT1: Individual Activity: Building your argument (part 1)

Week2

AT1: Individual Activity: Building your argument

Week2

AT1: Individual Activity: Supporting your claims

Week2

AT1: Individual Activity + Peer Discussion: Putting it together

Week3

What is innovation?

Week3

A brief history of data as thing

Week3

Innovation, improvement, and creativity

Week3

AT2: Professional tools of Data Science - RStudio

Week6

Activity: AT1 - submit this week, instructions

Week6

REVIEW Assessment 1: Analysis of Contemporary Trends in Data Science

Week6

AT2: Using the template

Week6

AT2: Basic [paragraph] structure for AT2

Week6

AT2: Process, peer review, and FAQ

Week6

AT2: Exemplars

Week6

AT2: Writing about and with data: Visualisations

Week6

AT2: Common errors

Week7

AT1: Creating a Medium account