Why Data Science Innovation?
Watch: Introduction to AT1 and writing in data science
Why Data Science Innovation?
Problem identification
Opportunities for innovation
When things go wrong in data science projects
Accessing, finding, and researching for resources
Applying it: Benchmarking for feedback
Individual activity: Writing in Data Science padlet
AT1: Read: Building your argument
AT1: Individual Activity: Building your argument (part 1)
AT1: Individual Activity: Building your argument
AT1: Individual Activity: Supporting your claims
AT1: Individual Activity + Peer Discussion: Putting it together
What is innovation?
A brief history of data as thing
Innovation, improvement, and creativity
AT2: Professional tools of Data Science - RStudio
Activity: AT1 - submit this week, instructions
REVIEW Assessment 1: Analysis of Contemporary Trends in Data Science
AT2: Using the template
AT2: Basic [paragraph] structure for AT2
AT2: Process, peer review, and FAQ
AT2: Exemplars
AT2: Writing about and with data: Visualisations
AT2: Common errors
AT1: Creating a Medium account