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Theresa Scharl

BOKU Vienna

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Dynamic Documents with R Markdown (Part 1) SIEPR 130 Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall

10:30am PDT

Dynamic Documents with R Markdown (Part 2) SIEPR 130 Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall

1:00pm PDT

Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 1) Lane

2:30pm PDT

Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 2) Lane

8:30am PDT

Opening Session McCaw Hall

9:00am PDT

Forty years of S McCaw Hall

10:30am PDT

R in machine learning competitions McCaw Hall

1:00pm PDT

Continuous Integration and Teaching Statistical Computing with R SIEPR 130

1:18pm PDT

Integrated R labs for high school students SIEPR 130

1:36pm PDT

Introducing Statistics with intRo SIEPR 130

1:54pm PDT

A first-year undergraduate data science course SIEPR 130

2:12pm PDT

Teaching R to 200 people in a week SIEPR 130

6:30pm PDT

Welcome Reception Bing Concert Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

2:12pm PDT

Using R in a regulatory environment: FDA experiences. McCaw Hall

2:30pm PDT

Approaches to R education in Canadian universities Sponsor Pavilion

4:30pm PDT

Cruise & Conference Dinner McCaw Hall

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

11:42am PDT

Most Likely Transformations McCaw Hall

2:00pm PDT

RCloud - Collaborative Environment for Visualization and Big Data Analytics McCaw Hall

3:00pm PDT

Closing Remarks McCaw Hall