Overview

CS301
bk_cal_speakers


Sheet 1: CS301

Tentative schedule, Updated weekly; 6 October 2021


Material Session Date Reading
Week 1 Introductions to the course



Tuesday 24 August see slides

no lab Tuesday 24 handout


Thursday 26 see slides

Introductions to the course




Ethics in analysis and when working with data



Week 2 Google Analytics



Tuesday 31 see slides

Lab 01 Tuesday 31 handout


Thursday 2 Sept see slides

Ethics, Google Analytics: Basics




collection, processing and reporting



Week 3 Exploration



Tuesday 7 see slides

Speaker: Ron Mattocks Tuesday 7 handout


Thursday 9 see slides

Intro to R, rStudio, visualization




Exploratory Analysis



Week 4 Exploration



Tuesday 14 see slides

Lab 02 Tuesday 14 handout


Thursday 16 see slides

Data Type Transformations








Week 5 Working with data



Tuesday 21 see slides

Lab 03 Tuesday 21 handout

Speaker: Yee Mon Thu Thursday 23 see slides

Exploration








Week 6 Categories and Bins



Tuesday 28 see slides

no new lab; work day Tuesday 28


Thursday 30 see slides

Tidy Data and Import




Coronavirus case analysis



Week 7



Tuesday 5 Oct see slides

Lab 04 Tuesday 5 handout


Thursday 7 see slides

Categories and Bins








Week 8



Tuesday 12 see slides

Exam 1 Tuesday 12


Thursday 14 see slides

Basic Statistics




Linear Models



Week 9



Tuesday 19 see slides

Speaker: Lydia Eckstein Tuesday 19 handout

Break 1 Thursday 21

Understanding Regression Models








Week 10



Tuesday 26 see slides


Tuesday 26 handout


Thursday 28 see slides

Regression Models








Week 11



Tuesday 2 Nov

Break 2 Tuesday 2


Thursday 4

Multivariate linear models








Week 12



Tuesday 9 see slides

Speaker: Steve Onyeiwu Tuesday 9 handout


Thursday 11 see slides

Text Analysis








Week 13

Tuesday 16 see slides

Speaker: Chelsea Peebles (Zoom) Tuesday 16 handout
Exam 2: During class time Thursday 18 see slides

Machine Learning








Week 14


Thanks Giving Break Tuesday 23

Thanks Giving Break Tuesday 23

Thanks Giving Break Thursday 25










Week 15



Tuesday 30 see slides


Tuesday 30 handout


Thursday 2 Dec see slides

End of Class








Week 16



Tuesday 7


Tuesday 7


Thursday 9

Presentations Monday 13


Final deliverable Due




Sheet 2: bk_cal_speakers

Tentative schedule, Updated weekly; 23 August 2021


Material Session Date Reading
Week 1 Introductions to the course



Tuesday 24 August see slides


Tuesday 24 handout


Thursday 26 see slides

Introductions to the course




Ethics in analysis and when working with data



Week 2 Introductions to the course



Tuesday 31 see slides


Tuesday 31 handout


Thursday 2 Sept see slides

Ethics, Google Analytics: Basics




collection, processing and reporting



Week 3 Introductions to the course



Tuesday 7 see slides

Ron Mattocks? Tuesday 7 handout


Thursday 9 see slides

Intro to R, rStudio, visualization




Exploratory Analysis



Week 4 Introductions to the course



Tuesday 14 see slides


Tuesday 14 handout


Thursday 16 see slides

Data Type Transformations








Week 5 Introductions to the course



Tuesday 21 see slides

Yee Mon Thu? Tuesday 21 handout


Thursday 23 see slides

Exploration








Week 6 Introductions to the course



Tuesday 28 see slides


Tuesday 28 handout


Thursday 30 see slides

Tidy Data and Import








Week 7 Introductions to the course



Tuesday 5 Oct see slides


Tuesday 5 handout


Thursday 7 see slides

Tidy Data and Import








Week 8 Introductions to the course



Tuesday 12 see slides


Tuesday 12 handout


Thursday 14 see slides

Basic Statistics




Linear Models



Week 9 Introductions to the course



Tuesday 19 see slides

Lydia Eckstein Tuesday 19 handout

Break 1 Thursday 21

Understanding Regression Models








Week 10 Introductions to the course



Tuesday 26 see slides


Tuesday 26 handout


Thursday 28 see slides

Regression Models








Week 11 Introductions to the course



Tuesday 2 Nov

Break 2 Tuesday 2


Thursday 4

Multivariate linear models








Week 12 Introductions to the course



Tuesday 9 see slides

Steve? Tuesday 9 handout


Thursday 11 see slides

Text Analysis








Week 13 Introductions to the course 16


Tuesday 16 see slides


Tuesday 18 handout


Thursday see slides

Machine Learning








Week 14 Introductions to the course


Thanks Giving Break Tuesday 23

Thanks Giving Break Tuesday 23

Thanks Giving Break Thursday 25










Week 15 Introductions to the course



Tuesday 30 see slides


Tuesday 30 handout


Thursday 2 Dec see slides

Presentations








Week 16 Introductions to the course



Tuesday 7


Tuesday 7


Thursday 9

Final deliverable Due Monday 13






Week 17 Introductions to the course



Tuesday 14 see slides


Tuesday 14 handout


Thursday 16 see slides