Data Analytics Toolkit: Introduction
6m 20s
Author introduction by Eric Gaze
4m 49s
Author introduction by McKenzie Lamb
2m 42s
Topics
2m 34s
1.1 Excel: Bank Data
24m 48s
1.2 Tableau: Bank Data
15m 20s
1.3 R: Bank Data Part 1
15m 12s
1.4 R: Bank Data Part 2
5m 56s
1.5 R: Bank Data Part 3
9m 19s
1.6 R: Bank Data Part 4
16m 21s
1.7 R: Bank Data Part 5
12m 30s
1.8 Intro to Python: Bank Data
21m 49s
1.9 Python Plotly: Bank Data
23m 41s
Topics
6m 8s
2.1 Excel: Countries Part 1
19m 28s
2.2 Excel: Countries Part 2
23m 43s
2.3 Tableau: Countries Part 1
25m 23s
2.4 Tableau: Countries Part 2
30m 47s
2.5 R: Countries Part 1
23m 57s
2.6 R: Countries Part 2
25m 30s
2.7 Python: Countries
26m 12s
Topics
6m 9s
3.1 Excel: Wisconsin Elections
20m
3.2 Tableau: Wisconsin Elections Part 1
15m 55s
3.3 Tableau: Wisconsin Elections Part 2
16m 10s
3.4 Tableau: Wisconsin Elections Part 3
9m 15s
3.5 R: Wisconsin Elections Part 1
15m 34s
3.6 R: Wisconsin Elections Part 2
13m 14s
3.7 Python: Wisconsin Elections Part 1
10m 21s
3.8 Python: Wisconsin Elections Part 2
20m 46s
Topics
3m 11s
4.1 Excel: Covid
11m 19s
4.2 Tableau: Covid
11m 59s
4.3 R: Covid
21m 11s
4.4 Python: Covid
21m 27s
Topics
1m 56s
5.1 Excel: Nightingale's Rose
20m 11s
5.2 Tableau: Nightingale's Rose
26m 57s
5.3 R: Nightingale's Rose
26m 4s
5.4 Python: Nightingale's Rose Part 1
13m 52s
5.5 Python: Nightingale's Rose Part 2
20m 8s
5.6 Python: Nightingale's Rose Part 3
6m 45s
5.7 Python: Nightingale's Rose Part 4
14m 30s
Data Analytics Toolkit: Summary
33s
https://www.oreilly.com/videos/data-analytics-toolkit/9780135397732/

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