Data Analytics Toolkit: From Excel to Python, R, and Tableau

Course Outline

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