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

Table of contents

1. Introduction
   1. Data Analytics Toolkit: Introduction
   2. Author introduction by Eric Gaze
   3. Author introduction by McKenzie Lamb
2. Lesson 1: Bank Data
   1. Topics
   2. 1.1 Excel: Bank Data
   3. 1.2 Tableau: Bank Data
   4. 1.3 R: Bank Data Part 1
   5. 1.4 R: Bank Data Part 2
   6. 1.5 R: Bank Data Part 3
   7. 1.6 R: Bank Data Part 4
   8. 1.7 R: Bank Data Part 5
   9. 1.8 Intro to Python: Bank Data
   10. 1.9 Python Plotly: Bank Data
3. Lesson 2: Countries
   1. Topics
   2. 2.1 Excel: Countries Part 1
   3. 2.2 Excel: Countries Part 2
   4. 2.3 Tableau: Countries Part 1
   5. 2.4 Tableau: Countries Part 2
   6. 2.5 R: Countries Part 1
   7. 2.6 R: Countries Part 2
   8. 2.7 Python: Countries
4. Lesson 3: Wisconsin Elections
   1. Topics
   2. 3.1 Excel: Wisconsin Elections
   3. 3.2 Tableau: Wisconsin Elections Part 1
   4. 3.3 Tableau: Wisconsin Elections Part 2
   5. 3.4 Tableau: Wisconsin Elections Part 3
   6. 3.5 R: Wisconsin Elections Part 1
   7. 3.6 R: Wisconsin Elections Part 2
   8. 3.7 Python: Wisconsin Elections Part 1
   9. 3.8 Python: Wisconsin Elections Part 2
5. Lesson 4: Covid
   1. Topics
   2. 4.1 Excel: Covid
   3. 4.2 Tableau: Covid
   4. 4.3 R: Covid
   5. 4.4 Python: Covid
6. Lesson 5: Nightingale’s Rose
   1. Topics
   2. 5.1 Excel: Nightingale’s Rose
   3. 5.2 Tableau: Nightingale’s Rose
   4. 5.3 R: Nightingale’s Rose
   5. 5.4 Python: Nightingale’s Rose Part 1
   6. 5.5 Python: Nightingale’s Rose Part 2
   7. 5.6 Python: Nightingale’s Rose Part 3
   8. 5.7 Python: Nightingale’s Rose Part 4
7. Summary
   1. Data Analytics Toolkit: Summary