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

Category: Tutorials



Data Analytics Toolkit: From Excel to Python, R, and Tableau
Data Analytics Toolkit: From Excel to Python, R, and Tableau
ISBN: 0135397731 | .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 11h 9m | 3.23 GB
Instructors: Eric Gaze, McKenzie Lamb


The Sneak Peek program provides early access to Pearson video products and is exclusively available to subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.

Introduction

Data Analytics Toolkit: Introduction
Author introduction by Eric Gaze
Author introduction by McKenzie Lamb

Lesson 1: Bank Data

Topics
1.1 Excel: Bank Data
1.2 Tableau: Bank Data
1.3 R: Bank Data Part 1
1.4 R: Bank Data Part 2
1.5 R: Bank Data Part 3
1.6 R: Bank Data Part 4
1.7 R: Bank Data Part 5
1.8 Intro to Python: Bank Data
1.9 Python Plotly: Bank Data

Lesson 2: Countries

Topics
2.1 Excel: Countries Part 1
2.2 Excel: Countries Part 2
2.3 Tableau: Countries Part 1
2.4 Tableau: Countries Part 2
2.5 R: Countries Part 1
2.6 R: Countries Part 2
2.7 Python: Countries

Lesson 3: Wisconsin Elections

Topics
3.1 Excel: Wisconsin Elections
3.2 Tableau: Wisconsin Elections Part 1
3.3 Tableau: Wisconsin Elections Part 2
3.4 Tableau: Wisconsin Elections Part 3
3.5 R: Wisconsin Elections Part 1
3.6 R: Wisconsin Elections Part 2
3.7 Python: Wisconsin Elections Part 1
3.8 Python: Wisconsin Elections Part 2

Lesson 4: Covid

Topics
4.1 Excel: Covid
4.2 Tableau: Covid
4.3 R: Covid
4.4 Python: Covid

Lesson 5: Nightingale's Rose

Topics
5.1 Excel: Nightingale's Rose
5.2 Tableau: Nightingale's Rose
5.3 R: Nightingale's Rose
5.4 Python: Nightingale's Rose Part 1
5.5 Python: Nightingale's Rose Part 2
5.6 Python: Nightingale's Rose Part 3
5.7 Python: Nightingale's Rose Part 4

Summary

Data Analytics Toolkit: Summary

More Info




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