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

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Free Download Data Analytics Toolkit From Excel to Python, R, and Tableau
Released 10/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 11h 9m | Size: 3.23 GB
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

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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

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[0dayddl]

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

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RapidGator

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