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Data Analytics Made Easy

You're reading from Data Analytics Made Easy Analyze and present data to make informed decisions without writing any code

Product type Paperback

Published in Aug 2021

Publisher Packt

ISBN-13 9781801074155

Length 406 pages

Edition 1st Edition

Concepts

Data Science

Author (1):

Andrea De Mauro

View More author details

Table of Contents (14) Chapters

Preface

1. What is Data Analytics?

2. Getting Started with KNIME FREE CHAPTER

3. Transforming Data

4. What is Machine Learning?

5. Applying Machine Learning at Work

6. Getting Started with Power BI

7. Visualizing Data Effectively

8. Telling Stories with Data

9. Extending Your Toolbox

10. And now?

11. Useful Resources

12. Other Books You May Enjoy

13. Index

Index

Symbols

3D effects 298

A

accuracy 137

Accuracy 188

Advanced Analytics 4

aggregation function 76

Algorithm 117

Anaconda Individual Edition 346

download and installation link 346

Anaconda Navigator 346

anomaly detection 3

Application Programming Interfaces (APIs) 29

AppSource 235

Artificial General Intelligence (AGI) 118

Artificial Intelligence (AI) 117

Association Rules 126

Automated Machine Learning (AutoML) 355

example, with H2O.ai 356, 357, 358, 359

autonomous agents 4

Azure 234

B

background 298

Backward Elimination 147

Bagging 193

bar chart

histogram 286

horizontal bar chart 284

stacked bar chart 285

waterfall charts 286

bar charts

using, to convey size-related messages 283

best ad strategy

finding 121

Bootstrap Aggregation 193

business alerts 3

business analysts 9

Business Intelligence 4, 13

business questions

Evolution type...

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Authors (1)

De Mauro

De Mauro

Andrea De Mauro has more than 15 years of international experience managing Data Analytics and Data Science organizations. He is currently Head of Business Intelligence at Vodafone Italy. Previously, he served as Director of Business Analytics at Procter & Gamble, looking after the continuous elevation of data analytics in the business and the development of digital fluency across the global organization. He is a professor of Marketing Analytics and Applied Machine Learning at the International University in Geneva, Switzerland, and at the Universities of Bari and Florence, Italy. In his research, he investigates the essential components of Big Data as a phenomenon and the impact of AI and Data Analytics on companies and people. He is the author of popular science books on data analytics and research papers in international journals.

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