Data Analytics Made Easy: Analyze and present data to make informed decisions without writing any code

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Data Analytics Made Easy: Analyze and present data to make informed decisions without writing any code

Author : Andrea De Mauro

Publisher ‏ : Packt Publishing (August 30, 2021)

Language ‏ : ‎ English

Paperback ‏ : ‎ 406 Pages

1) Book Description

Key Features

Enhance your presentation skills by implementing engaging data storytelling and visualization techniques

Learn the basics of machine learning and easily apply machine learning models to your data

Improve productivity by automating your data processes

Book Description

Data Analytics Made Easy is an accessible beginner's guide for anyone working with data. The book interweaves four key elements:

Data visualizations and storytelling – Tired of people not listening to you and ignoring your results? Don't worry; chapters 7 and 8 show you how to enhance your presentations and engage with your managers and co-workers. Learn to create focused content with a well-structured story behind it to captivate your audience.

Automating your data workflows – Improve your productivity by automating your data analysis. This book introduces you to the open-source platform, KNIME Analytics Platform. You'll see how to use this no-code and free-to-use software to create a KNIME workflow of your data processes just by clicking and dragging components.

Machine learning – Data Analytics Made Easy describes popular machine learning approaches in a simplified and visual way before implementing these machine learning models using KNIME. You'll not only be able to understand data scientists' machine learning models; you'll be able to challenge them and build your own.

Creating interactive dashboards – Follow the book's simple methodology to create professional-looking dashboards using Microsoft Power BI, giving users the capability to slice and dice data and drill down into the results.

What you will learn

Understand the potential of data and its impact on your business

Import, clean, transform, combine data feeds, and automate your processes

Influence business decisions by learning to create engaging presentations

Build real-world models to improve profitability, create customer segmentation, automate and improve data reporting, and more

Create professional-looking and business-centric visuals and dashboards

Open the lid on the black box of AI and learn about and implement supervised and unsupervised machine learning models

Who this book is for

This book is for beginners who work with data and those who need to know how to interpret their business/customer data. The book also covers the high-level concepts of data workflows, machine learning, data storytelling, and visualizations, which are useful for managers.

No previous math, statistics, or computer science knowledge is required.

Table of Contents

What is Data Analytics?

Getting Started with KNIME

Transforming Data

What is Machine Learning?

Applying Machine Learning at Work

Getting Started with Power BI

Visualizing Data Effectively

Telling Stories with Data

Extending Your Toolbox

2) About Author

Andrea De Mauro is Director of Business Analytics at Procter & Gamble, looking after the continuous elevation of the role of data and algorithms 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 Universities of Bari and Florence, Italy, and at the International University in Geneva, Switzerland. His research 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 various research papers in international journals.