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

Andrea De Mauro

ISBN 10: 1801074151 / ISBN 13: 9781801074155

Published by Packt Publishing Limited, United Kingdom, Birmingham, 2021

About this Item

Learn how to gain insights from your data as well as machine learning and become a presentation pro who can create interactive dashboards 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 DescriptionData Analytics Made Easy is an accessible beginners 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? Dont 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. Youll 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. Youll not only be able to understand data scientists machine learning models; youll be able to challenge them and build your own. Creating interactive dashboards Follow the books 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 forThis 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. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Seller Inventory # GOR013385965

Bibliographic Details

• Title: Data Analytics Made Easy: Analyze and present data to make informed decisions without writing any code
• Publisher: Packt Publishing Limited, United Kingdom, Birmingham
• Publication Date: 2021
• Language: English
• ISBN 10: 1801074151
• ISBN 13: 9781801074155
• Binding: Paperback
• Condition: Very Good
• Weight: 748 grams

About this title

Synopsis

Use data analytics and data storytelling in your work without writing any code

Key Features

• Learn the art of telling stories with your data
• Get ahead in your career by thinking like a data scientist
• Start working with data to get better insights

Book Description

Data Analytics Made Easy is an accessible guide for anyone new to working with data. It focuses on how to generate insights from your data at a click of a button using popular tools, without having to write a line of code! The book helps you start analyzing data and quickly apply these skills to your work.

Data analytics has become a necessity in modern business, and skills such as data visualization, machine learning, and digital storytelling are now essential in every field. If you want to make sense of your data and add value with informed decisions, this is the book for you.

The book introduces the concepts of data analytics and shows you how to get your data ready and apply algorithms. Implement analytics solutions to predict future trends and assess their levels of accuracy. Create impressive visualizations and learn the greatest secret in successful analytics – how to tell a story with your data. You'll connect the dots on the various stages of the data-to-insights process.

By the end of this book, you will have learned how to get your data talking and sell the results to your customers without writing a line of code.

What you will learn

• Understand the potential of data and its impact on any business
• Influence business decisions with effective data storytelling when delivering insights
• Import, clean, transform, combine data feeds, and automate your processes
• Learn the basics of machine learning to add value to your organization
• Create professional-looking and business-centric visuals and dashboards

Who this book is for

If you are new to working with data and you want to progress in your career, you'll find this book an effective way to add analytics to your skill stack.

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

Table of Contents

1. What is Data Analytics?
2. Getting Started with KNIME
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

About the 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.