Data Analytics Made Easy

Data Analytics Made Easy: Use machine learning and data storytelling in your work without writing any code

Make informed decisions using data analytics, machine learning, and data visualizations

Key Features

  • Take raw data and transform it to add value to your organization
  • Learn the art of telling stories with your data to engage with your audience
  • Apply machine learning algorithms to your data with a few clicks of a button

Who this book is for

Whether you are working with data experts or want to find insights in your business’ data, 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.

Book Description

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.

Data Analytics Made Easy is an accessible guide to help you start analyzing data and quickly apply these skills to your work. It focuses on how to generate insights from your data at the click of a few buttons, using the popular tools KNIME and Microsoft Power BI.

The book introduces the concepts of data analytics and shows you how to get your data ready and apply machine learning algorithms. Implement a complete predictive analytics solution with KNIME and assess its level of accuracy. Create impressive visualizations with Microsoft Power BI 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 and gain an overview of alternative tools, including Tableau and H20 Driverless AI.

By the end of this book, you will have learned how to implement machine learning algorithms 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
  • Use KNIME to import, clean, transform, combine data feeds, and automate recurring workflows
  • Learn the basics of machine learning and AutoML to add value to your organization
  • Build, test, and validate simple supervised and unsupervised machine learning models with KNIME
  • Use Power BI and Tableau to build professional-looking and business-centric visuals and dashboards

More about the author

Andrea De Mauro, 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.

All content is for demonstration purposes, we do not store files, please purchase the printed version of the magazine after reading.

There are many ads here. Please keep in mind that is 100% free. Ads are keeping this site alive. If you use, please make an exception and disable any ads blocking system.

Extraction code:(qr4u)