Wow! eBook
Data Analytics Made Easy
Author(s): Andrea De Mauro (Author)
- Publisher: Packt Publishing
- Publication Date: 30 Aug. 2021
- Language: English
- Print length: 406 pages
- ISBN-10: 1801074151
- ISBN-13: 9781801074155
Book Description
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
- 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
Editorial Reviews
Review
“What I like about Data Analytics Made Easy is that you don’t have to come from a technical background to implement data science and machine learning anymore. We are all crunching a lot of data to make sense of things and hypothesizing future predictions. There are thousands, if not millions of people in Sales, Marketing, HR, and Finance working with data and trying to manually generate insights. I found this book useful to get new views on how to go from manual to automated data analysis with no coding!” – Denis Rothman, Artificial Intelligence Author, Speaker
“This book is an important contribution to the industry and an essential tool for anybody who has stakes in the development of Data Literacy for The Many in their professional (or personal!) ecosystem. It’s about enabling every individual to play an active role in the quest to improve the state of the world. All with the power of data.” – Francesco Marzoni, Chief Data & Analytics Officer of IKEA Retail (Ingka Group)
“Andrea does a great job of providing the analytic fundamentals that professionals of all levels need on this journey. Whether you are a junior professional breaking into data science, a business leader across marketing, supply chain, HR, etc., or the executive tasked with starting/fixing/transforming your company’s analytics journey, you are starting in the right place. Dig in! Make Data Analytics Made Easy the start of your journey, and never stop learning.” – Andrew J. Walter, Board and Strategic Advisor, former SVP at Proctor & Gamble
