Data Analytics Made Easy: Analyze and present data to make informed decisions without writing any code by Andrea de Mauro
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.
Categories: Business & Economics
