Data Analytics Made Easy - (BookRAR)

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 ML algorithms. Implement a full 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

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.
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

Book Details

Language: English
Published: 2021
ISBN: 1801074151
Format: True (PDF EPUB) + Code

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