Sunday 14 April 2024

4 Free books to master Data Analytics

 Storytelling with Data: A Data Visualization Guide for Business Professionals  

Don't simply show your data - tell a story with it!

Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory but made accessible through numerous real-world examples - ready for immediate application to your next graph or presentation.

Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to:

Understand the importance of context and audience

Determine the appropriate type of graph for your situation

Recognize and eliminate the clutter clouding your information

Direct your audience's attention to the most important parts of your data

Think like a designer and utilize concepts of design in data visualization

Leverage the power of storytelling to help your message resonate with your audience

Together, the lessons in this book will help you turn your data into high-impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data - Storytelling with Data will give you the skills and power to tell it!

Fundamentals of Data Analytics: Learn Essential Skills, Embrace the Future, and Catapult Your Career in the Data-Driven World—A Comprehensive Guide to Data Literacy for Beginners

Gain a competitive edge in today’s data-driven world and build a rich career as a data professional that drives business success and innovation…

Today, data is everywhere… and it has become the essential building block of this modern society.

And that’s why now is the perfect time to pursue a career in data.

But what does it take to become a competent data professional?

This book is your ultimate guide to understanding the fundamentals of data analytics, helping you unlock the expertise of efficiently solving real-world data-related problems.

Here is just a fraction of what you will discover:

A beginner-friendly 5-step framework to kickstart your journey into analyzing and processing data

How to get started with the fundamental concepts, theories, and models for accurately analyzing data

Everything you ever needed to know about data mining and machine learning principles

Why business run on a data-driven culture, and how you can leverage it using real-time business intelligence analytics

Strategies and techniques to build a problem-solving mindset that can overcome any complex and unique dataset

How to create compelling and dynamic visualizations that help generate insights and make data-driven decisions

The 4 pillars of a new digital world that will transform the landscape of analyzing data

And much more.

Believe it or not, you can be terrible in math or statistics and still pursue a career in data.

And this book is here to guide you throughout this journey, so that crunching data becomes second nature to you.

Ready to master the fundamentals and build a successful career in data analytics? Click the “Add to Cart” button right now.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy: Python for Data Science, Book 2

Make better decisions with this easy deconstructed guide to data analytics.

Want to add data analytics to your skill stack? Having trouble finding where to start?

Cell-by-cell, bit-by-bit, this audiobook teaches you the vocabulary, tools, and basic algorithms to think like a data scientist.

Like putting together a complex Lego set, each section connects and adds individual blocks of knowledge to build your data literacy. This linear structure to unpacking data analytics takes you from zero to confidently analyzing and discussing data problems.

Who is this audiobook for? This audiobook is ideal for anyone interested in making sense of data analytics without the assumption that you understand data science terminology or advanced math. If you've tried to learn data analytics before and failed, this audiobook is for you.

Practical approach. This audiobook takes a hands-on approach to learning. This includes practical examples, visual examples, as well as two bonus coding exercises in Python, including free video content to walk you through both exercises. By the end of the audiobook, you will have the practical knowledge to tackle real data problems in your organization or daily life.

What you will learn:

How to recognize the common data types every data scientist needs to master
Where to store your data, including big data
New trends in data analytics, including what is alternative data and why not many people know about it
How to explain the distinction between data mining, machine learning, and analytics to your colleagues
When and how to use regression analysis, classification, clustering, association analysis, and natural language processing
How to make better business decisions using data visualization and business intelligence

Data Analytics, Data Visualization & Communicating Data: 3 books in 1: Learn the Processes of Data Analytics and Data Science, Create Engaging Data Visualizations, and Present Data Effectively

Harvard Business Review called data science “the sexiest job of the 21st century,” so it's no surprise that data science jobs have grown up to 20 times in the last three years. With demand outpacing supply, companies are willing to pay top dollar for talented data professionals. However, to stand out in one of these positions, having foundational knowledge of interpreting data is essential. You can be a spreadsheet guru, but without the ability to turn raw data into valuable insights, the data will render useless. That leads us to data analytics and visualization, the ability to examine data sets, draw meaningful conclusions and trends, and present those findings to the decision-maker effectively.

Mastering this skill will undoubtedly lead to better and faster business decisions. The three audiobooks in this series will cover the foundational knowledge of data analytics, data visualization, and presenting data, so you can master this essential skill in no time. This series includes:

Everything data analytics: a beginner's guide to data literacy and understanding the processes that turns data into insights.

Beginner's guide to data visualization: how to understand, design, and optimize over 40 different charts.

How to win with your data visualizations: the five part guide for junior analysts to create effective data visualizations and engaging data stories.

These three audiobooks cover an extensive amount of information, such as:

Overview of the data collection, management, and storage processes.

Fundamentals of cleaning data.

Essential machine learning algorithms required for analysis such as regression, clustering, classification, and more....

The fundamentals of data visualization.

An in-depth view of over 40 plus charts and when to use them.

A comprehensive data visualization design guide.

Walkthrough on how to present data effectively.

And so much more!


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