𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Data Analytics A Practical Guide To Data Analytics For Business, Beginner To Expert

✍ Scribed by James Fahl


Year
2017
Tongue
English
Leaves
51
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


Understand Data Analytics and Implement it in Your Business Today

Do you want improve your revenue and stop missing out on profit?

Do you want to learn about how data analytics in a style and approach that is suitable for you, regardless of your current knowledge?

This book not only provides step-by-step guide to data analytics, but teaches you actionable steps to improve your analysis in all environments! Are you ready to learn?
If so, Data Analytics: Practical Guide To Data Analytics For Business, Beginner To Expert(Data Analytics, Prescriptive Analytics, Statistics, Big Data, Intelligence, Master Data, Data Science, Data Mining).by James Fahl is THE book for you! It covers the most essential topics you must learn to become a master of Data Analytics.

What Separates This Book From The Rest?

What separates this book from the rest? The unique way you will learn with examples and steps. Many books leave you more confused than before you picked them up, not this book, it’s clear concise and implementable.

We make it our goal to write this book in plain easy to understand English that anyone can understand. Gone are the days of highly technical language. This allows you to quickly learn topics, and use your new skills immediately.
To aid you in learning the topics quickly and effectively this book has been designed to be the ultimate step-by-step guide. Making sure that you’re confident and clear with each topic before moving on!

You Will Learn The Following:

What is Data Analytics?

Why use Data Analytics

The importance of Data Analytics

Types of Data Analytics

Explanations of Different models

Collecting Data

Mistakes to avoid

Whether you just want to learn more about Data Analysis or already know but want a step-by-step guide to implement it in your life, this is the book for you!

So don’t delay it any longer. Take this opportunity and invest in your self by buying this guide now.

You will be shocked by how fast you learn about Data Analytics!

✦ Table of Contents


Chapter 1 what is data analysis?......Page 5
Chapter 2 Why use data analysis?......Page 14
Chapter 3 The significance of data analysis for your business:......Page 16
Descriptive analytics......Page 24
Diagnostic analytics......Page 28
Predictive analytics......Page 29
Prescriptive analytics......Page 38
Chapter 5 Collecting Data......Page 39
Chapter 6 Mistakes to avoid......Page 44
Conclusion......Page 51


πŸ“œ SIMILAR VOLUMES


Data Analytics A Practical Guide To Data
✍ James Fahl πŸ“‚ Library πŸ“… 2017 🌐 English

Understand Data Analytics and Implement it in Your Business Today Do you want improve your revenue and stop missing out on profit? Do you want to learn about how data analytics in a style and approach that is suitable for you, regardless of your current knowledge? This book not only provide

Data Analytics for Absolute Beginners: A
✍ Oliver Theobald πŸ“‚ Library πŸ“… 2019 πŸ› Independently published 🌐 English

While exposure to data has become more or less a daily ritual for the rank-and-file knowledge worker, true understandingβ€”treated in this book as data literacyβ€”resides in knowing what lies behind the data.</br> Everything from the data’s source to the specific choice of input variables, algorithmic

A Beginner's Guide to Python for Data An
✍ Henry Harvin πŸ“‚ Library πŸ“… 2023 πŸ› India Education LLP 🌐 English

Want complete instructions on the Python library and its elements? Get solutions with practical case studies and implications of Python in data analysis through this book. β€œA Beginner's Guide to Python for Data Analysis” will help you to learn about the different aspects of Python along with its imp

Beginning Microsoft Power Bi: A Practica
✍ Dan Clark πŸ“‚ Library πŸ“… 2020 πŸ› Apress 🌐 English

<p></p><p>Analyze company data quickly and easily using Microsoft's powerful data tools. Learn to build scalable and robust data models, clean and combine different data sources effectively, and create compelling and professional visuals.</p> <p><i><b>Beginning Power BI</b> </i>is a hands-on, activi