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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
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 PLEASE When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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
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 PLEASE When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
- GenresNonfictionScience
Audible Audio
Published February 2, 2022
562 people are currently reading
120 people want to read
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Displaying 1 - 7 of 7 reviews
February 23, 2018
This was a simple book, and a good introduction to data mining, and data science. But i did finish it in like half an hour. Honestly one of the best things about it is that it's essentially a compendium of tools and data sources which you can use if you want to dive into this more deeply. its also a fairly good glossary so that you can understand whats even happening when you read about this topic. its more like an intro to an intro and for what it is, it's decent.
September 28, 2022
great book that introduces data analytics
This is a book that covers fundamentals of data analytics for the beginners. Anyone who is curious about data science and wants to start working I. This BBC area, author provides an excellent explanation to the basic concepts in a layman’s language.
This is a book that covers fundamentals of data analytics for the beginners. Anyone who is curious about data science and wants to start working I. This BBC area, author provides an excellent explanation to the basic concepts in a layman’s language.
September 20, 2023
Great book
The author goes into a lot of statistical methods that can be used for gathering, assessing, and visualizing data
Unfortunately I was listening to it on audio and missed a lot of the graphs and examples
I will have to re read it and go slower to more fully get the concepts
I recommend this book to anyone wanting a deeper dive into all of the methods used in data analytics
The author goes into a lot of statistical methods that can be used for gathering, assessing, and visualizing data
Unfortunately I was listening to it on audio and missed a lot of the graphs and examples
I will have to re read it and go slower to more fully get the concepts
I recommend this book to anyone wanting a deeper dive into all of the methods used in data analytics
January 9, 2024
A great quick introduction to Data Analytics
A great book of an introduction to Data Analytics and its something that everyone should read if any one is keen to venture into that direction of career.
The book is eatly laid out with diagrams in enabling the reader to understand.
Overall a great read of a book. Best wishes Sean
A great book of an introduction to Data Analytics and its something that everyone should read if any one is keen to venture into that direction of career.
The book is eatly laid out with diagrams in enabling the reader to understand.
Overall a great read of a book. Best wishes Sean
February 9, 2025
Great introduction
Good introduction to data analytics covering the major data analytics topics. I especially liked the section at the end with python examples as well as recommendations for future reading. While the book does not provide a deep dive into the topics, it is a good read for those interested in this subject.
Good introduction to data analytics covering the major data analytics topics. I especially liked the section at the end with python examples as well as recommendations for future reading. While the book does not provide a deep dive into the topics, it is a good read for those interested in this subject.
September 24, 2022
Good
Good book for beginners who want to know what is there in data analytics. Example quated are simple to understand new ones
Good book for beginners who want to know what is there in data analytics. Example quated are simple to understand new ones
October 27, 2024
Not bad
In my never ending quest for knowledge and the tools to acquire it, this book was indispensable. I Recommend this book.
In my never ending quest for knowledge and the tools to acquire it, this book was indispensable. I Recommend this book.
Displaying 1 - 7 of 7 reviews