Make better decisions with this deconstructed guide to data analyticsWant to add data analytics to your skill stack? Having trouble finding where to start?Cell by cell, bit by bit, this book teaches you the vocabulary, tools, and basic algorithms to think like a data scientist. Using the "Lego set" approach, each chapter adds and connects 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 Book For?This book 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 book is for you.Practical ApproachThis book 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 book, 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 few 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 IntelligenceJoin this introductory course by buying a copy now or sending a free sample to your chosen device.
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.
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.
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
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
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.