• Data Analytics

  • Simple and Effective Tips and Tricks to Learn Data Analytics Effectively
  • By: Benjamin Smith
  • Narrated by: William Bahl
  • Length: 3 hrs and 50 mins
  • 5.0 out of 5 stars (25 ratings)

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Publisher's Summary

This book has been created to help you understand the tips and tricks to learn data analytics easily and simply. It covers all the basic tips and tricks for beginners to understand how data analytics works. You will learn the process of data analytics and how it is different from data reporting. In this book, we have given in-depth details about types of data analytics, its characteristics, and its applications. You will also learn how to become a data analyst and about the skills required for the job. 

We have also focused on Python for data analytics and the advantages. Important Python libraries like Pandas, NumPy, Matplotlib, and IPython have been discussed in detail. You learn about the software development tools used in IPython for Data Analytics, NumPy features, and Data Processing using Arrays. Topics like Pandas data structures, indexing, filtering, data alignment, dataframe, series, sorting, and ranking will help you understand data analytics easily. 

A special focus has been given on NoSQL for Data Analytics, as it plays a very important role. Various types of NoSQL databases and their features have been included in this book along with how to perform text data analytics. Since the world is moving toward Big Data, we have also covered it for you. You will find more about descriptive analytics and predictive analytics, along with the seven steps for data analytics.
This book covers the statistical models and parameters like AR, Kalman regression, selection bias, and more. You will also learn the latest tools used in big data analytics. Important data visualization techniques are included in the book, with a special focus on various types of charts for visualization. 

So, what are you waiting for? Click on the buy button now to learn tips, tricks, and have your very own step-by-step guide on data analytics. 

©2020 Benjamin Smith (P)2021 Benjamin Smith

What listeners say about Data Analytics

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Perfect guide


I am a computer science masters student, and this book is not so technical so anyone who is even remotely ever engaged or interested in the fast growing field of data analytics and data science can read and understand with out the overburdening technical stuff found in other books

2 people found this helpful

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fine book

I have used the book to study multiple big data courses and it has been very useful and supportive. I appreciate the author/professor for writing such a good book.

1 person found this helpful

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suggested


This book did a great job in illustrating all the technical details about big data analytics, data mining, cluster and rules analysis and mostly used data mining tools and their vast similarities and differences

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outstanding


The Product is well structured and contains good descriptions of how qualitative data analysis is done. I as a student like the setup and logic. it isn't dry duo the theory instead it is made to be interesting and helpful if one needs to do a case study or a qualitative data analysis

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5 STARS

This book is detailed and gives real life examples from a managerial perspective. Helped me understand Project Management concepts better and was really helpful in getting good scores.

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fine book


One of the best on qualitative research. Nearly all details are told in a highly understandable style. Besides, some of you might find it sort of positivistic. One of the best, though.

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Very useful guide on data analytics.


Very useful guide on data analytics. My work involves a lot of dat analysis so I use this book more as a guidance. It’s easy enough for a beginner to learn and also advance enough for an intermediate person.

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get prepared


This book was recommended by my professor of market analytics. I read different chapters from here as I ventured into analyzing data using statistical tools, making sense of the past, and making predictions for the future to make better business decisions.

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SIMPLE GUIDE

A crash course to learn programming, data analytics, machine learning, web development and hands on projects. chapters of great information, for a learning experience like no other.

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A perfect introduction to the data

A perfect introduction to the data analytics, which helped me fully understand and pull-together lots of related concepts