Introduction
The global spread of the Internet has facilitated the availability of knowledge. Each information is at our fingertips. As a result, we're seeing a global decline in book purchases and library visits. We will not be entirely wrong to say that the Internet and e-books are becoming a substitute for books and libraries..
There are more treasures in the books than in all the pirate loot on Treasure Island “. – Walt disney
But it's a myopic mindset that forgets everything old. All the great leaders of the world still read and learn from books. Even the most widely available e-books fail compared to the psychological impact of reading and learning from books. What Walt Disney Said stood the test of time. There is no replacement for a book and the treasure you find is the key to more treasures in life..
Like any other topic, even business analytics professionals have a collection of books to broaden their minds. In this article, I will talk about several books to perfect.
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Table of Contents
- Microsoft Excel Data Analysis and Business Modeling by Wayne L. Winston
- Naked stats: removing terror from data by Charles Wheelan
- Python for data analysis: data management with Pandas, NumPy e IPython por Wes McKinney
- SQL en 10 minutes a day for Very strong
- Storytelling with Data: A Data Visualization Guide for Business Professionals by Cole Nussbaumer Knaflic
- Handy Tableau: 100 advice, Tableau Tutorials and Strategies by Ryan Sleeper
- Andriy Burkov's Hundred-Page Machine Learning Book
- The principle of the pyramid: logic in writing and thinking by Barbara Minto
- Scoring points: How Tesco Continues to Win Customer Loyalty by Terry Hunt
The 21st century has changed the game regarding data storage and warehousing. What's more, the large amount of data generated cannot be analyzed manually using statistics. Therefore, began to depend on the statistical analysis of computer applications.
For more than 35 years, Standing out has been a favorite of beginners to perform all kinds of statistical analysis. Mastering Excel serves as a great stepping stone to your analytics career.
Microsoft Excel Data Analysis and Business Modeling by Wayne L. Winston is one of the best books to learn MS Excel from scratch. The book doesn't just cover the use of Excel for basic statistics and probability, it also has rich content for practical application of technical topics like multiple regression, time series prediction, etc. an expert in excelling with lots of hands-on exercises for each topic.
Here is a course for you if books are not your way of learning: Microsoft Excel: from beginner to advanced-2.0
Business Analytics professionals regard statistics as their foundational knowledge. Helps them understand the available data and find the necessary relationships.
“[Wheelan] do something unique here: makes statistics interesting and fun. His book strips the subject of its complexity to expose the sexy underneath “.
– The Economist
Naked Statistics by Charles Wheelan is considered by many to be the best beginner's book on statistics.. It's fun and easy to read when it comes to explaining descriptive statistics topics, inferencial, probability and regression.
With technical concepts explained in simple terms, this not only serves as a great beginner's book. But so that anyone can review or review the topics of statistics without getting bored.
Have you ever wondered how you will manipulate the data you have? How are you going to explore it in depth, find relationships between variables and identify and transform various types of data types? These tasks can be easily accomplished with a simple line of code in Python. Your most basic libraries don't just help you perform data analysis, they also help you explore and transform the data with just a couple of lines of code.
Business analytics professionals often use Piton for descriptive analysis. They also perform exploratory data analysis to find patterns, trends and various relationships between variables to obtain information and help make better decisions for the business.
This is one of the most used books by business analytics professionals. The book takes an in-depth look at major libraries like Numpy, pandas, matplotlib, state model, scikit-learn, and it also helps to learn Python with ease.
Here is a course for you if books are not your way of learning: Introduction to Python
4.
Data recovery is one of the most basic skills that people give up. Many business analytics professionals don't know how to proceed.
Structured query language (SQL) It makes the work easier. Just a couple of lines of code will help you get thousands of rows of data. What's more, this not only provides syntax examples in MySQL, but also in various languages like Oracle, PostgreSQL, etc.
Database management and database concepts are explained in a beginner-friendly way with practical examples. But the name suggests the best feature of the book: one has to dedicate only 10 minutes regularly to become an expert.
Here is a course for you if books are not your way of learning: Structured query language (SQL) for data science
This book teaches you the fundamental knowledge of visualization and how to communicate effectively with data..
The above book provides business analytics professionals with a pragmatic guide on how to present data in an understandable way.. What's more, the book contains
Picture is one of the industry's favorite dashboarding and viewing tools. Popularity is further confirmed by Gartner's Magic Quadrant, where you have acquired a leadership position for a long time. Practical Tableau is a perfect book for beginners to learn and become professionals. What's more, Author Ryan Sleeper is a qualified Tableau consultant and has imparted his rich experience in the easiest way possible.
The book is divided into 5 parts: fundamentals, chart types, tips and tricks, frame and storytelling. Each part has a detailed explanation of the concepts along with practical examples. Handy Tableau answers questions like:
- Why are we creating this graphic?
- How are we going to create this?
- What if you create this visualization?
Here is a course for you if books are not your way of learning: Tableau for beginners
Andriy Burkov's 100-page machine learning book is a recommended book for beginners in data science. This book is one of the best introductions to machine learning I have ever read.. Successfully retain the required amount of mathematical rigor without intimidating newbies. Thought leader like Peter Norvig has also endorsed this book. Every data scientist, beginner or established, you should hold this book in your hands.
The Principle of the Pyramid by Barbara Minto is one of the revealing books. The book is very clear when it comes to explaining communication and structured thinking for people of any career.. This book is used in many universities and also by companies like EY, Delloite, etc. to teach them to communicate effectively.
Even after more than 25 years of publication, people consider him as the
Scoring points is one of the most thought-provoking books. Author Terry Hunt presents a case study explaining how Tesco became one of the UK supermarket giants through the use of customer loyalty marketing. The customer loyalty program was created by analyzing the data in depth to reach a business decision.
It is one of the best reads for any business analysis professional to understand one of the most successful business analysis stories.. It is one of the best case studies highlighting the value and challenges of business analytics.
Final notes
To sum up, in this article, we read about some of the 8 relevant books that will help a business analysis professional hone their skills. Meanwhile, if you want to explore your interests in business analytics, we recommend that you check out this free course:
What's more, in case you are confused between a data scientist and a business analytics professional, I recommend this article-
I hope this article has been fruitful. Comment on your favorite business analysis books.
