Data Analytics, Data Visualization & Communicating Data: 3 books in 1: Learn the Processes of Data Analytics and Data Science, Create Engaging Data ... Present Data Effectively
Harvard Business Review called data science “the sexiest job of the 21st century,” so it's no surprise that the number of data science jobs has grown 20x in the last three years. With demand outpacing supply, companies are willing to pay top dollar for talented data professionals. However…To truly excel, it's not enough to throw some data from a database into a spreadsheet—you must transform it into actionable insights that drive meaningful decisions.
This is the skill employers want to see...
That leads us to data analytics and visualization. The ability to examine raw data sets, draw meaningful conclusions and trends, and effectively present those findings to the decision-maker.
This series of three books is designed to equip you with the skills to do exactly Book 1: Everything Data A Beginner’s Guide to Data Literacy, focusing on the entire process from data collection to generating insights.
Book 2: Beginners Guide to Data Comprehensive guide on designing and optimizing over 40 different types of charts.
Book 3: How To Win With Your Data A proven 5-part guide showing you exactly how to present your data in the most effective way.
So, basically, everything you will need to excel in the world of data...
This three-book series covers an extensive amount of information, such asOverview of the Data collection, management, and storage processesFundamentals of cleaning dataAn in-depth view of over 40+ charts and when to use themEssential machine learning algorithms required for analysis such as regression, clustering, classification, and more…The fundamentals of data visualizationA comprehensive data visualization design guideWalkthrough on how to present data effectively
And so much more…
Whether you are entirely new to the wonderful world of data or transitioning from your current role, this book will build your data literacy foundation and set you up for success in one of the most sought-after careers of the decade.
For less than your Friday lunch, you can 10x your data literacy and finally break that 6-figure mark in your career. You're closer than you think…Read this three-book series and be one step closer.
Data visualization is a series of processes of displaying data or information in a form that is not difficult to understand, such as pictures, graphs, numbers, charts and so on. Data visualization is able to simplify the collection of all data to be presented.
The use of visual elements in this method greatly facilitates readers in seeing and understanding patterns, outliers, and trends from a data. This method will also enable decision makers to make the right decisions by looking at data analysis in visual form.
However, the application of the use of data visualization must also be accompanied by a clear understanding of the reasons why this is so important, what are the types, and what tools are used.
Data visualization is important in the scope of the company which aims to assist decision making in a timely and accurate manner. Because, through data visualization we will be invited to understand something visually and interestingly. So understanding about something will also be much easier to do.
The reason is, many people find it difficult when they are required to understand an analysis result by simply reading it in writing. Why can this happen? This happens because basically the way our brain works is much faster in responding to data visually such as images, graphs, charts, and so on.
An effective visualization must be able to explain the data presented well and arouse the curiosity of the reader. Chart settings not only explain the underlying data, but also allow the reader to isolate problematic areas (eg sub-optimal product sales) for further analysis. A data analyst also needs tools to support daily activities, one of which is data visualization. In short, data visualization or data visualization is the process of changing data so that it is simpler to display. The form of data is usually in an attractive graphic or visual. Data visualization helps you in your presentation, so that it's easier for your audience to understand what you mean.
The answer behind the question of why data visualization is so important is because it will be very difficult for us to search and collect large amounts of information at the same time. Even more so if the information is still in raw or written form.
So, therefore we need data that is displayed visually to make it easier to understand the data in a short time. Understanding the data that has been obtained does not take much time and of course this is accurate which will make it easier for the reader to make decisions.
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