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The Top 20 Data Visualization Books That Should Be On Your Bookshelf

Data Pine

Now that you’re sold on the power of data analytics in addition to data-driven BI, it’s time to take your journey a step further by exploring how to effectively communicate vital metrics and insights in a concise, inspiring, and accessible format through the power of visualization. Data visualization: What You Need To Know.

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2019 Data Summer Reading List

Juice Analytics

We’re sure it will make it to the Juice reference library along with his other books. Each chapter tells a great story about how to think about data in the context of real life. This book has gotten a lot of interest in the data visualization community, so hard to ignore it and not make it a focal part of our Summer.

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. of organizations who participated in an executive survey back in 2019 claimed they are going to be investing in big data and AI. Source: Gartner Research). Source: TCS).

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Feeding America: Addressing systemic racism’s impact on food insecurity through data viz

Tableau

In 2019, 35 million people —10.9% Our data has shown, year over year, that people of color in the US are disproportionately likely to face difficulty in accessing adequate and healthy food for their families. . National Food Insecurity Estimates by Race or Ethnicity, 2019. . Why is data disaggregation important?

Banking 101
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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

Data Pine

No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. While we’ve seen traces of this in 2019, it’s in 2020 that computer vision will make a significant mark in both the consumer and business world. Connected Retail.

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How to Run Successful Predictive Analytics Project for your Business

Marutitech

Over or underfitting the predictive analytics solution is a common mistake that any data scientist makes while developing their model. Overfitting your data refers to creating a complicated data model that fits your limited set of data. Neglecting data visualization in data analytics solutions.

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Introduction To The Basic Business Intelligence Concepts

Data Pine

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. quintillion bytes of data produced daily.