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Top 15+ Data Analytics Projects [With Source Code]

Knowledge Hut

Data Analytics has become increasingly important for businesses across industries in recent years due to advancements in technology that allow for efficient storage and processing of large amounts of data. And data analytics projects are the best way to simulate some of these scenarios and stay on top of the trends.

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Data Analytics in Pharma: How Pfizer, Moderna, and Others Innovate Drug Development

AltexSoft

According to McKinsey’s analysis , the wider adoption of data-driven technologies could increase the business operating performance by 15 to 30 percent of EBIDTA (Earnings Before Interest, Taxes, Depreciation, and Amortization) in just five years. Improvements data analytics promises to bring for pharma. Clinical trials.

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Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

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Top 10+ IoT Research Topics for 2024 [With Source Code]

Knowledge Hut

The data collected from IoT devices can be used to improve decision-making, optimize processes, and enhance customer experiences. Wearable Devices Wearable devices such as smartwatches, fitness trackers, and medical devices are becoming increasingly popular. If you want to know more about IoT, check out online IoT training.

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Top 12 Data Science Case Studies: Across Various Industries

Knowledge Hut

evacuation before cyclone ''Fani'' Entertainment Industry: Netflix u ses data science to personalize the content and improve recommendations. Airbnb focuses on growth by analyzing customer voice using data science. Using data science, they can identify new targets for innovative medications.

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Types of Data Analytics

U-Next

Companies may use Data Analytics to evaluate their data (historic, genuine, unorganized, subjective), find connections, and provide insight that can guide and, in some circumstances, automate choices, bridging knowledge and actions. Data Analytics Illustration. Four Types of Data Analytics.

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Living on the Edge: How to Accelerate Your Business with Real-time Analytics

Cloudera

Consider the potentially catastrophic outcome of two autonomous vehicles on a collision course or taking a beat too long to act on an alert from an implanted medical device. . And that comes down to being able to act on data at the precise time it requires action. Fast-changing Data. Real-time Demands.

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