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Data Science in Pharmaceutical Industry [Use Cases + Examples]

Knowledge Hut

The pharmaceutical industry is one of the most innovative and competitive industries in the world. The pharmaceutical industry according to report has made a jump from $40 billion in 2021 to an expected $130 billion in 2030, with projections hitting $450 billion by 2047. which help improve decision-making processes.

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Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms

DataKitchen

He drew from his twenty-five years of experience in business analytics, pharmaceutical brand launch strategy, and project management. He also highlighted the importance of agility and adaptability in data analytics. Iterating and quickly addressing customer questions or concerns improves outputs and conversations.

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Data Science in Healthcare: Applications, Roles and Benefits

Knowledge Hut

Application and Use Cases of Data Science in Healthcare The healthcare industry is revolutionizing by applying advanced-level machine learning and data analytics. Various wearable and home devices as a part of an IoT network use real-time analytics to predict if a patient will face any problem based on their present condition.

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Top 11 Programming Languages for Data Scientists in 2023

Edureka

Programming Languages for Data Scientists Here are the top 11 programming languages for data scientists, listed in no particular order: 1. Due to its strong data analysis and manipulation skills, it has significantly increased its prominence in the field of data science. Embark on Your Data Science Journey Today!

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Data Science vs Artificial Intelligence [Top 10 Differences]

Knowledge Hut

Experts have also suggested that, by the year 2030, AI and Data Science will see a 31.4 The field of Artificial Intelligence has seen a massive increase in its applications over the past decade, bringing about a huge impact in many fields such as Pharmaceutical, Retail, Telecommunication, energy, etc. SQL for data migration 2.

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What is ThoughtSpot? Everything You Need to Know

phData: Data Engineering

Leveraging on ThoughtSpot’s built-in usage-based ranking ML algorithm, SpotIQ improves with each use, making data analysis more intuitive and proactive for users. Full Stack Service ThoughtSpot Mode gives data teams everything they need to go from the back end to the front end. Why Use ThoughtSpot?

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Business Analyst Demand in 2024: Why Is It So High?

Knowledge Hut

In today's business world, it's crucial for companies to use data analysis, especially a method called scope modeling business analysis, to improve their operations. As businesses rely more on data, they need experts who can make sense of all this information.