The Three Stages of Data Analysis: Raw Data, Information, and Knowledge
Phase #1 Raw Data
Phase #2 Information
Phase #3 Knowledge
Data Virtualization: 3 Steps to Success
Indeed, data analysis is an important technique for many industries and is responsible for boosting revenues. Due to this, data scientists and data analysts are in high demand. If you’re also interested in pursuing a career in this fascinating field, do check out Learnbay, which offers the best data science course in Hyderabad co-developed with IBM.
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Data Science as a Future Career

Data science is an exciting field today. As more companies rely on data-driven decision-making skills, the demand for people who can handle large amounts of data and make sense of it has increased.
According to a McKinsey Global Institute study, there will be a shortfall of approximately 2 lakh data scientists in the United States by 2028.

The shortfall is expected to worsen on a worldwide scale, particularly in consumer areas such as India. According to Glassdoor,...

What Differentiates Data Science from Statistics?
The subjects of statistics and data science overlap significantly, to the point where many definitions of one discipline might just as effectively describe the other. In reality, the two fields diverge in several significant ways. The goal of the mathematically based field of statistics is to gather and analyze numerical data. The broad field of data science, on the other hand, combines scientific methods, techniques, and systems to draw information from data in various formats. Statistics is just one of the methods that data scientists employ. The methods used, the types of issues looked into, and many other aspects vary between the fields.

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4 Best Data Science Projects In Healthcare That Will Get You Hired


Are you looking for data science projects in the healthcare industry as part of your career? No worries. In this post, you'll learn about a few healthcare projects that will help you land a job in a data science career.
Medical Imaging
Medical imaging is the most prominent use of data science in the healthcare sector. Imaging methods include X-rays, MRIs, and CT scans. However, it is challenging for doctors...