Data Science In Human Resource Sector - HR Analytics

Data science and machine learning are emerging as new, highly promising approaches to comprehending and analyzing the organizational structures of businesses and their employees. HR data analysis plays a key role in the operational activities of any corporation due to the helpful analytics results regarding how organizations identify, hire, maintain, and retain people. Unlike earlier times when it mostly relied on straightforward surveys and psychological reviews, the HR sector is now entering...

Top 3 Python Based Data Science Projects For Beginners

If you're a beginner in data science, you probably want to build some projects to learn and showcase your acquired data science skills. But, you're stumped as to where to begin.

Read this article to learn how you can get started with beginner-level data science projects.

Most importantly, Learn Exploratory Data Analysis(EDA)

Most future real-world projects, as well as some of the projects outlined in this article, will require you to conduct an EDA...

Introduction To The Life Cycle Of Data Science

The Data Science Lifecycle is focused on the application of machine learning and various analytical methods to extract insights from data to achieve a company goal. The complete procedure includes several activities, such as data cleansing, preparation, modelling, and model evaluation. It is a time-consuming process that could take months to complete

The lifecycle of the data science process:

Business Understanding

The overall cycle revolves around the company's objectives. Considering that the study's ultimate...

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,...

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...

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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