The emergence of data science
Data science is a technical method of extracting information from big data and raw data to use it to enhance decision making. The speed of creation of big data around us is so immune, basic manual analysis and typical software can't handle it, which increases the importance of its implementation in each area.
The development trend of data science
- algorithm: from
An algorithm is a well-defined computational process that takes some data as input and processes it to produce the desired output. It is a way to process data and help programmers design programs to perform various functions. - artificial intelligence: from
It has revolutionized the way we understand and manipulate data. Artificial intelligence is the most important trend in all other applications, and it focuses on building machines that work and think like humans. - Forecast analysis: from
It's easier to predict a specific exit with Google Analytics. Using its technology can help assess future trends in the HR industry. It can be used to predict the creativity, employee behavior, success indicators, etc. of a particular candidate based on the data present in the database.
Using data science, thousands of resumes can be studied in a short period of time, while machine learning algorithms can improve the accuracy of choices. It helps the company find the most suitable employees among thousands of applicants and can ensure fairness because computers are not biased towards prejudice.
By applying its technology, companies can maintain a better employee record. Participate in and evaluate their performance. They can predict employee behavior and calculate their lifetime value. Human resources is an area of constant change and it has become the key to designing robust methods for dealing with changing environments.
It turns out that it is effective in the decision-making process. It enables HR managers to analyze real-time information and understand what is happening within the organization's framework. It prioritizes tasks based on their importance and provides evidence-based solutions for human resources planning and industry strategy.
Further scope of human resources
Human resources is actually a new field that is open to data science, but as technology advances and the influx of large amounts of data within organizations, it becomes critical to apply its technology to management. It has proven to be the best solution for superior decision making and a better understanding of the external and internal environment.
How do you become a human resources data scientist?
The industry needs skilled data scientists who are creative, have good communication skills, and are proficient in data science algorithms and computational tools. Data science research includes ML algorithms for comprehensive understanding of statistics, classification and regression tasks, programming languages such as Python, R, SQL, SAS, Hadoop, Minitab and other data modeling software. The course provides all the concepts of detailed training in data science and provides students with multiple opportunities to participate in real-time projects to get a real-life experience. After the training, they will assist in finding the work of data scientists in leading commercial companies.
Orignal From: The main reason for the human resources industry to turn to data science
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