Hello guys, welcome back to my blog. In this article, I will discuss data science work in daily life, what data science engineers do step by step I will explain everything what they really do.
If you need an article on some other topics then click on ask question and add a new question. You can also catch me @ Instagram – Chetan Shidling.
Also, read:
- What Is Object Oriented Programming, Features Of OPPs.
- Roadmap To Become Machine Learning And Artificial Intelligence Engineer.
- File Operation In C Programming With Explanation And Code.
Data Science Work
Almost all companies need data science engineers to analyze their customers, sales, and service. If the data is small then we can analyze data in an excel sheet, but if the data is more then the company needs data science engineers to analyze data or customers.
Well, first I will discuss the skills required to become a data science engineer. The skills required are you must be strong in mathematics topics like probability, statistics, combinations, algebra, etc and you should be strong in a programming language like python and R. At present python language is used for data science. Apart from this you should be good at machine learning and AI to generate customer data.
Now I will discuss what is data science work in daily life. If we take the example of a data science engineer working at OYO rooms his/her work is to generate data of customers and give it to the managers. In OYO rooms data science engineers will print a report of customers booking their room from different regions like how many people booked rooms from Karnataka or Andhra.
He will print reports of customers’ data in graph format or other charts. Data science engineers must know how to extract data from excel sheets and databases. Now, I will discuss step by step in short.
01. By applying machine learning algorithms he will collect data of customers from various regions.
02. The data of customers from different places will be stored in the database or in an excel sheet based on customers.
03. Then by applying data science technics, he will extract the accurate data from the database or sheets.
04. If the manager wants data of customers in Karnataka, then the data science engineer will print the customer data of Karnataka and give it to a manager.
05. Further, the manager and other senior members in companies will analyze the data and try the improve their service.
Well, guys, this is data science work in daily life. I hope this article may help you all a lot. Thank you for reading.
Also, read:
- How To Manage Projects? Iterative, Agile, Waterfall, Spiral Model, RAD Model
- Cybersecurity Trends And Challenges In The Digital Age
- Natural Language Processing (NLP) In Computer Science
- Data Science In Action: Real-World Applications
- Software Testing Strategies: Ensuring Quality In Development
- The Evolution of Programming Languages
- Mobile App Development Trends In 2024
- Trends In Frontend Development: Frameworks And Libraries
- Continuous Integration And Continuous Deployment (CI/CD) Pipelines
- Difference Between DBMS And Blockchain Technology
About The Author
