Data Science is an emerging field to work in, as it combines statistical and quantitative skills with real-world. Depending on your background, we are free to select a programming language to your liking. The most popular in the Data Science are R, Python, and SQL. Checkout Full Guide on Data Scientist Here .
- R is a powerful language which is specifically designed for Data Science needs. It excels at a huge variety of statistical, data visualization applications. Most of data scientists are using R to solve statistical problems.
- Python is another language in Data Science and 40 % of data scientists use Python as their major programming language because of its versatility.. It allows to create datasets, and you can also find any type of dataset you need on Google.
- SQL(Structured Query Language) is more powerful as a data processing language as compare to an advanced analytical tool and it can help you to carry out operations like addition, delete and extract operation from a database
What is Data Analytics?
The statistics says that more than 2.5 quintillion bytes of data are being created every single day which is unstructured or semi-structured.
To process the huge amounts of data you need more effective algorithms which is made possible by the Application of Data Analytics. It is the application of structured statistical and mathematical techniques on collected data in order to detect underlying patterns as well as make predictions.
Benefits of Data Analytics
The area of Data Analytics has been embraced by several industries for the outstanding advantages it offers. Data Analytics helps in making smarter decisions in businesses. Data Analytics improves efficiency and also results in cost cuttings.
Pay Scale of Data Analytics
The domain of Data Analytics is found to offer one of the highest-paid job in the country. Recently we have revealed that median CTC for Data Analytics in India stands at Rs. 12 lakh/annum.
Job Positions of Data Analytics
There is a great job opportunity offered in this domain. Industries are seeking data analytics training to fit into the below set of job roles.
- Data Architect
- Applications Architect
- Infrastructure Architect
- Enterprise Architect
- Data Scientist
- Data Analyst
- Data Engineer
By Surendra Kumar
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