DATA SCIENCE
- 1. INDIA'S MOST DEMANDING TECHNICAL PROGRAM MASTER IN DATA SCIENCE COURSE .
- 2. DATA SCIENCE • This course is intended for understudies who have no past information on information investigation except for wish to gain these abilities in a brief timeframe. These understudies will figure out how to dissect huge informational collections and recognize designs that will improve any organization's and association dynamic cycle.
- 3. 1.Python Python is one of the most popular data science programming languages that is used by data scientists. This is because of its wide range of uses such as machine learning, deep learning, and artificial intelligence. 2. JavaScript JavaScript is also another popular data science programming language to learn. This is used for web development for its capability of building interactive web pages. 3. Java Write once, run anywhere is also a nickname to Java. It is another popular data science programming language that is being used by the top businesses in order to secure their enterprise development. 4. SQL SQL is the most vital data science programming language that is used to learn to become data scientists. This programming is important to handle structured data .
- 4. 5.C/C++ C is a great data science programming language to learn data science programs because it is one of the earliest programming languages and C/C++ is their codebase. Most of the data scientists do not know C/C++, due to their ability to the codebase. 6. SQL SQL is the most vital data science programming language that is used to learn to become data scientists. This programming is important to handle structured data. 7. MATLAB MATLAB is a powerful tool used for mathematical and statistical computing, which allows the implementation of algorithms and user interface creation. When we talk about UI creation is easy with MATLAB due to its built-in graphics for creating data plots and visualization. 8. Scala Scala is a powerful data science programming language that is the best fit for data science professionals. Scala is most ideal to work with high-volume data sets.
- 5. 9. Julia Julia is another popular language that is in rising demand. It is a multi-purpose programming language that is created for numerical analysis and for scientific computing. 10. SAS SAS is a tool that is used for analyzing statistical data which is used for statistical analysis. The main purpose of the tool is to retrieve, report and analyze statistical data. SAS probably can create many opportunities in the coming days.