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1 Big data analytics entails the use and study of broad data sets in order to assist businesses in making better use of knowledge about customer trends and industry dynamics. The term “big data” refers to data sets that are so large and diverse that traditional data processing applications cannot handle them.
2 Java is a programming language used by programmers for a wide range of tasks. Java is one of the most basic and widely used programming languages, and it is required knowledge for anybody working in the field of computer science, including data scientists.
3 Machine Learning: Machine learning researchers look at the models, algorithms, and mathematics that machines use to enhance their results. Data science encompasses machine-learning algorithms that make use of data.
4 Hadoop: Hadoop is a set of open-source computing applications used by data scientists to work with large amounts of data. It was created by the Apache Software Foundation. Data scientists who know how to use the Hadoop suite of software also stand out from the crowd.
5 Python is a 1991 general-purpose programming language. Python is considered by many programmers to be fundamental information for every computer science professional. Python comes with interpreters that allow it to run on a number of operating systems.
6 Data Mining/Data Warehouse: Data mining is the practise of searching for previously unrecognised trends or observations within a vast collection of data. A data warehouse is a computer facility designed primarily to analyse data. Data scientists should be able to mine data as well as create data warehouses.
7 SAS is a software suite designed exclusively for data collection and interpretation in order to gain market insights. The ability to use and learn SAS is one of the most important fundamental skills for data scientists, as it allows them to bring value to their employers by solving real-world problems.
8 SQL stands for Structured Query Language, and it is a programming language for database administration. Both aspiring data scientists should stay up to date with the new SQL developments and advancements.
9 R is a programming language that specialises in statistics and graphics. R is considered fundamental expertise by many computer scientists. R is particularly important to data scientists because of its role in statistics.
These are all you need to become a data scientist bye everyone!