5 Skills You Need To Become A Data Analyst
https://analyticstraining.com/5-skills-need-know-become-big-data-analyst/
Although a big data analyst does not need to be a master in programming, a big data analyst should be very comfortable with coding. Big data is still changing, and people are still trying to understand it. A lot of customization is needed when dealing with unstructured data. Of all the languages, Java, Python and R are the most essential.
Data warehousing is referred to as a process of collecting, managing, and storing data from different sources. As a data analyst, you would need to have knowledge of relational and non-relational database systems. Some examples of database systems are Myraql, Oracle and DB2, Hbase, HDFS.
Frameworks such as the Apache series, MapReduce and Hadoop can help in Big Data processing. A background in computational frameworks will be a plus as a data analyst.
It is essential and even crucial that a data analyst is aware of what exactly he or she is working on. Data analysts are currently in demand. One of the main reasons for this is it is not very easy or common to find person with a complete or thorough understanding of statistics, business and the technical parts of it (such as programming) and are able to apply their knowledge.
A data analyst helps
companies understand data and use that data to make informed or calculated
decisions.
The article mentions
five skills that anyone would need to become a data analyst. While there are
other skills that would be beneficial, the skills mentioned in this article
include: Programming, Data Warehousing, Computational Framework, Quantitative
Aptitude and Statistics and Business Knoledge.
1) Programming
Although a big data analyst does not need to be a master in programming, a big data analyst should be very comfortable with coding. Big data is still changing, and people are still trying to understand it. A lot of customization is needed when dealing with unstructured data. Of all the languages, Java, Python and R are the most essential.
2) Data
Warehousing
Data warehousing is referred to as a process of collecting, managing, and storing data from different sources. As a data analyst, you would need to have knowledge of relational and non-relational database systems. Some examples of database systems are Myraql, Oracle and DB2, Hbase, HDFS.
3) Computational
Frameworks
Frameworks such as the Apache series, MapReduce and Hadoop can help in Big Data processing. A background in computational frameworks will be a plus as a data analyst.
4) Quantitative
Aptitude and Statistics
Statistics is seen as a building
block for any data analyst, as it deals with probability and distribution,
hypothesis testing and variables which are needed for analyzing data.
5) Business
Knowledge
It is essential and even crucial that a data analyst is aware of what exactly he or she is working on. Data analysts are currently in demand. One of the main reasons for this is it is not very easy or common to find person with a complete or thorough understanding of statistics, business and the technical parts of it (such as programming) and are able to apply their knowledge.
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