Big Data Analyst-Big Data is considered as one of the most trending and emerging technologies. With the increase in data, organisations are adopting these technologies to gain better insights from the data. Big Data analysts help organisations to fulfil their needs by curating valuable insights from raw data. In this article, we list down 6 must-have skills in order to become a skilled Big Data analyst.
1| Multi-Programming Skills
The fundamental knowledge of data structures and algorithms is very crucial to learn before you start to learn the other skills and it will help you throughout your journey. To be a good Big Data analyst you must know and understand the statistical languages such as Python and R.
You must learn how to code and be able to write, understand and correct errors in the code which includes a massive amount of data. Besides Python and R, there are other programming languages such as Scala, C++, SQL, Java, etc. which will be benefiting you in your journey.
2| Data Visualization
The easiest way to understand a concept is through visualization. Big data analysts working with a large number of both structured and unstructured data helps an organisation to view the analytics of the data by presenting it visually. At the present scenario, there are various prominent data visualization tools such as Tableau, Data Wrapper, Plotly, etc. It is basically an easy way to convey the results of the large dataset in a simple and understandable manner.
3| Quantitative & Analytical Skills
Quantitative and analytical skills play a major role in Big Data analytics. Knowledge in statistics, as well as mathematics, will guide while curating a large amount of unstructured data. One must have a strong grasp in linear algebra to be ahead while tackling big data problems. Quantitative data analysis methods such as descriptive statistics and inferential statistics help the analysts to summarise the data, generalise results, find patterns, make predictions, etc.
4| Data Handling & Interpreting
Managing and interpreting data is not an easy task. With the help of data interpretation, the analysts can review the data for the purpose of arriving at the inference. Handling the data and making sense out of it indeed consumes a lot of time but it can be said as one of the crucial parts of a project. The data in an organisation is growing exponentially day-by-day and handling those to derive insights need a skilled big data analyst.