6 Essential Skills to Become a Qualified Big Data Analyst

Big Data is considered one of the most trending and emerging technologies. With the increase in data, organizations are adopting these technologies to better understand data. Big Data Analysts help organizations meet their needs by extracting valuable information from raw data. In this article, we list 6 essential skills to become a skilled big data analyst.

1 | Multi-programming skills

Fundamental knowledge of data structures and algorithms is very crucial to learn before you start to acquire the other skills and will help you along your way. To be a good big data analyst, you need to know and understand statistical languages ​​such as Python and R.

You must learn to code and be able to write, understand, and correct errors in code that includes a massive amount of data. Besides Python and R, there are other programming languages ​​like Scala, C ++, SQL, Java, etc. that will be useful to you on your journey.

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2 | Data visualization

The easiest way to understand a concept is through visualization. Big data analysts working with large amounts of structured and unstructured data help an organization visualize data analysis by presenting it visually. In the current scenario, there are various important data visualization tools like Tableau, Data Wrapper, Plotly, etc. It is essentially an easy way to convey the results of a large data set in a simple and understandable way.

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3 | Quantitative and analytical skills

Quantitative and analytical skills play a major role in big data analysis. Knowledge of statistics, as well as mathematics, will guide while maintaining a large amount of unstructured data. It takes a solid understanding of linear algebra to be ahead of the curve while tackling big data issues. Quantitative data analysis methods such as descriptive statistics and inferential statistics help analysts to summarize data, generalize results, find patterns, make predictions, etc.

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4 | Data processing and interpretation

Managing and interpreting data is no easy task. With the help of data interpretation, analysts can examine the data for the purpose of arriving at inference. Processing the data and making sense of it is indeed time consuming, but it can be seen as one of the crucial parts of a project. An organization’s data is growing exponentially day by day, and processing it to gain insight requires a skilled big data analyst.

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5 | Knowledge of several technologies and frameworks

We have already mentioned that understanding multi-programming languages ​​is one of the essential elements to be a good big data analyst. On top of that, there are a range of technologies that a skilled big data analyst should be familiar with. Frameworks such as Apache Hadoop, Apache Spark, etc. help spread more big data. Apache Hadoop components such as HIVE, MapReduce, HDFS, Pig are very demanding nowadays. It is crucial that Big Data analysts become familiar with these technologies and frameworks for better decision making.

6 | Business and problem-solving skills

A good Big Data analyst should have adequate knowledge of business processes as well as statistical and technical knowledge. He must be able to understand the business aspects and objectives of an organization before obtaining information and models from a large amount of data.

Final result

Learning these skills will easily help you create a perfect resume while applying for big data analyst positions, but you can’t be successful for an organization unless you get your hands dirty with these skills. “Practice makes a perfect man,” so the more you practice with these skills, the more knowledge you gain in this area. some links of careers in this area have mentioned below.

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Sean N. Ayres