Is Coding Required for Data Analytics?

Pursuing a career in data analytics will take you through a series of advanced progressions that will help you generate valuable information for better and more informed decision-making within an organization. When you take up the data analyst job, you come across the role of cleaning, managing, manipulating, and analyzing the data with the help of certain tools and techniques. The job of a data analyst revolves around accessing massive amounts of unstructured data that, once cleared and sorted, gives valuable information in return.

Many aspirants who want to enter the world of data analytics want to know the importance of coding in it.

Is coding necessary for data analytics?

Yes, coding is necessary for data analytics, but it does not ask for those advanced programming skills. However, to work endlessly in data analytics, you need to master languages such as Python or R and should have gained enough knowledge of SQL. Learning these languages is easy for the learners, and the more they practice these, the more they get used to them.

How much coding is required to learn for data analytics?

The amount of coding required for data analytics depends upon the role and technologies being used within a company. Most companies rely on using essential coding languages such as R, Python, and SQL and BI tools to perform scalable analysis. There are also some companies that use fewer coding features and focus on other tools such as Excel, Tableau, Power BI, and drag-and-drop interface tools.

However, strong coding skills will never go in vain. If aspirants go beyond the basics of Python or R, they will not lose anything. Instead, they lose the chance to get hired faster and be paid higher salaries. Companies always prefer such employees, who can manage coding for analysis, build the pipelines, collect the data, and automate the process. When businesses want to automate the data processes to ensure scalability, they need someone who is well versed in Python skills.

When one needs to accelerate their career growth, it’s always advisable to master at least one visualization tool such as Tableau, Power BI, and Google Data Studio apart from the basic coding skills.

Can you begin your career in data analytics without coding?

Of course, you can begin by simply learning the fundamentals of SQL, R, and Python. There is no need for extensive coding training, but simply knowing the basics will help you a lot. If you are genuinely interested in data analytics, you can learn how to construct visualizations in Tableau and learn about scripting as well. Apart from learning to code, if you have any previous experience with data mining, data visualization, or data management applications, then you can also start your career in data analytics.

Many companies’ priorities learning coding before getting into data analytics career. However, I just prefer the candidates to have an initial programming language. Also, many companies take coding tests to select employees.



Now that you are aware of the relevance of coding in data analytics, you should step ahead keeping in mind your ultimate career goal.


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