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How Much Coding is Required for a Data Analyst?

Data analysts often spend a busy day collecting, cleaning, and interpreting datasets to derive meaningful insights. Usually, their job involves various technicalities and is critical as a lot depends on data these days. So, they obviously need an extensive skill set (including technical and soft skills) to do what it takes. The skill set also includes coding. However, how much coding should a data analyst know? It is a common question people looking to pursue a data analyst course in Pune ask. So, let’s answer it in this blog.

What is Data Analytics?

Data analytics involves assessing massive datasets to discover trends, patterns, and insights, enabling organizations to make informed decisions. Accordingly, a data analyst works on structured and unstructured data to derive useful inferences and visualize it to communicate their observations and findings lucidly, yet effectively. Now, where does coding fit into all of this? Let’s explore.

Data Analytics Coding Skills

Coding is a crucial element of a data analyst’s overall skill set. It enables them to manage extensive datasets, manipulate data, clean it, perform complex analysis, and automate various tasks in due course. So yes, learning basic coding is essential to becoming a competent data analyst. Nevertheless, the amount of coding knowledge you must have varies depending on your role and the company and industry’s needs.

Levels of Data Analyst Coding Skills

Coding skills in data analysts are usually classified as basic, intermediate, and advanced. All these levels include learning various tools, platforms, and programming languages. Here’s an overview.

  • Basic

It involves learning SQL (Structured Query Language), an essential aspect of a data analyst’s skill set. As a data analyst, you must know SQL to query databases to retrieve and manipulate data. Additionally, one can include mastering Excel, a tool many data analysts use, in the preliminary coding skills.

  • Intermediate

Next, you have intermediate coding skills. Many data analyst positions demand proficiencies in Python or R, particularly if the job involves statistical modeling, complex data analysis, or dealing with gigantic datasets. Python helps with scripting, data manipulation, and data visualization using various libraries. On the other hand, R is used for its statistical packages and data visualization tools. Additionally, companies expect data analysts to have a working knowledge of tools like Power BI or Tableau.

Must Read Full Blog – Why Data Analytics Courses in Pune Stand Out : An Expert Review

  • Advanced

Advanced coding skills are less common and optional. But if you have them, you may qualify for more remunerative opportunities. Nonetheless, these include scripting or automation to automate repetitive tasks, knowledge of machine learning, and knowing how to implement models with Python or R.

Being a Data Analyst Without Coding

Can you become a data analyst without learning to code? You need basic coding skills (including SQL, Python basic, Python for Analytics (NumPy, Pandas, Matplotlib, and Seaborne) to qualify as a data analyst. However, to grow in your career, you can further master various other aspects of coding and unlock better opportunities. So, you cannot ignore or underestimate the value of coding in your journey to becoming a qualified and competent data analyst.

Final Thoughts!

By now, you must have figured out the significance of learning coding in data analytics. Coding skills can help you work on unstructured datasets, conduct more complex analyses, and automate various tasks. They can unlock the doors to better job opportunities across the world of data analytics. So, even if you don’t learn advanced, you must have basic coding skills in data analytics.

Now, where do you learn all the skills we discussed? It requires enrolling in comprehensive data analytics courses in Pune. And that’s with Ethans – a distinct institute known for producing great data analysts.

Learning at Ethans offers several advantages, including extensive learning, practical exposure, a competent curriculum, and placement assistance. So, we are your career and success partners, helping you embrace the broad horizon of career opportunities in data analysis. Call us at +91 95133 92223 or explore our range of data analytics courses.

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