No Coding? No Problem! How You Can Become a Data Analyst Without a Tech Background

Increased businesses' reliance on data analytics for making decisions has led to surge in demand of Data Analytics course with placement in India. Yet, lots of aspiring professionals hold back from entering the field with the reasoning that coding is a required skill. The nice thing is that you don’t have to be a programmer to be a data analyst.

So with the proper approach, tools, and industry knowledge even non technical professionals can transition into data analytics. In this article, we look at how you can jump into this field, without a tech background, the best tools for you to learn and how structured courses with placement support can help you grow your career.

Before jumping into the field you should know what a data analyst is responsible for. Whereas data scientists build the machine learning models, data analysts can extract, process and interpret data to reveal meaningful insights you can act on.

Key task of a data analyst is to establish raw data and clean it, analyze trends and create reports using the visual tools. They facilitate companies with making data driven decisions by working closely with various departments like marketing, finance and operations. While most advanced roles will have programming involved, there are a number of entry level roles and business focused roles that are built off of tools that don’t require anything being written in code.

There are many tools that enable the non technical person to do analysis efficiently.

One of the most widely used tool for data analytics is Microsoft Excel. It has a lot of stuff like PivotTables, VLOOKUP and even Power Query so you can manage and analyse huge datasets. Most professionals who want to achieve data analytics begin in Excel then graduate to other tools.

Another important tool of analytics is SQL (Structured Query Language). For example, the SQL language is not Python or R but contains a structure which allows it to manage a particular database. Businesses widely use it to track specific data and carry out analysis without needing to understand extensive programming. SQL is one of the most in demand skills in the industry and therefore many of the data analytics courses with placement include it in their curriculum.

The two data visualization powerhouses are: Tableau and Power BI where analysts can create interactive dashboards and reports. They are non programming based drag and drop interface tools. Better yet, a lot of businesses like to hire analytics that could present data insights as opposed to analytics that can code.

In particular, professionals working in marketing and business can make great use of Google Analytics and Marketing Analytics Tools.

It is a mistake on the part of many professionals to think data analytics is exclusive to IT graduates. It offers an opportunity for individuals from diverse backgrounds successfully making a transition.

Analytics can be used by commerce and finance graduates to evaluate business trends, and assess financial performance. With analytics, marketing and sales professionals can measure campaign success and what customers behave like. Analytics can be applied even to healthcare and biotech professionals, to read patient data and optimize hospital operations.

The trick is to find out how data analytics courses with placement can help close the skill gap and ease the transition.

If you want to build a career in data analytics the right way, you’ll need to follow a structured learning path.

The first is developing an analytical mindset. In reality, it means understanding what data analytics enables businesses to make decisions based on. Reading case studies, examining analytics blogs, and looking into an Indian company that hires data analysts can be quite informative.

Then, there’s a need for learning important tools. Building data handling skills, Excel and SQL are good for beginners. More can be done to not only increase their expertise in and understanding of the techniques, but also to be able to present insights effectively with visualization tools, including Tableau and Power BI. There are numerous data related structured courses in online learning, which offer placement too, to give you practical, on-job knowledge to these tools.

The next step is working on real world projects. In the case of many companies, hands on experience is valuable, so try to get hands on experience practicing on these real datasets from platforms like Kaggle or Data.gov.in. Building a strong portfolio can be achieved by participating in open source projects, contributing to projects and participating in online hackathons.

Last but certainly not least, you have to apply for internships and also entry roles. There are many companies that provide internships for people aspiring to become an analyst. Being a Business Analyst, Reporting Analyst, or Marketing Analyst can certainly be stepping stones towards entering the field. You can also enrol into a structured data analytics course with placement for job referrals and career support.

Data analytics field is not a programmers job, it is a job for those people who can analyze and read the data to intelligently take decisions in business sector. In today's world, companies are after professionals who can derive meaningful tips from data, even if they do not possess expert coding skills.

However, with the right tools, structurally prepared learning programs, and placement support, non technically trained professionals can make a smooth transition to become data analytics. This is a field with lots of opportunities, and if you approach this in the right way, you don't even necessarily need to code and can build yourself a very rewarding career in data analytics.