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How To Become A Data Analyst

data analysis

As more and more professionals today keep searching for means and ways to become a data analyst, it’s only natural to think “How To Become A Data Analyst?”. It’s hard to ignore the recent recommendations by Harvard Business Review, LinkedIn, and Gartner claiming that a career in data analysis is the best move indeed to stay relevant in the future.

  1. Pursue A Higher Education

A minority of hiring managers prefer candidates with a Bachelor’s degree in engineering and technical fields. However, having just a basic graduation degree will open up usually entry-level jobs unless or until you have several years of experience to supplement. To scale up the career ladder, a master’s degree in computer science, IT, statistics, economics, and data analytics can greatly aid in career enhancement.

Related: 4 Types of Data analytics to improve decision making 

  1. Add More Skills To Your CV

Despite the availability of plenty of job opportunities for data analysts, there is a huge dearth of skilled professionals in the field. Whenever the resume of a potential candidate flaunts plenty of upskilling journeys, the chances that he/she will get hired are quite high. Simply because it’s a clear indication of the candidate’s motivation and passion. Which organization wouldn’t want to have a self-motivated and passionate professional in their workforce?

You could enroll for Indepth Research Institute’s Data Analytics Certification Course as it trains you in necessary skills. To be eligible for the best roles in the data analysis domain, you need to be trained in statistics, R programming language, data warehousing, SQL databases, XML, Javascript, data mining, and visualization.

 

 

 

  1. Foster Your Soft Skills

Your hard skills can be quantified but that’s not the case with your soft skills. These include the skills that come in handy while interacting with people (colleagues, clients, and higher-ups) in your professional life. Having excellent soft skills will set you apart from an average data scientist. Moreover, they come in handy during unforeseen circumstances at work. The must-have soft skills that are essential for any successful data analyst or professional include body language, communication, social skills, negotiation skills, and conflict, stress, and time management.

  1. Stay Updated About The Latest Trends In Data Analysis

In a dynamic field like data analysis, there’s some innovation or the other happening every minute. Although it’s hard to keep track of all the latest developments in the field, you should be aware of the most important ones at least. This will enhance both your knowledge as well as help you stay abreast of what’s happening in the industry.

I hope you got a clear idea on the important query, ‘how to become a data analyst’. The 4 steps above will help any data analytics aspirant to look forward to fulfilling their dream career of becoming a data analyst.

Happy Learning!

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