Everybody is talking about Data Analytics skills.
Thanks to the digital revolution, analytics is sweeping across industries in a huge way. Mastering certain data analytics skills can enable you to chart a successful career in this lucrative and rapidly changing domain. Deriving insights from large volumes of data to enable better decision-making and an even better customer experience has become the norm for competitive firms these days. Which is why having a data analytics skills in this world pays off well.
There are over 50,000 job openings in the field and the domain is only evolving by the day. But how do you decide if you would be a good fit? What are the skill sets you need to be able to successfully transition into a data profession?
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Here are the top 4 data analytics skills you will need:
Solid Domain Understanding
Data Analytics skills help in problem-solving. They need to understand the variables in a business, the levers that they can potentially move to bring about a significant positive change, the external and internal factors that affect its growth, and model all necessary decisions accordingly. Business understanding is a must-have and one of the most critical skills if you aspire to become a data analyst.
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Mathematics & Statistics
Objective decision-making forms a very important part of how you arrive at the solution of any given decision. To be able to take decisions objectively you must rely on Mathematics and Statistics. You need to find patterns, segment, make predictions based on historical information. You will need to use prediction algorithms, classification, and clustering algorithms to arrive at the best possible solution, and that is where Mathematics and Statistics will come to the rescue.
Technical Skills
You can identify and solve a problem using domain understanding and mathematical skills. But most businesses are not so simple. You will need to go through data sets that are way beyond your calculative abilities, and in order to be able to replicate your algorithms and business solutions at scale, it is very important that you pick up tools such as R, Python, SQL etc.
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Soft Skills
Last, but not the least of data analytics skills, you should be able to communicate your solution in the most simple and understandable format to the stakeholders. They might not know anything about KS Statistics, or root mean square error or your clustering algorithm but that is where your soft skills come in. Impactful communication, use of great visualisation and visualisation tools like Tableau, QlikView, ggplot, etc., become really important.
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Irrespective of your background, you can potentially transition to the field of data analysis. If you’re an IT professional or you hold a Ph.D. in statistics, you just need to hone a couple of skills and you’ll be ready to rule the world with Data Analytics skills!
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