How to build an analytics career from a non-IT professional background



Almost every global; business entity have realized the long term implications of analytics. This has paved way for building teams who are to deal with embed analytics to execute business decision making processes based on strategic thinking.

 Individuals skilled in analytics are highly demanded by corporate houses, where are recruited to make the most of insightful data. Read on to find out a few ways in which you can kick start your analytics career in a few months by choosing to pursue data analytics courses in Toronto.

Learn the tools of the trade

Some of the basic tools in analytics that you expected to know to handle are ꟷ SAS, SPSS, R, and SQL. You can start with any tool of your choice or that you can get access to. Don’t be surprised when you come across a tool that you thought did not exist and can be quite fruitful for the success of your organization. Once you have picked up an easily available tool you should start learning its use by practising daily. Mastering just one tool and honing a few of its techniques will provide you with a better chance of getting a job in a very short time.

Learn the tricks

Learning to use at least one or some of the important tools will give you the stability required to set foot on the analytics career path. Next, you must focus on acquiring the tricks of the analytics trade. You can achieve this via two optionsꟷSeek help from a mentor, who is an experienced person or pursue an academic course or professional curriculum on analytics

This allows you to obtain guidance from experts of the analytics sector who will provide you with the secret ingredient required to ace your professional career as a data analyst. These can come very handy when deploying analytics to solve real-time issues.

Look for an opportunity

Initially, when you are looking to switch your career, it is suggested that you find a position to apply in the analytics within the organization you are employed at. It is quite normal to find it difficult to identify where, to begin with. Firstly, try to identify the source of data and analyse if the data has been stored in some data repository to execute certain business process or function. It is because there are chances that it is waiting to be used for further investigation. Give your best to earn the trust of the organization so that they can rely on your predictive power of analytics and harnessing ability.

You can begin by extracting basic insights from available data which is not currently captured in the latest business reports. Move on to create simple metrics out of it that can supply value to the businesses. This is the best way of getting the higher personnel of your organization to be interested in what your work.

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