From physics to healthcare, data analytics can be applied to novel outcomes across diverse industries. However, the most exciting domain of Data analytics applications remains safely bolted with Business Administration and Business Intelligence teams. Marketing, Sales, Revenue Generation, Product, and Software design, HR and People Management, Finance and Accounts teams are the biggest beneficiaries of this credible data science specialization. With an improvement in Data Visualization and Automation techniques, more and more MBA graduates and postgrads are enrolling with data analytics courses.
If you are an MBA fresher, selecting data analytics courses can prove to be a daunting task. Here are some tips from our experts.
What did you do Before an MBA?
An MBA fresher is susceptible to fall into the big trap of technology buzzwords and jargon. Currently, the jargons such as Big Data Analytics, Deep Learning, Adtech, and Virtualization are seen as the biggest industries for the data analysts, churning billions of dollars in revenue, and providing millions of jobs to the engineering professionals.
Before picking a data analytics course, brush up your knowledge from the pre-MBA graduation days. It often serves well in the initial days of Analytics course, especially when you have to deal with Python coding for Mathematical models.
Pick an Industry you Love
Most professionals, or for that very reason, even experts, believe the data analytics to be an industry. However, it’s not. Data analytics is purely a function of the business domain you are work in, relevant to the industry groups you are catering to. What someone does within the Healthcare industry would remain strictly garden-walled for that industry alone. Similarly, for finance and marketing roles, business analytics would remain specific to these functions only. No cross over functional applications is visible, at least not directly.
MBA professionals might find this a little hard to digest– but if you are into data analytics, you would have to learn to code — or at least learn to manage a team of analysts. Learning the art of coding is visibly the most exciting experience MBA professionals undertake during their Data analytics courses as it helps them get introduced to the world of Python, R, Tableau, SQL, Salesforce, Oracle, SAP, and so on.
Choosing a data science course would entail enrolling in workshops and industry projects. Longer the project, better are your chances of getting an MBA-focused data analytics courses where you can work on the best of Data Science projects such as in Marketing Intelligence, Sales research, Data Automation and Governance, Corporate Planning and Business strategy goals.
A combination of managerial, technical, and analytical skills would guide your career into flourishing futures.