3 Areas of Business Analytics to Consider for Your Career in Data Science

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In the world of business, big data has become one of the most valuable assets that is available to business owners and entrepreneurs. This is information that can be obtained through the collecting, interpreting, and analyzing of data accumulated from clients, customers, and consumers. With such information, business owners can predict consumer trends and provide an overall more profitable customer experience.

However, the job of accumulating and transforming big data into useful information belongs to those who work in data science. Since there are so many facets to interpreting and using big data, it only stands to reason that there are a great many job opportunities available to those who wish to take on one of the various aspects of working with big data. One niche of big data that presents some excellent job opportunities to qualified data science professionals is that of business analytics.

If you are looking to have a career in business analytics, here are three different career options for you to consider.

1. Data Aggregation

A career in data aggregation would place you at the forefront of the interpretation and utilization of big data. Those who work in data aggregation are charged with amassing data from transactional records and volunteered data. Such data must be cleaned up via the removal of duplicate or corrupted information so that it can be properly analyzed.

Working in data aggregation, as one might imagine, involves working with some complex systems. If you wish to pursue this career path, a master’s degree in data science is advisable. Such a degree will present you with the greatest opportunities for career progression as well. You can earn your Business Analytics Degree online to qualify you for such a career.

2. Data Mining

One of the most in-demand jobs that exist in big data and business analytics specifically is that of data mining. This is because the applications of data mining are as vast as the work itself is complex. It involves using big data to predict trends and potential outcomes. Such information can be used to design and build machine learning systems and models. Such systems can be used across a variety of industries, including marketing, finance, and healthcare.

This is another data science specialty for which you will most likely need to possess an advanced degree. You will need to be well versed in working with algorithms and certain areas of advanced mathematics.

3. Forecasting

Forecasting is the area of business analytics that helps businesses understand when certain types of sales will increase or spike. For instance, it is common knowledge that retail sales spike around the holidays. However, forecasting allows businesses to understand precisely what days the spike will occur and with what products. This is valuable information for a variety of reasons.

There are, naturally, different approaches that can be taken to forecasting. You will need to understand the particular business sector that you are working with to choose the correct ones, so a working knowledge of the business world is advisable.

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