Data Scientist, Emphasis on Analytics
Data Analytical scientist deal with math, statistics, understanding the trends, solving the complicated data models etc. A major task in the job is the data mining and analyzing of the data extracted.
The word analytics has come into the foreground in last decade or so. The proliferation of the internet and information technology has made analytics very relevant in the current age. Analytics is a field which combines data, information technology, statistical analysis, quantitative methods and computer-based models into one.
Data Analytical scientist deal with math, statistics, understanding the trends, solving the complicated data models etc. A major task in the job is the data mining and analyzing of the data extracted.
A quantitative analyst/modeler helps in understanding the data models to support the organization in taking the major decisions in the organization. Quantitative analysts generally belong to the financial industry where the analysts need to undertake and manage risky situations and decisions.
Business Analyst or the Data analyst need to build up the visual representations of the data and provide appropriate information to decision makers in the organization. A business analyst works on different tools and techniques to understand complex data models.
A Business Analyst Manager should have the knowledge of technical tools, data analytics foundation methods, data gathering and processing which ensures appropriate analysis of the data models. Good communication skills, leadership qualities, strategic thinking are the major skills required for a Business Analyst Manager or consultant.
A revenue analyst’s primary job is to analyse a company’s finances. Their insights on financial data will help boost revenue growth.
Both Data Science and Business Analytics involve data gathering, modeling and insight gathering. The difference between the two is that Business Analytics is specific to business-related problems like cost, profit, etc. whereas Data Science answers questions like the influence of geography, seasonal factors and customer preferences on the business. In short, Data Science is larger or super set of the two. Data Science combines data with algorithm building and technology to answer a range of questions. Recently Machine Learning and Artificial Intelligence have been doing their rounds and are set to take Data Science to the next level. Business Analytics, on the other hand, is the analysis of company data with statistical concepts to get solutions and insights.
LEARN MOREMasters In Business Analytics Students Can Expect A $60,000 Average Salary After Graduation
Know More START WITH OUR PROGRAMSThere’s a wealth of information available to any business that’s ready to embrace it. Data is probably the most important resource a business can possess. With data, you can drive change with positive outcomes and support your business’s growth.
It’s important for every business decision to be grounded in solid data. Data analytics can provide you with key insights that help you make the best choices to serve your business and customers.