A Digital Magazine from IT Department

Shravan Kokkula(2013)

Senior Data Engineer,Charles Schwab,Texas, US

Data science is not a new term in the world of technology today. It has taken over the corporate world in the last few years. The demand for skilled data science professionals has seen an upsurge, as organizations are on the constant lookout for data science professionals to resolve business complexities with efficient data analysis. With many people utilizing the power of data today, we have umpteen resources from where one can learn what’s new in the domain.Master the foundations of data science, statistics, and machine learningAnalyze big data and make data-driven predictions through probabilistic modeling and statistical inference; identify and deploy appropriate modeling and methodologies in order to extract meaningful information for decision making.
Develop and build machine learning algorithms to extract meaningful information from seemingly unstructured data; learn popular unsupervised learning methods, including clustering methodologies and supervised methods such as deep neural networks.Finishing this MicroMasters program will prepare you for job titles such as: Data Scientist, Data Analyst, Business Intelligence Analyst, Systems Analyst, Data Engineer.