![]() ![]() Configure data visualizations for stakeholders* Provide data analysis and standard reporting support, which includes the ability to extract data from various sources and data stores by executing light business coding (SQL, VBA, Unix, etc.) and system parameter setting, perform ad-hoc queries and develop/automate financial/statistical models using a variety of known software applications and tools (Excel, Access, etc.)* Support the use of data science and machine learning within the various PSE engineering DevOps teams.* Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques* Translates business requirements throughout the development process, delivers solutions in accordance with business strategies, standards, and processes.* Develop business cases for R&D initiatives, provides expert advice to product managers, developers, architects and business partners on data science use cases and options.* Architect highly scalable distributed systems, using different open source tools.* Working with lambda architectures and batch and real-time data streams.* Understand high performance algorithms and Python statistical software and brief team. ![]() You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages. This course teaches you about the popular tools in Data Science and how to use them.
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