Question : Execution Program Practical Connection Assignment Please relate the document with roles and responsibilities. explain how the course is helpful for the mentioned roles and responsibilities

Question : Execution Program Practical Connection Assignment

Please relate the course table of contents with roles and responsibilities. Explain how the course is helpful for the mentioned roles and responsibilities

Roles and Responsibilities:

• Maintain in-depth knowledge of industry best practices, technologies, architectures and emerging technologies as well enforcing best practices for data management, governance and integration.

• Creates test plans, automation test scripts, execute regression testing, load testing and prepare performance metrics.

• Execute tests against written requirements, identify test defects - deviations track to closure.

• Support strategic planning on architecture and build of data ingestion / federation capabilities to

develop highly integrated data model / solutions

• Develop relevant artifacts including business requirements (BRD), use cases, process flow diagrams, target operating models to effectively rationalize business solutions and future work-streams

• Participate in data lake governance and compliance processes to ensure all areas of technology are implementing solutions consistent with the target architecture

• Develops and implement internal communication strategies, plans and tactics that support the business goals and objectives.

• Provides second line of defense risk oversight of the Operational risk program, including application of operational risk policies/standards, procedures, strategies, material risks, risk reporting routines and metrics

• Identifying, assessing and reporting progress on Risk and Control Self Assessments (RCSA), including process mapping, identification and assessment of risk, identification of controls, and assessments of control design and effectiveness, identification of themes.

• Support the design/implementation of advancing and delivering the governance, risk, compliance and oversight program

• Active participation in high-profile information risk management initiatives.

• Enhances the financial understanding of business lines, products and segments to aid reporting,

forecasting and business decision making.

• Identify opportunities for business process improvements and develop solutions to promote the seamless delivery of services.

• Lead/participate in a variety of planned or ad-hoc program initiatives, including project management

• Responsible for identifying, analyzing, assessing financial impacts, and overseeing strategic results-

driven initiatives designed to improve operating efficiency and effectiveness.

Course Description	In this course the students explore key data analysis and management techniques, which applied to massive datasets are the cornerstone that enables real-time decision making in distributed environments, business intelligence in the Web, and scientific discovery at large scale. In particular, students examine the map-reduce parallel computing paradigm and associated technologies such as distributed file systems, no-sql databases, and stream computing engines. This highly interactive course is based on the problem-based learning philosophy. Students are expected to make use of technologies to design highly scalable systems that can process and analyze Big Data for a variety of scientific, social, and environmental challenges.
Course Objectives	Course Objectives/Learner Outcomes: Upon completion of this course, the student will: Identify fundamental concepts of Big Data management, Machine Learning and Deep Learning Become competent in recognizing challenges faced by applications dealing with very large volumes of data as well as in proposing scalable solutions for them. Be able to understand how Big Data impacts business intelligence, scientific discovery, and our day-to-day life.
Learner Outcomes/ Assessments	Learn how to perform research identifying and analyzing datasets via Machine Learning Build critical thinking skills to develop and apply solutions that achieve strategic and tactical IT-business alignment Develop professional skills and expertise to advance knowledge in your chosen field or discipline within information technology Conduct research with professional and ethical integrity Address complex technical questions and challenge established knowledge and practices in the area Identify, comprehend, analyze, evaluate and synthesize research Communicate effectively and employ constructive professional and interpersonal skills Critically evaluate current research and best practices Demonstrate IT leadership skills at the team and enterprise levels following tenets of professional, social, and ethical responsibility Recommend IT strategies that support enterprise mission and objectives
Books and Resources	The following is recommended as a very good reference. An Introduction to Statistical Learning with Applications in R, Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani, http://www-bcf.usc.edu/~gareth/ISL/index.html