Across all lines of business, sharp and timely data insights are needed to keep an organization competitive in this digital era. Big data is a change agent that challenges the ways in which organizational leaders have traditionally made decisions. Used effectively, it provides accurate business models and forecasts to support better decision-making across all facets of an organization. This course provides participants with the data literacy they need to remain efficient, effective, and ahead of the curve. Participants will learn why, where and how to generate business value by deploying analytical methodologies. They will gain the knowledge and skills they need to assemble and manage a large-scale big data analytics project. Lastly, participants will get a conceptual introduction to the sophisticated predictive algorithms that are used in data science.
Participants will be led through a series of hands-on exercises and workshops, where they will have the chance to apply and test the methods and practical approaches that they are learning throughout the course. Students will work to identify areas of their organization that can be improved through big data-driven implementations, and the types of improvements that can be made through these analytical measures. As part of this course, participants will produce an actionable big data plan that can be used as a blueprint for enterprise-wide big data deployments.
This course is designed for high-level technical professionals who want to use enterprise data to achieve better, more efficient business results and/or to make improved decisions through predictive analytics. This includes experienced data professionals, such as database administrators, system administrators, business analysts or business intelligence specialists, as well as less technically-inclined management and administrative professionals. Recommended pre-knowledge includes experience analyzing data in Excel, as well as a basic understanding of correlation and how to use Excel pivot tables. Participants should have prior experience working with data that is stored in traditional relational database systems.
Lillian Pierson, P.E. is a leading expert in the field of Big Data and Data Science who equips working professionals and students with the data skills they need to stay competitive in today\'s data driven economy.
She is the author of three highly referenced technical books by Wiley & Sons Publishers: Data Science for Dummies (2015), Big Data / Hadoop for Dummies (Dell Special Edition, 2015), and Big Data Automation for Dummies (BMC Special Edition, 2016).
Lillian has spent the last decade training and consulting for large technical organizations in the private sector, such as IBM, Dell, and Intel, as well as government organizations, from the U.S. Navy down to the local government level.
As the Founder of Data-Mania LLC, Lillian offers online and face-to-face training courses as well as workshops, and other educational materials in the area of big data, data science, and data analytics.