Across all lines of business, sharp and timely data insights are
required 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 deploy technologies and methodologies, from big
data and Hadoop, to data analytics and data science. During the course,
all participants will be given access to proprietary online resources
for viewing and downloading, including multiple coding
Participants will be led through a series of hands-on exercises, where they will have the chance to apply and test the methodologies and practical approaches that they are learning throughout the course. As part of this course, participants will produce an actionable big data plan that can be used for enterprise-wide big data deployments.
This course is designed for working professionals who seek 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 pivot tables in Excel. Participants should
have prior experience working with data that is stored in traditional
relational database systems. Some experience with a programming
language would be useful as well.
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.