Traditional Analytics to Modern Analytics Best Practices

The Traditional Analytics to Modern Analytics Best Practices course provides the understanding needed to adapt traditional approaches to analytics and business intelligence to modern analytics approaches, ranging from traditional database and data warehouse approaches to data lake and evolving data mesh methods.


As a data professional, you know the data world is constantly evolving. As organizations move from traditional methods of analytics such as data mining to more sophisticated approaches involving machine learning, predictive analytics, and emerging data mesh approaches, so too do the skill sets need to evolve as well. Learning traditional analytics concepts and how to move them forward to today’s modern analytics best practices is crucial.


This course provides a comprehensive overview of traditional and modern analytics concepts, terminology, and systems combined with the effective best practices that successful data professionals are using to create state-of-the-art analytic solutions. Training provides a certification of completion.

Relevant Government Agencies

Air Force, Army, Navy & Marine Corps, Intelligence Agencies, DOD & Military, Office of the President (includes OMB), Dept of Agriculture, Dept of Commerce, Dept of Education, Dept of Energy, Dept of Health & Human Services, Dept of Homeland Security, Dept of Housing & Urban Development, Dept of the Interior, Dept of Justice, Dept of Labor, Dept of State, Dept of Transportation, Dept of Treasury, Dept of Veterans Affairs, EPA, GSA, USPS, SSA, NASA, Other Federal Agencies, Legislative Agencies (GAO, GPO, LOC, etc.), Judicial Branch Agencies, State Government, County Government, City Government, Municipal Government, CIA, FEMA, Office of Personnel Management, Coast Guard, National Institutes of Health, FAA, Census Bureau, USAID, National Guard Association, EEOC, Federal Government, State & Local Government, FDA, Foreign Governments/Agencies, NSA, FCC

Event Type

This event has no exhibitor/sponsor opportunities

Fri, Mar 31, 2023, 10:00am - 5:00pm


General Enrollment:  $495.00

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