Data Analytics 102 – R Statistical Analytics

Big Data Analytics 102

Course Description:

Data Analytics 102 – R Statistical Analytics is the second of our data science courses to offer earned certification. This course teaches students how to use R to perform numerous statistical tasks without the mathematical details associated with an actual Statistics Class. Specific topics will include exploratory analysis, statistical testing, and linear regression.

Learning Objectives:

  • Descriptive and exploratory analytics
  • Statistical testing and analysis of variance
  • Least squares regression analysis

Who This Course is For:

  • Executives & Leaders
  • Project Managers, Project Leaders, PMO Directors
  • Change Managers, Business Analysts
  • Network Engineers & Administrators
  • Business Intelligence & Data Warehousing Professionals
  • Aspiring Data Scientists and Data Managers
  • Data Analysts, Programmers, and Architects


Data Analytics 101 – R Fundamentals


Reagan Zogby is Omnikron’s Chief Data Scientist. He has over 40 years experience enabling financial, management, and aerospace corporations to convert $20M into sustainable, competitive business advantages. His roles have included business solutions manager, program manager, project manager, systems engineer, and software developer. He is especially skilled at establishing and motivating focused teams. He is a Certified Project Management Professional.


“Great follow-up course, I am looking forward to 103.”

“Another excellent course from Omnikron, hoping to sign up for the next in the series.”

“Reagan is one of the best instructors I’ve come across … he is funny, extremely knowledgeable and gives students the opportunities to ask questions and makes sure they get the material before moving on.”


This certification is proudly awarded to students who successfully complete the INNOVATE coursework in Omnikron’s Leadership Elevation Framework. [The Leadership Elevation Framework is a trademarked Omnikron methodology.] Successful and lasting innovation requires the skills built through the CALIBRATION, NEGOTIATION, and COLLABORATION phases of the Leadership Elevation Framework. Fittingly, the INNOVATE level builds on these skills by focusing on best practices and the design, implementation and management of cutting edge technology from specialized domains including Big Data, Data Science, ITIL, Cyber Security, SDN / NFV, Cloud, Virtualization and Enterprise Architecture.