Data Analytics 101 – R Fundamentals is the first course in Omnikron’s Big Data Certification Pathway. It offers a hands-on look into the workings of the open-source language R, including how to use R to perform statistical computing and create visual graphics. Data Analytics 101 lays the groundwork for the next data science classes to come.
- Become familiar with R data structures including
- Data Frames
- Explore data wrangling and graphical techniques
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
There are no formal prerequisites for this course, but it is recommended that students take Big Data Fundamentals or its equivalent prior to this class
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.
“Ready for the next in the series! Love that Omnikron offers all these Data classes!”
“Reagan gave us a great introduction to R. So glad I spent the time to take this course, my work performance will definitely be enhanced.”
“My company is trying to get as many of us as possible up to speed with Big Data. These courses are right on target, and I am looking ahead to the next two R courses.”
OMNIKRON CERTIFIED INNOVATION ARCHITECT
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.