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Course Length: 2 Days
Prerequisites: Introduction to Data Analytics 1


Course Description

This course continues where the part 1 leaves off to teach participants how to understand, account for and present conclusions on important topics, such as variability, populations & samples, and more complex time-based analysis. These topics give the participant simple yet powerful techniques to gain deep insight on the behavior of data that cannot be gained through simpler graphical and analytical methods. The course uses hands-on class exercises, practical analytical techniques, 1:1 attention, decision trees, and job aides to develop skills and reinforce understanding.


    Topics covered by this course include:
  • Measuring and working with data variability
  • Populations and samples
  • Sampling techniques
  • Comparing customer expectations/specifications vs. reality
  • Control Charts
  • An extensive 2-day multi-part simulation


At the conclusion of this course, participants will have gained hands-on experience analyzing real-life data. The best part: we encourage participants to bring in their own data and use it for each topic and exercise. Participants who cannot or choose not to bring in their own data will be provided data to work with.


Topics covered in class are relevant to all levels of experience. Our instructors simplify complex topics and present them clearly and concisely. Case studies and in-class exercises allow the participant to combine and utilize concepts learned during the course.


Our Unique Approach to Training


Learning data analysis doesn’t have to be a burden. Some suggest “to learn” is our most basic human need. We strive to develop courses so you have fun learning: flinging, spinning, and conducting acts of physical and mental creativity. Read on >>



Course Goals

Learn how to analyze variability (inconsistency) of your data.
Learn how establish limits to the variability for proper predictions.
Understand the difference between a sample and a population.
Understand how to take samples into account to make estimations for the population (For example: think about polling a few voters to see who will win the election).
Learn advanced techniques to look at data over time.
Learn how to put all these topics together to give you powerful graphical and analytical techniques for truly understanding your data.

Who should take the Introduction to Data Analytics 2 course?




This course is ideal for any employee of an organization who desires to or is required to know about how to scrub, organize, analyze and present simple or complicated data.

Training with JMP, Minitab or Excel


In addition to data analytics training, participants will learn and work with the industry’s leading data analysis software (Excel, Minitab or JMP.). We provide this hands-on training because VRDS believes the best way to learn something is to do it. By using these tools to complete individual and group projects throughout the course, participants learn concepts, application and software at the same time.

Customized Courses


VRDS will customize any on-site course(s) to suit the unique business requirements of our clients. From the modification of standard curriculum to new course development, we will provide the education and training your organization needs to be more productive in today’s competitive environment.

Schedule and Location


This Six Sigma Certification course is taught on-demand at your facilities. If you do not have facilities that are suitable, VRDS can arrange facilities with the necessary equipment in the most convenient location for your participants. Contact us for more information about this course.

Interested in any of our provided services? Contact us today!