DA400: Intro to Quantitative Methods

About This Course

In data analytics, a foundation in quantitative methods is crucial. Analysts need to be able to think critically about how to design and collect data, visualize and analyze it, and summarize and communicate their results to others in a clear, meaningful, and honest manner.

This introductory course provides participants with an overview of the language and “how-to” of quantitative methods, graphical techniques to orient one to what the data may be saying, basic but essential statistical concepts, and guidelines for communicating what they learn from their studies. Participants will leave the course with a grounding in the concepts that enable them to think critically about the methods that they deploy, be skilled in specific graphical and statistical methods universally applicable to any study, and know how to talk about what they mean. No prior experience or knowledge of statistics is necessary. Just bring your best curiosity!

Course Snapshot

Format	The course is delivered remotely, with a blend of virtual live sessions and self-paced activities.
Frequency	2 times per year (Winter and Summer)
Length	One week with a 15-hour workload. Please check the schedule for live session dates and times.
Cost	$649

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Data Analytics

It is difficult to imagine today’s world without big data. More information is available than ever before, and understanding how to properly collect, evaluate, draw conclusions from, and apply data is critical for making informed business decisions. Professionals in all industries are increasingly using...

Data analytics

What You’ll Learn

Upon completion of this course, students will have gained the knowledge to:

Describe data in a meaningful way with histograms, box and whisker plots, and statistics.
Recognize the difference between signal vs. noise variation.
Test data to identify the best distribution fit and the implications.
Construct, read, and interpret statistical control charts.
Become familiar with t- and F-distributions and use them to test differences in means and variances.

Additional Information

A laptop with Microsoft Excel is required.

The Learning Environment

This course is delivered in a virtual format and combines lectures, discussions, and group activities.

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Other Courses in this Certificate Track

Enrolling in the full certificate program allows for more comprehensive learning in regard to data analytics.

Course Schedule

Courses may be taken individually and in any order unless otherwise noted. Five courses are required to complete the certificate. If pursuing the certificate, all courses in the certificate program must be completed within three years. Visit the program page for a recommended sequence.

Meet the Instructor

Steve Zagarola

Steve Zagarola, Managing Partner and Co-Founder of NWCPE, is a Six Sigma Executive Master Black Belt certified by Mikel Harry – a co-founder of the Six Sigma methodology from Motorola. He has more than 25 years of...

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