Statistics for Data Analysis Using Excel (Accredited)

Statistics for Data Analysis Using Excel (Accredited)
2025-08-02
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Descriptive and Inferential Statistics Theory With Excel Examples for Business / Six Sigma – 14 PMI PDUs (2025 Version)

What you’ll learn
Fully Updated for 2025! New videos, 2 real-life projects, and 140+ quiz questions added. Dive in and upgrade your stats skills now!
Master the essentials of descriptive and inferential statistics through straightforward and practical examples, making complex concepts easy to grasp.
Harness the power of Microsoft Excel to perform a wide range of statistical calculations, eliminating the need to remember long and complex formulas.
Gain a solid foundation in statistics, from basic principles to advanced applications, enabling you to solve business problems efficiently using Excel.
Transform vast amounts of data into meaningful insights, empowering you to make informed, fact-based decisions that drive business success.
Develop proficiency in Excel, to perform and streamline your data analysis tasks without the need for advanced software like Minitab, R, or Python.
Visualize your data effectively by creating and interpreting histograms, box plots, and scatter plots, to communicate your findings clearly and effectively.
Enhance your career prospects by gaining practical skills in data analysis using Excel, a highly valued competence in today’s data-driven business environment.
Boost your confidence in handling statistical analysis, making you a valuable asset to your organization and opening up opportunities for professional growth.

Requirements
You should have some basic understanding of Microsoft Excel.

Description
Who this course is for:
Business managers and data analysts who are trying make decision based on data and facts, Six Sigma Green and Black Belt professionals using MS Excel to conduct statistical analysis

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