Statistics for Data Analysis Using Excel (Accredited) — 92% OFF Coupon
Descriptive and Inferential Statistics Theory With Excel Examples for Business / Six Sigma - 14 PMI PDUs (2026 Version)
Quick Facts — Statistics for Data Analysis Using Excel (Accredited) Overview
Here's a quick overview of everything you need to know about Statistics for Data Analysis Using Excel (Accredited) before you enroll:
Skills You'll Master in This Course
By the end of Statistics for Data Analysis Using Excel (Accredited), you'll have these practical skills:
Prerequisites for This Course
Before enrolling in Statistics for Data Analysis Using Excel (Accredited), make sure you have:
About This Udemy Course
The following is the full official course description for Statistics for Data Analysis Using Excel (Accredited) as published on Udemy by instructor Sandeep Kumar, Quality Gurus Inc.:
- 140+ Quiz Questions across all sections for deeper understanding.
- Two Real-World Projects to apply your skills in business scenarios.
- New Video Content with clearer explanations of statistical concepts.
- Downloadable Slides & Resources for easy reference.
- Descriptive & Inferential Statistics: Understand and apply statistical concepts from basic to advanced levels.
- Excel Proficiency: Use Excel functions & formulas to simplify statistical calculations.
- Data Interpretation: Learn to analyze and draw insights from raw data.
- Data Visualization: Create histograms, box plots, and scatter plots to represent data visually.
- Real-World Decision-Making: Solve business problems using fact-based statistical analysis.
- Fundamentals of Statistics & their importance in business.
- Excel for Data Analysis: Key functions & tools.
- Measures of Central Tendency: Mean, median, mode.
- Measures of Spread: Standard deviation, range, quartiles, interquartile range.
- Basic Probability Concepts: Permutations, combinations, & probability rules.
- Probability Distributions: Normal, binomial, Poisson, Student's t, Chi-square and F distributions.
- One-Sample Tests: Z-tests, t-tests, p-tests, variance tests
- Two-Sample Tests: Compare groups using statistical testing.
- Analysis of Variance (ANOVA): Step-by-step procedures.
- Understanding Relationships: How variables influence each other.
- Correlation Analysis: Measure the strength and direction of relationships.
- Simple Linear Regression: Predict future trends using Excel.
- Real-World Projects: Apply statistical methods to business scenarios.
- Data Interpretation: Drawing actionable insights from analysis.
- Project 1: Who buys more cosmetics? Male vs. Female—What does the data say?
- Project 2: Nurse Salaries—Do male or female nurses earn more?
- Don’t assume females buy more cosmetics than males.
- Don’t assume one gender earns more in nursing.
- Use data, not assumptions! Let statistics reveal the truth.
- Start the Updated Course Now & Upgrade Your Data Analysis Skills!
- Ready to apply statistics to real-world problems? Join 25,000+ students who are mastering data analysis with Excel!
- He's better than all my university lecturers, very clear, concise and seamless progression of the evolution of concepts in a systematic way that makes it easy to understand...Bravo!! (5 stars by Ayanda Peter)
- A well-planned curriculum, fantastic resources for downloads, professionally presented slides, very easy to understand, truly the best course for every financial analyst. (5 stars by Arumugam K Chandrasekar)
- I am fan of his teachings. it is recommended to every other person who is not confident in Statistics and want to be a pro. (5 stars by Apnatav Bhatia)
- Its more than my expectations, absolutely wonderful since it start with basics. (5 stars by Boikaego Raditlatla)
- Great course for learning business statistics or statistics in general. (5 stars by Sudesh Pandey)
- Brilliant course. Takes the difficult, sometimes even boring Statistics model and breaks them into easy bite size portions. Explains the theory behind it and then the Excel way of doing it. (5 stars by Karthikeyan Stalin)
- The self study step by step and the excel examples are very great. I can follow the course and practice on my computer alongside. Thank you for putting this whole thing together. Not a very exciting subject to teach so I appreciate being able to put this long course together to make it easy for people like us to utilize and study. (5 stars by Dr Stanley Adjabeng)
- For the ASQ® Recertification Units (RUs), we suggest 1.40 RUs under the Professional Development > Continuing Education category.
- For PMI®, 14.0 pre-approved PDUs can be provided after completing our optional/free certification exam. The detailed steps for taking Quality Gurus Inc. certification with preapproved PDUs are provided in the courses.
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Is the Statistics for Data Analysis Using Excel (Accredited) Coupon Worth It?
Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Statistics for Data Analysis Using Excel (Accredited) is a high-value resource for learners seeking to build skills inDevelopment. Taught by Sandeep Kumar, Quality Gurus Inc. on Udemy, the 11h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 92%, from $119.99 to $9.99, removing the primary financial barrier to enrollment.
✓What We Like (Pros)
- Verified 92% price reduction makes this course accessible to learners on any budget.
- Aggregate student rating of 4.6 out of 5 indicates high learner satisfaction.
- Strong enrollment base with over 27,173 students demonstrates course popularity and trust.
- Includes an official Udemy completion certificate and lifetime access to all future content updates.
!Keep in Mind (Cons)
The following limitations should be considered before enrolling in Statistics for Data Analysis Using Excel (Accredited):
- The depth of Development coverage may be challenging for absolute beginners without the listed prerequisites.
- Lifetime access is contingent on the continued operation of the Udemy platform.
- Hands-on projects and quizzes require additional time investment beyond video watch time.
Course Rating Summary
Statistics for Data Analysis Using Excel (Accredited) has earned an aggregate rating of 4.6 out of 5 from 27,173 verified student reviews on Udemy. Below is the detailed rating distribution showing learner satisfaction across all star levels.
* Rating distribution is approximated from the aggregate score. Sourced from Udemy.
About the Instructor — Sandeep Kumar, Quality Gurus Inc.
Statistics for Data Analysis Using Excel (Accredited) is taught by Sandeep Kumar, Quality Gurus Inc., a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.
Frequently Asked Questions
The following questions and answers cover the most common queries about Statistics for Data Analysis Using Excel (Accredited), its coupon code, pricing, and enrollment process.
About the Author
Andrew Derek
Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.
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