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)

4.6 out of 5
27,173 students
English
Updated June 2026

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:

Course Name: Statistics for Data Analysis Using Excel (Accredited)
Platform: Udemy
Instructor: Sandeep Kumar, ­ Quality Gurus Inc.
Coupon Last Verified: June 5, 2026
Level: All Levels
Topic: Development
Subtopic: Data Science
Total Time: 11h 30m of video content
Language: English
Access Type: Unlimited lifetime access + updates
Certificate: Included upon completion from Udemy
Main Skills: Fully Updated for 2026! 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.
Requirements: You should have some basic understanding of Microsoft Excel.
Current Price: $9.99 (was $119.99). You save $110.00 with 92% discount.
How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master in This Course

By the end of Statistics for Data Analysis Using Excel (Accredited), you'll have these practical skills:

Fully Updated for 2026! 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.

Prerequisites for This Course

Before enrolling in Statistics for Data Analysis Using Excel (Accredited), make sure you have:

You should have some basic understanding of Microsoft Excel.

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.:

Note: Students who complete this course can apply for the certification exam by Quality Gurus Inc. and achieve the Verified Certification from Quality Gurus Inc. It is optional, and there is no separate fee for it. Quality Gurus Inc. is the Authorized Training Partner (ATP # 6034) of the Project Management Institute (PMI®) and the official Recertification Partner of the Society for Human Resource Management (SHRM®)

The verified certification from Quality Gurus Inc. provides you with 14.0 pre-approved PMI PDUs and 14.0 SHRM PDCs at no additional cost to you.

This course is accredited by The CPD Group (UK). You are eligible to claim 14.0 CPDs for this course (Accreditation# 1016204)

Welcome to "Statistics for Data Analysis Using Microsoft Excel," a fully updated and enhanced course designed to teach you both descriptive and inferential statistics through practical, real-world examples.

This course will eliminate the need to memorize complex formulas by showing you how to leverage Microsoft Excel for statistical analysis effortlessly. By the end of this course, you will be able to apply statistical methods confidently to solve business problems and make fact-based decisions with real data insights.

What’s New in the 2026 Update?
  • 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.

What You’ll Learn
  • 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.

Course Structure & Topics Covered

Section 1: Introduction to Statistics & Descriptive Statistics
  • 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.

Section 2: Probability & Distributions
  • Basic Probability Concepts: Permutations, combinations, & probability rules.
  • Probability Distributions: Normal, binomial, Poisson, Student's t, Chi-square and F distributions.

Section 3: Hypothesis Testing & ANOVA
  • 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.

Section 4: Correlation & Regression
  • Understanding Relationships: How variables influence each other.
  • Correlation Analysis: Measure the strength and direction of relationships.
  • Simple Linear Regression: Predict future trends using Excel.

Section 5: Practical Applications & Projects
  • Real-World Projects: Apply statistical methods to business scenarios.
  • Data Interpretation: Drawing actionable insights from analysis.

New for 2026: Two Hands-On Projects in Section 5!
  • 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?

Your Mission (If You Choose to Accept It):
  • 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!

What are other students saying about this course?
  • 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)

Continuous Professional Development (CPD) Units:
  • 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.

What are you waiting for?

This course comes with Udemy's 30 days money-back guarantee. If you are not satisfied with the course, get your money back.

I hope to see you on the course.

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Is the Statistics for Data Analysis Using Excel (Accredited) Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.Last updated: June 5, 2026.

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.
Final Verdict: Worth It
This course offers exceptional value with current pricing

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.

4.6
★★★★★
27,173 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* 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.

Instructor Name: Sandeep Kumar, ­ Quality Gurus Inc.
Subject Area: Development
Teaching Approach: Practical, project-based instruction focused on real-world application of Development skills.

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

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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.

4.8/5 Rating
Trusted by 10K+ Students

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