Statistics for Data Analysis Using Excel (Accredited)
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
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 2025 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 2025: 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.
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
Featured review
Instructor
ASQ ConnEx Expert, PMI-PMP, IRCA Registered Lead Auditor, ASQ - CSSBB, CQA, CQE, CMQ/OE, IIA - CIA, NAHQ - CPHQ
Sandeep Kumar has more than 35 years of Quality Management experience. He has worked as Quality Director on several projects, including Power, Oil and Gas and Infrastructure projects.
In addition, he provides coaching and consulting services to implement Lean Six Sigma to improve performance.
After the successful completion of ASQ vetting, Sandeep Kumar has been designated as a genuine and authorized ASQConnEx expert. ASQConnEx is an education delivery system and network that vets, designates, and connects quality subject matter experts with organizations to advance their excellence journey.
His areas of specialization include Quality Assurance, ISO 9001:2015, Lean, Six Sigma, Risk Management, QMS Audits, Supplier Quality Surveillance, Supplier Pre-qualification, Construction Quality, Mechanical Inspection and Quality Training.
Professional Qualifications:
His professional qualifications/certifications include:
• Authorized ASQ ConnEx Expert
• ASQ-CSSBB, Certified Six Sigma Black Belt
• ASQ-CMQ/OE Certified Manager of Quality/Organizational Excellence
• PMI-PMP Certified Project Management Professional
• IRCA Registered Lead Auditor (QMS-2015)
• IIA-CIA Certified Internal Auditor
• NAHQ-CPHQ Certified Professional in Healthcare Quality
• ASQ-CSSGB, Certified Six Sigma Green Belt
• ASQ-CQA Certified Quality Auditor
• ASQ-CQE Certified Quality Engineer
• ASQ-CSQP Certified Supplier Quality Professional