Statistics for Data Analysis Using Excel (Accredited) (Udemy.com)

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)