Microsoft Excel: Essential Statistics for Data Analysis
Learn statistics for data analysis with fun, real-world Excel demos: probability, hypothesis testing, regression & more!
Lo que serás capaz de hacer
This is a hands-on, project-based course designed to help you learn and apply essential statistics concepts for data analysis and business intelligence. Our goal is to simplify and demystify the world of statistics using familiar spreadsheet tools like Microsoft Excel, and empower everyday people to understand and apply these tools and techniques – even if you have absolutely no background in math or stats ! We'll start by discussing the role of statistics in business intelligence, the difference between sample and population data, and the importance of using statistical techniques to make smart predictions and data-driven decisions. Next we'll explore our data using descriptive statistics and probability distributions , introduce the normal distribution and empirical rule, and learn how to apply the central limit theorem to make inferences about populations of any type. From there we'll practice making estimates with confidence intervals , and using hypothesis tests to evaluate assumptions about unknown population parameters. We'll introduce the basic hypothesis testing framework, then dive into concepts like null and alternative hypotheses, t-scores, p-values, type I vs. type II errors, and more. Last but not least, we'll introduce the fundamentals of regression analysis , explore the difference between correlation and causation, and practice using basic linear regression models to make predictions using Excel's Analysis Toolpak. Throughout the course, you'll play the role of a Recruitment Analyst for Maven Business School . Your goal is to use the statistical techniques you've learned to explore student data, predict the performance of future classes, and propose changes to help improve graduate outcomes. You'll also practice applying your skills to 5 real-world BONUS PROJECTS , and use statistics to explore data from restaurants, medical centers, pharmaceutical companys, safety teams, airlines, and more. COURSE OUTLINE: Why Statistics? Discuss the role of statistics in the context of business intelligence and decision-making, and introduce the statistics workflow Understanding Data with Descriptive Statistics Understand data using descriptive statistics in Excel, including frequency distributions and measures of central tendency & variability PROJECT #1 : Maven Pizza Parlor Modeling Data with Probability Distributions Model data with probability distributions, and use the normal distribution to calculate probabilities and make value estimates using Excel formulas PROJECT #2 : Maven Medical Center The Central Limit Theorem Introduce the Central Limit Theorem, which leverages the normal distribution to make inferences on populations with any distribution Making Estimates with Confidence Intervals Make estimates with confidence intervals, which use sample statistics to define a range where an unknown population parameter likely lies PROJECT #3 : Maven Pharma Drawing Conclusions with Hypothesis Tests Draw conclusions with hypothesis tests, which let you evaluate assumptions about population parameters using sample statistics PROJECT #4 : Maven Safety Council Making Predictions with Regression Analysis Make predictions with regression analysis, and estimate the values of a dependent variable via its relationship with independent variables PROJECT #5 : Maven Airlines Join today and get immediate, lifetime access to the following: 7.5 hours of high-quality video Statistics for Data Analysis PDF ebook (150+ pages) Downloadable Excel project files & solutions Expert support and Q&A forum 30-day Udemy satisfaction guarantee If you're a data analyst, data scientist, business intelligence professional, or anyone looking to use statistics to make smart, data-driven decisions, this course is for you ! Happy learning! -Enrique Ruiz (Lead Statistics & Excel Instructor, Maven Analytics ) __________ Looking for our full course library? Search " Maven Analytics " to browse our full collection of Excel, Power BI, SQL , Tableau , Python , Alteryx & Machine Learning courses! See why our Excel courses are some of the TOP-RATED on Udemy: "At the first part I just said to myself, 'Wow, Excel is capable of that? It's amazing!' Then at the second part I told myself 'This guy is doing magic!', and now I feel like I'm capable of doing the same. I can't wait to dive into the other courses!" - Judit B. "Excellent from start to finish. I picked up a bunch of techniques that will be useful in the workplace, from new chart templates to some very cool advanced visualizations. I loved all of it!" - Robert C. "Excellent material that I apply to my daily use of Excel. I consider myself an Excel professional, yet I picked up dozens of new tips and techniques. Wonderful course, well-presented and well-explained." - Jeffrey P. __________
- Learn powerful statistics tools and techniques for data analysis & business intelligence
- Understand how to apply foundational statistics concepts like the central limit theorem and empirical rule
- Explore data with descriptive statistics, including probability distributions and measures of variability & central tendency
- Model data and make estimates using probability distributions and confidence intervals
- Make data-driven decisions and draw conclusions with hypothesis testing
- Use linear regression models to explore variable relationships and make predictions
Temario
UNIDAD 1 - Getting Started · 6 leccionesUNIDAD 1 - Getting Started
UNIDAD 1 - Getting Started
- Course Structure & Outline
- READ ME: Important Notes for New Students
- DOWNLOAD: Course Resources
- Setting Expectations
- The Course Project
- Helpful Resources
UNIDAD 2 - Why Statistics? · 5 leccionesUNIDAD 2 - Why Statistics?
UNIDAD 2 - Why Statistics?
- Section Intro
- Why Statistics?
- Populations & Samples
- The Statistics Workflow
- QUIZ: Why Statistics?
UNIDAD 3 - Understanding Data with Descriptive Statistics · 25 leccionesUNIDAD 3 - Understanding Data with Descriptive Statistics
UNIDAD 3 - Understanding Data with Descriptive Statistics
- Section Intro
- Descriptive Statistics Basics
- Types of Variables
- Types of Descriptive Statistics
- Categorical Frequency Distributions
- Numerical Frequency Distributions
- Histograms
- ASSIGNMENT: Frequency Distributions
- KNOWLEDGE CHECK: Frequency Distributions
- SOLUTION: Frequency Distributions
- Mean, Median, and Mode
- Left & Right Skew
- ASSIGNMENT: Measures of Central Tendency
- KNOWLEDGE CHECK: Measures of Central Tendency
- SOLUTION: Measures of Central Tendency
- Min, Max & Range
- Interquartile Range
- Box & Whisker Plots
- Variance & Standard Deviation
- PRO TIP: Coefficient of Variation
- ASSIGNMENT: Measures of Variability
- KNOWLEDGE CHECK: Measures of Variability
- SOLUTION: Measures of Variability
- Key Takeaways
- QUIZ: Descriptive Statistics
UNIDAD 4 - PROJECT #1: Maven Pizza Parlor · 2 leccionesUNIDAD 4 - PROJECT #1: Maven Pizza Parlor
UNIDAD 4 - PROJECT #1: Maven Pizza Parlor
- PROJECT BRIEF: Maven Pizza Parlor
- SOLUTION: Maven Pizza Parlor
UNIDAD 5 - Modeling Data with Probability Distributions · 25 leccionesUNIDAD 5 - Modeling Data with Probability Distributions
UNIDAD 5 - Modeling Data with Probability Distributions
- Section Intro
- Probability Distribution Basics
- Types of Probability Distributions
- The Normal Distribution
- Z Scores
- The Empirical Rule
- ASSIGNMENT: Normal Distributions
- KNOWLEDGE CHECK: Normal Distributions
- SOLUTION: Normal Distributions
- Excel's Normal Distribution Functions
- Calculating Probabilities with the Normal Distribution
- The NORM.DIST Function
- The NORM.S.DIST Function
- ASSIGNMENT: Calculating Probabilities
- KNOWLEDGE CHECK: Calculating Probabilities
- SOLUTION: Calculating Probabilities
- PRO TIP: Plotting the Normal Curve
- Estimating X or Z Values with the Normal Distribution
- The NORM.INV Function
- The NORM.S.INV Function
- ASSIGNMENT: Estimating Values
- KNOWLEDGE CHECK: Estimating Values
- SOLUTION: Estimating Values
- Key Takeaways
- QUIZ: Probability Distributions
UNIDAD 6 - PROJECT #2: Maven Medical Center · 2 leccionesUNIDAD 6 - PROJECT #2: Maven Medical Center
UNIDAD 6 - PROJECT #2: Maven Medical Center
- PROJECT BRIEF: Maven Medical Center
- SOLUTION: Maven Medical Center
UNIDAD 7 - The Central Limit Theorem · 8 leccionesUNIDAD 7 - The Central Limit Theorem
UNIDAD 7 - The Central Limit Theorem
- Section Intro
- The Central Limit Theorem
- DEMO: Proving the Central Limit Theorem
- Standard Error
- Implications of the Central Limit Theorem
- Applications of the Central Limit Theorem
- Key Takeaways
- QUIZ: The Central Limit Theorem
UNIDAD 8 - Making Estimates with Confidence Intervals · 32 leccionesUNIDAD 8 - Making Estimates with Confidence Intervals
UNIDAD 8 - Making Estimates with Confidence Intervals
- Section Intro
- Confidence Intervals Basics
- Confidence Level
- Margin of Error
- DEMO: Calculating Confidence Intervals
- The CONFIDENCE.NORM Function
- ASSIGNMENT: Confidence Intervals
- KNOWLEDGE CHECK: Confidence Intervals
- SOLUTION: Confidence Intervals
- Types of Confidence Intervals
- T Distribution
- Excel's T Distribution Functions
- Confidence Intervals with the T Distribution
- ASSIGNMENT: Confidence Intervals (T Distribution)
- KNOWLEDGE CHECK: Confidence Intervals (T Distribution)
- SOLUTION: Confidence Intervals (T Distribution)
- Confidence Intervals for Proportions
- ASSIGNMENT: Confidence Intervals (Proportions)
- KNOWLEDGE CHECK: Confidence Intervals (Proportions)
- SOLUTION: Confidence Intervals (Proportions)
- Confidence Intervals for Two Populations
- Dependent Samples
- ASSIGNMENT: Confidence Intervals (Dependent Samples)
- KNOWLEDGE CHECK: Confidence Intervals (Dependent Samples)
- SOLUTION: Confidence Intervals (Dependent Samples)
- Independent Samples
- ASSIGNMENT: Confidence Intervals (Independent Samples)
- KNOWLEDGE CHECK: Confidence Intervals (Independent Samples)
- SOLUTION: Confidence Intervals (Independent Samples)
- PRO TIP: Difference Between Proportions
- Key Takeaways
- QUIZ: Confidence Intervals
UNIDAD 9 - PROJECT #3: Maven Pharma · 2 leccionesUNIDAD 9 - PROJECT #3: Maven Pharma
UNIDAD 9 - PROJECT #3: Maven Pharma
- PROJECT BRIEF: Maven Pharma
- SOLUTION: Maven Pharma
UNIDAD 10 - Drawing Conclusions with Hypothesis Tests · 28 leccionesUNIDAD 10 - Drawing Conclusions with Hypothesis Tests
UNIDAD 10 - Drawing Conclusions with Hypothesis Tests
- Section Intro
- Hypothesis Testing Basics
- Null & Alternative Hypothesis
- Significance Level
- Test Statistic (T-score)
- P-Value
- Drawing Conclusions from Hypothesis Tests
- ASSIGNMENT: Hypothesis Tests
- KNOWLEDGE CHECK: Hypothesis Tests
- SOLUTION: Hypothesis Tests
- Relationship between Confidence Intervals & Hypothesis Tests
- Type I & Type II Errors
- One Tail & Two Tail Hypothesis Tests
- DEMO: One Tail Hypothesis Test
- Hypothesis Tests for Proportions
- ASSIGNMENT: Hypothesis Tests (Proportions)
- KNOWLEDGE CHECK: Hypothesis Tests (Proportions)
- SOLUTION: Hypothesis Tests (Proportions)
- Hypothesis Tests for Dependent Samples
- ASSIGNMENT: Hypothesis Tests (Dependent Samples)
- KNOWLEDGE CHECK: Hypothesis Tests (Dependent Samples)
- SOLUTION: Hypothesis Tests (Dependent Samples)
- Hypothesis Tests for Independent Samples
- ASSIGNMENT: Hypothesis Tests (Independent Samples)
- KNOWLEDGE CHECK: Hypothesis Tests (Independent Samples)
- SOLUTION: Hypothesis Tests (Independent Samples)
- Key Takeaways
- QUIZ: Hypothesis Tests
UNIDAD 11 - PROJECT #4: Maven Safety Council · 2 leccionesUNIDAD 11 - PROJECT #4: Maven Safety Council
UNIDAD 11 - PROJECT #4: Maven Safety Council
- PROJECT BRIEF: Maven Safety Council
- SOLUTION: Maven Safety Council
UNIDAD 12 - Making Predictions with Regression Analysis · 22 leccionesUNIDAD 12 - Making Predictions with Regression Analysis
UNIDAD 12 - Making Predictions with Regression Analysis
- Section Intro
- Linear Relationships
- Correlation (R)
- ASSIGNMENT: Linear Relationships
- KNOWLEDGE CHECK: Linear Relationships
- SOLUTION: Linear Relationships
- Linear Regression & Least Squared Error
- Excel's Linear Regression Functions
- ASSIGNMENT: Simple Linear Regression
- KNOWLEDGE CHECK: Simple Linear Regression
- SOLUTION: Simple Linear Regression
- Determination (R-Squared)
- Standard Error
- Homoskedasticity & Heteroskedasticity
- Hypothesis Testing with Regression
- ASSIGNMENT: Model Evaluation
- KNOWLEDGE CHECK: Model Evaluation
- SOLUTION: Model Evaluation
- Excel's Regression Tool (Analysis ToolPak)
- PRO TIP: Multiple Linear Regression
- Key Takeaways
- QUIZ: Regression Analysis
UNIDAD 13 - PROJECT #5: Maven Airlines · 2 leccionesUNIDAD 13 - PROJECT #5: Maven Airlines
UNIDAD 13 - PROJECT #5: Maven Airlines
- PROJECT BRIEF: Maven Airlines
- SOLUTION: Maven Airlines
UNIDAD 14 - BONUS LESSON · 1 leccionesUNIDAD 14 - BONUS LESSON
UNIDAD 14 - BONUS LESSON
- BONUS LESSON
Tu certificado lo emite la SEP, no solo una plataforma
Al demostrar la competencia recibes un certificado emitido por la Secretaría de Educación Pública a través del Gobierno del Estado de México: un documento oficial que puedes presentar con confianza ante cualquier empleador o institución.
Tu certificado con INEC
- Lo emite la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México
- Documento oficial con folio verificable en línea
- Lo otorga la Universidad Tecnológica Fidel Velázquez
Otras plataformas en línea
- Constancia privada emitida por la misma plataforma
- Solo acredita horas cursadas o asistencia
- Sin respaldo de una autoridad educativa
Tu itinerario, de la inscripción al certificado
- 1
Inscripción con pago único
Pagas $2,800 MXN una sola vez y entras de inmediato al curso.
- 2
Estudias a tu ritmo
14 unidades con videos, lecturas y actividades, disponibles 24/7 durante 12 meses.
- 3
Cuestionarios por unidad
25 cuestionarios para comprobar lo aprendido.
- 4
Certificado
Emitido por la SEP a través del Gobierno del Estado de México, con folio verificable.
Un certificado oficial de la SEP
- Emitido por la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México. No es una constancia privada: es un documento oficial, y ese respaldo marca la diferencia frente a otras plataformas en línea.
- Contenido impartido por Maven Analytics (2,000,000+ Learners).
- Folio y QR verificables para compartirlo con quien te contrate.
Empieza hoy, a tu ritmo
Un solo pago y acceso inmediato al curso completo durante 12 meses.
- 14 unidades · 162 lecciones · 60 h
- 12 meses de acceso
- 25 cuestionarios de evaluación
- Certificado emitido por la SEP (Gob. del Estado de México) con folio verificable
Sobre tu inscripción
¿Cómo es el pago?
Un solo pago de $2,800 MXN. No hay mensualidades ni cargos recurrentes.
¿Cuánto tiempo tengo acceso?
12 meses desde tu inscripción, 24/7, para avanzar a tu ritmo.
¿Quién imparte el contenido?
El curso es impartido por Maven Analytics (2,000,000+ Learners); INEC gestiona tu inscripción, evaluación y certificado.
¿Qué pasa cuando vence mi acceso?
Puedes renovar tu cuenta tú mismo desde la plataforma, sin trámites ni esperas.


