Excel Statistics: Descriptive Data Analysis
Master Excel for data analysis. Learn descriptive statistics, probability, and visualization techniques in this beginner-friendly course.
Master Excel for data analysis. Learn descriptive statistics, probability, and visualization techniques in this beginner-friendly course.
Dive into the world of data analysis with Excel in this comprehensive course. Designed for beginners, it provides a solid foundation in statistics and probability. Learn to calculate descriptive statistics, understand probability concepts, and create impactful data visualizations using Excel. Covering both discrete and continuous probability distributions, this course equips you with essential skills for data science and analytics. Perfect for those looking to enhance their Excel proficiency and statistical knowledge.
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What you'll learn
Calculate descriptive statistics including traditional and robust estimators
Understand and apply fundamental probability concepts and rules
Utilize statistical functions in Microsoft Excel for data analysis
Create and interpret various data visualizations including histograms, scatter plots, and box plots
Apply discrete and continuous probability distributions to real-world scenarios
Develop skills in data cleaning and transformation using Excel
Skills you'll gain
This course includes:
5.75 Hours PreRecorded video
15 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This course provides a comprehensive introduction to statistics and data analysis using Microsoft Excel. Students will learn fundamental concepts in descriptive statistics, probability, and both discrete and continuous probability distributions. The curriculum covers essential skills such as calculating population and sample statistics, data visualization techniques including histograms and scatter plots, and applying various probability rules. Participants will gain hands-on experience using Excel for statistical calculations and data representation, making this course ideal for beginners in data science and analytics.
WELCOME!
Module 1 · 1 Hours to complete
Descriptive Statistics and Graphical Representation of Data
Module 2 · 3 Hours to complete
Probability
Module 3 · 3 Hours to complete
Discrete Probability Distributions
Module 4 · 3 Hours to complete
Continuous Probability Distributions
Module 5 · 4 Hours to complete
Fee Structure
Instructor
Inspiring Future Engineers at the University of Colorado Boulder
Charlie Nuttelman is a Teaching Professor in the Department of Chemical and Biological Engineering at the University of Colorado Boulder, where he has been an instructor since 2007. He earned his B.S., M.S., and Ph.D. degrees from the same department in 1999, 2001, and 2005, respectively. Over his teaching career, Nuttelman has taught 18 different courses, accumulating more than 20,000 student credit hours, ranging from introductory engineering classes to advanced senior design courses. He is particularly passionate about teaching introductory computing, a course he has delivered over 20 times, appreciating the creativity and problem-solving opportunities it offers to students new to programming. In addition to his on-campus teaching, he instructs seven courses on Coursera, including specializations in "Excel/VBA for Creative Problem Solving" and "Everyday Excel." Nuttelman’s commitment to education and innovation in engineering pedagogy continues to inspire and equip students with essential skills for their future careers.
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Frequently asked questions
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