Statistics and Data Analysis with Excel University of Colorado Boulder (Free Online Course) : Excel is a versatile tool that empowers users to perform a wide range of statistical analyses and data manipulation tasks without the need for specialized software. Whether you’re analyzing trends, calculating probabilities, or testing hypotheses, Excel’s built-in functions and data visualization tools make it easy to manage and interpret complex datasets. From descriptive statistics to advanced techniques like regression analysis and ANOVA, Excel allows users to conduct robust data analysis in an intuitive environment. In this introduction, we’ll explore how Excel can be effectively used to apply statistical methods, providing insights that drive informed decisions in business, research, and beyond.
Contents
What You Will Learn?
| Calculate descriptive statistics (traditional and robust estimators). |
| Understand probability and apply probability rules. |
| Utilize statistical functions in Microsoft Excel. |
| Visualize univariate and bivariate data in Microsoft Excel. |
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Skills You Will Gain
- Bayes’ Theorem
- Normal Distribution
- Probability
- Conditional Probability
Concepts Covered in the Course
Module 1 – Introduction
Module 2 – Descriptive Statistics and Graphical Representation of Data
Module 3 – Probability
Module 4 – Discrete Probability Distributions
Module 5 – Continuous Probability Distributions
Course Enrollment Process
Here are steps on how to enroll in the “Introduction to Cybersecurity Fundamentals” course on Coursera:
- Visit the Course Page: Go to the course page on Coursera.
- Click on “Enroll for Free”: Located on the far-left side under the course title.
- Choose Enrollment Type: Opt for either the “Free Audit” or a paid version for certification.
- Sign In or Register: Log in or create a Coursera account.
- Start Learning: Once enrolled, access the course materials.
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