Advanced Quantitative Statistics with Excel (Free Online Course) : Quantitative statistics forms the backbone of data analysis in various fields, from social sciences to finance and business analytics. Understanding advanced statistical concepts is crucial for making data-driven decisions. Microsoft Excel, a powerful yet accessible tool, allows users to conduct sophisticated statistical analyses without needing specialized software. With its versatile functions and user-friendly interface, Excel enables professionals to apply techniques such as regression analysis, hypothesis testing, and ANOVA efficiently. In this guide, we will explore how Excel can be utilized to perform advanced quantitative statistical operations, helping you uncover patterns, relationships, and insights from data.
Contents
What You Will Learn?
| Practice with Excel’s Analysis ToolPak to perform advanced statistical analysis. |
| Evaluate various hypothesis tests within Excel, including t-tests and ANOVA. |
| Analyze business problems with the use of Excel to conduct simple and multiple regression analyses |
Skills You Will Gain
- Data Manipulation
- Business Insights Interpretation
- Regression Analysis
- Hypothesis Testing
- Data Visualization
Concepts Covered in the Course
Module 1 – Advanced Quantitative Statistics with Excel
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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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