# Computing Descriptive Statistics Using Prompt Engineering

Generative AI    |    Beginner
• 9 videos | 1h 24m 18s
• Includes Assessment
Rating 5.0 of 1 users (1)
Statistics is a branch of mathematics that involves the collection, analysis, interpretation, presentation, and organization of data. It provides a framework for making inferences and drawing generalizable conclusions from observed information and it offers great tools to uncover patterns, trends, and relationships within datasets. Begin this course by exploring two important types of statistics - descriptive and inferential statistics. Next, learn how to compute and interpret descriptive statistics in code, including measures of central tendency and dispersion, mean and median, and range. Then use generative artificial intelligence (AI) tools to help interpret visualizations and understand the nuance between the different statistical measures and when you would choose to use them. After completing this course, you will have a solid understanding of how to calculate, interpret, and visualize descriptive statistics using Python and be able to leverage prompt engineering to help with implementation and interpretation.

## WHAT YOU WILL LEARN

• Discover the key concepts covered in this course
Use prompt engineering to learn about statistics and machine learning
Set up and use generative artificial intelligence (ai) chatbots
Compute mean and median in python using prompt engineering
Interpret images with generative ai
• Calculate range and interquartile range
Calculate variance and standard deviation
Interpret skewness and kurtosis using ai chatbots
Summarize the key concepts covered in this course

## IN THIS COURSE

• In this video, we will discover the key concepts covered in this course.
• After completing this video, you will be able to use prompt engineering to learn about statistics and machine learning.
• 3.  Setting up Generative AI Assistants
During this video, you will learn how to set up and use generative artificial intelligence (AI) chatbots.
• 4.  Computing Mean and Median with Generative AI's Help
In this video, discover how to compute mean and median in Python using prompt engineering.
• 5.  Prompt Engineering for Explanations and Image Interpretation
Find out how to interpret images with generative AI.
• 6.  Computing Range and Interquartile Range
Learn how to calculate range and interquartile range.
• 7.  Computing Variance and Standard Deviation with ChatGPT's Help
During this video, discover how to calculate variance and standard deviation.
• 8.  Interpreting Measures of Shape Using Prompt Engineering
In this video, you will learn how to interpret skewness and kurtosis using AI chatbots.
• 9.  Course Summary
In this video, we will summarize the key concepts covered in this course.

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