Embark on a comprehensive 4.5-hour journey through statistics for data science, incorporating cutting-edge Gen AI and ChatGPT 4o applications. Explore essential concepts including descriptive, prescriptive, and predictive statistics, while mastering techniques like correlation, covariance, and linear regression. Dive into practical applications with hands-on exercises in data loading, statistical summaries, and various analytical methods such as univariate, bivariate, and multivariate analyses. Learn to leverage powerful visualization tools like histograms, box plots, and heat maps to extract meaningful insights from data. Discover how to harness ChatGPT 4o for advanced statistical analysis, bridging traditional methods with modern AI capabilities. Perfect for beginners and those looking to enhance their skills, this course offers a blend of theoretical knowledge and practical implementation, preparing you for real-world data science challenges.
Statistics for Data Science with Gen AI and ChatGPT - Full Course (2024)
Overview
Syllabus
- Introduction
- What is statistics?
- Role of Statistics in Data Science
- Real-world Application of Statistics
- Types of Statistics [Descriptive, Prescriptive and Predictive]
- Descriptive Analysis
- Problem Statement
- Loading the Dataset
- Statistical Summary
- Quartile Range
- Univariate Analysis using Histogram
- Bi-variate Analysis using Box-plot
- Multivariate Analysis using Pivot Table
- Multivariate Analysis using Pair plot
- Types of Data
- Mean, Median, and Mode
- Correlation
- Covariance
- Analysis using Heat Map
- Simple Linear Regession
- Regression Co-efficient and Intercept
- Using ChatGPT 4o for Statistical Analysis
- Summary
Taught by
Great Learning
