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1
- Introduction
2
- What is statistics?
3
- Role of Statistics in Data Science
4
- Real-world Application of Statistics
5
- Types of Statistics [Descriptive, Prescriptive and Predictive]
6
- Descriptive Analysis
7
- Problem Statement
8
- Loading the Dataset
9
- Statistical Summary
10
- Quartile Range
11
- Univariate Analysis using Histogram
12
- Bi-variate Analysis using Box-plot
13
- Multivariate Analysis using Pivot Table
14
- Multivariate Analysis using Pair plot
15
- Types of Data
16
- Mean, Median, and Mode
17
- Correlation
18
- Covariance
19
- Analysis using Heat Map
20
- Simple Linear Regession
21
- Regression Co-efficient and Intercept
22
- Using ChatGPT 4o for Statistical Analysis
23
- Summary
Description:
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)

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