Day - 10 | Pandas in Python | descriptive Statistics |exploratory data analysis in python|nan value

🚀 **Welcome to AI Ki Pathshala!** 🚀

Timestamp:
00:00:00 - 00:00:51 : Review of Last Session
00:01:52 - 00:10:19 : Dropping NAN in Pandas Series
00:10:20 - 00:13:09 : Filling NAN in Pandas Series
00:13:10 - 00:18:15 : Descriptive Statistics - sum, mean, median of values in series
00:18:16 - 00:25:20 : Concept of Quantiles
00:25:21 - 00:28:22 : Histogram of Series data
00:28:23 - 00:29:30 : IQR(Inter Quartile Range)
00:29:31 - 00:32:57 : Minimum, Maximum, Standard Deviation and Variance of a Series
00:32:58 - 00:36:58 : The describe Method
00:36:59 - 00:43:40 : Mode, Value_counts and Relative frequency of Series data
00:43:41 - 00:44:25 : Committing code to gitHub
00:44:26 : End Note and Greetings


Telegram Channel : https://t.me/aikipathshala

Telegram Group : https://t.me/+sJdStwuXskVhMTA1

GitHub Repository : https://github.com/anup-byte/Pandas_Bootcamp.git

Basics of Python Playlist :https://www.youtube.com/playlist?list=PLwgh2X5OpkOjpyYIfCH7jInYfezzdNuzl

Advance Python Playlist :https://www.youtube.com/playlist?list=PLwgh2X5OpkOgdbEk9GflKLZfd0WHyHoW9

Numpy Playlist :https://www.youtube.com/playlist?list=PLwgh2X5OpkOjAUBiImC0DDbaiVRHsLnEn

Basics of Git and GitHub Playlist :https://www.youtube.com/playlist?list=PLwgh2X5OpkOj9JOacMNOjHGdgAtMfR4sc


Embark on a data exploration journey with our latest tutorial on **Pandas in Python**! 🐼🔍 In this illuminating session, we've dived deep into Pandas Series, unraveling the secrets of handling missing data by dropping and filling NaN values. 🧩

📊 **Key Highlights:**
- **Descriptive Statistics:** Gain insights into your data with sum, mean, and median calculations in a Pandas Series.
- **Quantiles and Histograms:** Understand the distribution of your data using quantiles and visualize it with a histogram.
- **IQR (Inter Quartile Range):** Explore the spread of data with the Inter Quartile Range.
- **Statistical Metrics:** Calculate minimum, maximum, standard deviation, and variance of a Series.
- **The Describe Method:** Get a comprehensive overview of your data's statistical summary.
- **Mode, Value_counts, and Relative Frequency:** Uncover the most frequent values, their counts, and their relative frequencies in your Series.


Have questions or need further clarification? Drop us an email at [email protected]. Your learning journey just got more exciting! 🚀📈

#pandaspythontutorial #datamanipulation #pythonprogramming #aikipathshala #datascience #python #dataanalysis #pandasdataframe #numpy #descriptivestatistics