Click on Pin (top-right hand side)
-To see list of all pinned messages.
-For easy navigation

Module 1 - Introduction to Data Science
Module 2 - Introduction to Python
Module 3 - Pandas
Module 4 - Merging Data Frames with Pandas

Module 5 - Introduction to Data Visualisation Using Matplotlib
https://t.me/c/1454674396/8

Module 6 - Data Visualization with Seaborn
https://t.me/c/1454674396/61

Module 7 - Descriptive Statistics with Python
https://t.me/c/1454674396/106

Module 8 - Inferential Statistics with Python
https://t.me/c/1454674396/129

Module 9 - Feature Engineering
Module 9.5 - Exploratory Data Analysis
Module 10 - Machine Learning for Everyone
Module 11 - Supervised Learning with scikit-learn
Module 12 - Machine Learning with Tree-Based Models in Python
Module 12.5 - Extreme Gradient Boosting with XGBoost
Module 13 - Dimensionality Reduction and Unsupervised Learning
Module 14 - Machine Learning for Time Series Data

————————————————
—— —— #MODULE7 ————
————————————————
👇Descriptive Statistics with Python👇

1.Interpreting Data Using Descriptive Statistics with Python Introduction

2. Measure of central tendency , mean median mode

3. Exercise Mean median mode

4. Measures of Dispersion & Understandaing Variance

5. Exercise computing IQR, Variance and STD

6. Gaussian Normal Distribution

7. Confidence Intervals

8. Skewness and kurtosis

9. Exercise Skewness and kurtosis