This repository contains all of the python code implementations for each topic in the course outline for data science 1
Course Outline: https://believed-bongo-319.notion.site/CCDATS1L-c4307320d22c43828f7a9c37b81623c7
| Folder Name | Topic |
|---|---|
| week_1 | Introduction to Data Science |
| week_2 | Python Containers (List, Set, Tuple, Dictionaries) |
| week_3 | Numpy, Pandas, SQLite |
| week_4 | Data Preprocessing and Wrangling Part 1: Cleaning Data, Transforming and Merging Data |
| week_5 | Data Preprocessing and Wrangling Part 2: Feature Scaling and Discretization |
| week_6-7 | Exploratory Data Analysis, Descriptive Statistics, Pivot Tables, Central Tendency |
| week_8 | Data Visualization |
| week_9 | Inferential Statistics and Correlation |
| week_10 | Test of Significance, Test of Difference and ANOVA |
| week_11 | Linear Regression and Logistic Regression |
| week_12 | Pipelining the complete Data Science process |