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Repo For 2024 DS Intro Level

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# ds-class-intro

Welcome to the intro-level DS class, where we will learn about python basics and how to use python for exploratory data analysis. Hope you'll enjoy the class and learn something from it.

### 0. Get started - 
If you can, try to go throug the following reading and set up your local environment before class:

- [Anaconda set up](https://github.com/DS-XL/ds_intro_2024/blob/master/python_basics/class01/Anaconda_setup.md) 
- [Git introduction](https://github.com/DS-XL/ds_intro_2024/blob/master/python_basics/class01/git_setup.md)
- [Set up you forked repo for commit and push + Homework submisstion instructions](https://github.com/DS-XL/ds_intro_2024/blob/master/Git-setup-and-hw-instruction.md)

**Note:** If you're getting the following error while cloning or pushing to GitHub, try to set up PAT following [this instruction](https://docs.github.com/en/github/authenticating-to-github/keeping-your-account-and-data-secure/creating-a-personal-access-token#creating-a-token).

*Error message:*
`remote: Support for password authentication was removed on August 13, 2021. Please use a personal access token instead.`

`remote: Please see https://github.blog/2020-12-15-token-authentication-requirements-for-git-operations/ for more information.`

`fatal: unable to access 'https://github.com/DS-XL/ds-intro-class-2022.git/': The requested URL returned error: 403`

### 1. Python basics
You can run python in different settings, for example, you can use `jupyter` notebook for interactive exploration, use interpreter in command line by typing `python` in terminal (you'll see `>>>` prompt appear), or run python script in command line by `python <your_script>.py`. We will be using notebooks for the class as it's easy to follow with [markdown](https://guides.github.com/features/mastering-markdown/) and easy to interact with.

[class01](https://github.com/DS-XL/ds_intro_2024/tree/master/python_basics/class01):

0.0 Introduction + Setting expectations for the class
	0.1 Environment set-up (material in section 0)
	0.2 Git quick intro

[class02](https://github.com/DS-XL/ds_intro_2024/tree/master/python_basics/class01):

1. Assign values to variables and simple arithmetics
	2. `Print` and simple string manipulation

[class03](https://github.com/DS-XL/ds_intro_2024/tree/master/python_basics/class01):

3. Value comparison and conditions using `if-elif-else`
	4. Collections: list, tuple, set, and dictionary
	*  HW01

[class04](https://github.com/DS-XL/ds_intro_2024/tree/master/python_basics/class02):

*  Git - Cloning, Committing, Pushing, and Pull Request
	5. Iteration: loops and comprehensions
	6. Writing functions

[class05](https://github.com/DS-XL/ds_intro_2024/tree/master/python_basics/class03)

6. Writing functions (cont'd)
	7. Reading and writing files

[class06](https://github.com/DS-XL/ds_intro_2024/tree/master/python_basics/class04)

7. Reading and writing files (cont'd)
	8. Intro to code complexity and performance (high level)
	9. Coding challenge example using HackerRank and LeetCode
	* [kick off] Intro to Pandas

[class07](https://github.com/DS-XL/ds_intro_2024/blob/main/pandas_intro/)

1. Data exploration: Intro to `pandas` 
	2. Data wrangling basics

[class08](https://github.com/DS-XL/ds_intro_2024/blob/main/pandas_intro/)

2. Data wrangling basics
	3. Using `pandas` for EDA(exploratory data analysis)

[class09](https://github.com/DS-XL/ds_intro_2024/blob/main/pandas_intro/)

3. Using `pandas` for EDA(exploratory data analysis)
	4. Plotting in python

[class10](https://github.com/DS-XL/ds_intro_2024/blob/main/pandas_intro/)

4. Plotting in python, EDA example
	5. [Advanced EDA topics] -- if time permits
	6. Mock take-home case study

### 3. Time Series

[class1](https://github.com/DS-XL/ds_intro_2024/tree/main/time%20series%20class/class1):

Time Series Data Introduction and Analysis

[class2](https://github.com/DS-XL/ds_intro_2024/tree/main/time%20series%20class/class2)):

Time Series Data Wrangling

[class3](https://github.com/DS-XL/ds_intro_2024/tree/main/time%20series%20class/class3)):

Traditional Time Series Models

[class4](https://github.com/DS-XL/ds_intro_2024/tree/main/time%20series%20class/class4)):

Advanced Time Series Models

[class5](https://github.com/DS-XL/ds_intro_2024/tree/main/time%20series%20class/class5))

Time Series Model Cross Validation and Hyperparameter Tuning.

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