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DS 1300

DS1300: A Practical Introduction to Data Science

Day 1

Introduction to High-Performance Computing
Using M3 for Class
Introduction to GitHub and Getting Setup

Day 2

Data Science Overview
Semester Project
Introduction to Python Programming

Day 3

The Pudding: Data Story Telling and Visualization
Working with Data
Introduction to Python Programming

Day 4

Data Ethics and Bias
Exploring and Cleaning a Data Set
Assignment: Working with Data

Day 5

Building Models with Data

Day 6

Dask Delayed
Dask Arrays
Dask DataFrames

Day 7

Inference
GeoPandas and Mapping in Python
Linear Regression and Temperature

Day 8

Data Visualization
Intermediate TextMining with Python
Data Visualization

Day 9

Optimization Introduction
Introduction to AI
Unsupervised Learning Example - Folktale Clustering
Supervised Deep Learning Example - Image Classification with the MNIST Dataset
Reinforcement Learning Example - Tic Tac Toe

Day 10

Art

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