DataScience_Intro_python

This is a free ebook for the course Data Science 1 with Python (STAT303-1), offered by the Department of Statistics and Data Science at Northwestern University

Name		Name	Last commit message	Last commit date
Latest commit History 344 Commits
.github/workflows		.github/workflows
.ipynb_checkpoints		.ipynb_checkpoints
.quarto		.quarto
Datasets		Datasets
In_class_exercise1_files/libs		In_class_exercise1_files/libs
_book		_book
test_file_files/libs		test_file_files/libs
.gitignore		.gitignore
Assignment 1 (Reading data).ipynb		Assignment 1 (Reading data).ipynb
Assignment 2 (NumPy).ipynb		Assignment 2 (NumPy).ipynb
Assignment 3 (Pandas).ipynb		Assignment 3 (Pandas).ipynb
Assignment 4 (Data Visualization).ipynb		Assignment 4 (Data Visualization).ipynb
Assignment 5 (Data cleaning and preparation).ipynb		Assignment 5 (Data cleaning and preparation).ipynb
Assignment 6 (Data wrangling).ipynb		Assignment 6 (Data wrangling).ipynb
Assignment 7 (Data aggregation).ipynb		Assignment 7 (Data aggregation).ipynb
Assignment A.ipynb		Assignment A.ipynb
Assignment B.ipynb		Assignment B.ipynb
Assignment C.ipynb		Assignment C.ipynb
Assignment D.ipynb		Assignment D.ipynb
Assignment E.ipynb		Assignment E.ipynb
Assignment F.ipynb		Assignment F.ipynb
Assignment G.ipynb		Assignment G.ipynb
Data aggregation inclass.ipynb		Data aggregation inclass.ipynb
Data aggregation.ipynb		Data aggregation.ipynb
Data cleaning and preparation.ipynb		Data cleaning and preparation.ipynb
Data visualization.ipynb		Data visualization.ipynb
Data wrangling.ipynb		Data wrangling.ipynb
Datasets.ipynb		Datasets.ipynb
In_class_exercise1.html		In_class_exercise1.html
In_class_exercise1.ipynb		In_class_exercise1.ipynb
Introduction to Python and Jupyter Notebooks.ipynb		Introduction to Python and Jupyter Notebooks.ipynb
LICENSE.txt		LICENSE.txt
NU_Stat_logo.png		NU_Stat_logo.png
NumPy.ipynb		NumPy.ipynb
Pandas.ipynb		Pandas.ipynb
README.md		README.md
Reading data.ipynb		Reading data.ipynb
Untitled.ipynb		Untitled.ipynb
Untitled1.ipynb		Untitled1.ipynb
Untitled2.ipynb		Untitled2.ipynb
Untitled3.ipynb		Untitled3.ipynb
Untitled4.ipynb		Untitled4.ipynb
_quarto.yml		_quarto.yml
authors.jpg		authors.jpg
chck.csv		chck.csv
co.csv		co.csv
coords.csv		coords.csv
cover.png		cover.png
data_structures-Copy1.ipynb		data_structures-Copy1.ipynb
data_structures.ipynb		data_structures.ipynb
datatypes.png		datatypes.png
dpop.csv		dpop.csv
ds_image.jpg		ds_image.jpg
inClass_Data wrangling.ipynb		inClass_Data wrangling.ipynb
index.qmd		index.qmd
intro.qmd		intro.qmd
movie_data.json		movie_data.json
movie_ratings.csv		movie_ratings.csv
movies_sample_data.csv		movies_sample_data.csv
party_edited.csv		party_edited.csv
quarto_yml_file_Fall_2022.txt		quarto_yml_file_Fall_2022.txt
questions_test - Copy.json		questions_test - Copy.json
references.bib		references.bib
references.qmd		references.qmd
requirements.txt		requirements.txt
rough.ipynb		rough.ipynb
spotify_data.csv		spotify_data.csv
spotify_text.txt		spotify_text.txt
student_solutions-Copy1.ipynb		student_solutions-Copy1.ipynb
student_solutions.ipynb		student_solutions.ipynb
summary.qmd		summary.qmd
test_file.html		test_file.html
test_file.ipynb		test_file.ipynb
test_file.pdf		test_file.pdf
text.txt		text.txt
welcome.ipynb		welcome.ipynb
wordle.txt		wordle.txt

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