coding-dojo-data-science / Online-DS-PT-01.24.22-cohort-notes

Full lecture materials for 01.24.22 cohort

Online-DS-PT-01-24-22-cohort-notes

Important Links

• 📺 Lecture Recordings Playlist
• 🗓 Stack 1 Schedule
• 🗓 Stack 2 Schedule
• 🗓 Stack 3 Schedule
• 🗓Stack 4 Schedule
  • Python Installation Instructions
    • Instructions for Removing Your Environment (if you need to reinstall it) (See the "APPENDIX" section)
    • 🐍 Environment Setup REPO (No login required)

Post-Graduation Resources:

• Post Graduation Resources Spreadsheet
  • Suggested material to read/watch/review after graduation.
• README Template for Your Projects
• Added exported Discord channel chats in PostGraduation folder.

Links Shared in PDF Slides

• Currently only includes links that were displayed with the full URL, not links with different display text.

	Week	Lecture	Title	Links
0	Week_01	Lecture_01	01.24.22 Week 1, Lecture 1 - Python for Data Science.pdf	https://login.codingdojo.com/
1	Week_01	Lecture_01	01.24.22 Week 1, Lecture 1 - Python for Data Science.pdf	https://bit.ly/32k7fwU
2	Week_01	Lecture_01	01.24.22 Week 1, Lecture 1 - Python for Data Science.pdf	https://commons.wikimedia.org/wiki/File:Six-handed_500_playing_cards.jpg
3	Week_01	Lecture_02	01.24.22 Week 1, Lecture 2_ Loading Data.pdf	https://github.com/sensei-jirving/code-reviews-week-1-python-basics
4	Week_02	Lecture_01	01.24.22 Week 2, Day 1_ Pandas .pdf	nan
5	Week_02	Lecture_02	01.24.22 Week 2, Day 2 Data Cleaning - Final.pdf	https://bookdown.org/ejvanholm/Textbook/displaying-data.html
6	Week_03	Lecture_01	01.24.22 Week 3 Day 1_ Clean and Univariate Exploration (1).pdf
7	Week_03	Lecture_02	01.24.22 Week 3 Day 2_ Multivariate Exploration.pdf	https://github.com/sensei-jirving/Online-DS-PT-01.24.22-cohort-notes
8	Week_03	Lecture_02	01.24.22 Week 3 Day 2_ Multivariate Exploration.pdf	https://stackoverflow.com/questions/19966018/pandas-filling-missing-values-by-mean-in-each-group
9	Week_03	Lecture_02	01.24.22 Week 3 Day 2_ Multivariate Exploration.pdf	https://mstranslate.com.au/correlation-vs-causation/
10	Week_03	Lecture_02	01.24.22 Week 3 Day 2_ Multivariate Exploration.pdf	https://login.codingdojo.com/exams
11	Week_04	Lecture_01	Week 4 Day 1_ Viz Best Practices.pdf	https://www.python-graph-gallery.com/
12	Week_04	Lecture_01	Week 4 Day 1_ Viz Best Practices.pdf	https://seaborn.pydata.org/examples/index.html
13	Week_04	Lecture_01	Week 4 Day 1_ Viz Best Practices.pdf	https://matplotlib.org/stable/gallery/index.html
14	Week_04	Lecture_01	Week 4 Day 1_ Viz Best Practices.pdf	https://datavizproject.com/
15	Week_05	Lecture_01	Week 5 Day 1_ ML and Model Validation.pdf
16	Week_05	Lecture_02	1.24 Week 5 Day 2_ Categorical Variables and Intro to ML.pdf
17	Week_06	Lecture_01	Week 6 Day 1_ Regression Metrics.pdf
18	Week_06	Lecture_02	Week 6 Day 2_ Bias_Variance and Regression Practice.pdf
19	Week_07	Lecture_01	Week 7 Day 1_ Classification.pdf
20	Week_07	Lecture_02	PT DS Week 7 Day 2_ GridSearchCV and Pipelines.pdf
21	Week_08	Lecture_01	Week 8 Day 1_ Logistic Regression and ROC.pdf
22	Week_08	Lecture_02	Week 8 Day 2 Gradient Boosting.pdf
23	Week_09	Lecture_01	01.24 Week 9 Day 1 _ Data Analysis with Clustering.pptx.pdf
24	Week_09	Lecture_02	01.24 PT DS Week 9 Day 2_ Clustering for Supervised Learning.pptx.pdf
26	Week_13	Lecture_01	Wk13-L01 Intro to MySQL.pdf	https://github.com/coding-dojo-data-science/data-enrichment-wk13-l01-activity
27	Week_13	Lecture_02	Wk-13-L02 Database Admin.pdf	databasestar.com
28	Week_13	Lecture_02	Wk-13-L02 Database Admin.pdf	https://sqlzoo.net/wiki/SQL_Tutorial
30	Week_14	Lecture_01	Wk 14-L01 - JSON & APIS.pdf	https://github.com/coding-dojo-data-science/data-enrichment-wk14-l01-json-activity
31	Week_14	Lecture_01	Wk 14-L01 - JSON & APIS.pdf	https://github.com/coding-dojo-data-science/data-enrichment-wk14-mapping-yelp-results
32	Week_15	Lecture_01	Wk 15-L01 - Mock Belt Exam.pdf	https://github.com/coding-dojo-data-science/data-enrichment-mock-belt-exam
33	Week_15	Lecture_01	Wk 15-L01 - Mock Belt Exam.pdf	github.com
34	Week_15	Lecture_02	Wk 15-L02 - Hypothesis Testing with Python.pdf	https://login.codingdojo.com/m/376/12528/88194
35	Week_15	Lecture_02	Wk 15-L02 - Hypothesis Testing with Python.pdf	https://github.com/coding-dojo-data-science/data-enrichment-mock-belt-exam
36	Week_15	Lecture_02	Wk 15-L02 - Hypothesis Testing with Python.pdf	https://forms.gle/bUxX4rznSEkpgaPR9
37	Week_15	Lecture_02	Wk 15-L02 - Hypothesis Testing with Python.pdf	https://github.com/coding-dojo-data-science/data-enrichment-hypothesis-testing-codealong
39	Week_16	Lecture_01	Wk 16-L01 - Linear Regression - Revisited.pdf	https://github.com/coding-dojo-data-science/data-enrichment-linear-regression-with-movies
40	Week_16	Lecture_02	Wk 16-L02 - Diagnosing and Interpreting Linear Regression.pdf	https://github.com/sensei-jirving/Online-DS-PT-01.24.22-cohort-notes
41	Week_16	Lecture_02	Wk 16-L02 - Diagnosing and Interpreting Linear Regression.pdf	https://github.com/coding-dojo-data-science/data-enrichment-linear-regression-with-movies
42	Week_16	Lecture_02	Wk 16-L02 - Diagnosing and Interpreting Linear Regression.pdf	https://youtube.com/playlist?list=PLmeeqPbYmMC0XlmuN4agv0zvuAXP8HZS_
43	Week_16	Lecture_02	Wk 16-L02 - Diagnosing and Interpreting Linear Regression.pdf	https://www.geeksforgeeks.org/detecting-multicollinear
44	Week_16	Lecture_02	Wk 16-L02 - Diagnosing and Interpreting Linear Regression.pdf	https://login.codingdojo.com/dashboard/end-stack-survey

Tips and Tricks

Pandas pd.read_excel error.

• If you get an error message that mentions openpyxl when you attempt to to run pd.read_excel:
  • Add this line of code at the very beginning of your notebook (before import pandas) and restart your kernel.
  • Menu Bar > Runtime > Restart Runtime

!pip install openpyxl==3.0.0