October 2022
Beginner
46m
English
Overview
Data Science On Your First Day with Python
Be productive day one
This video course will show you how to start your first day as a data scientist. In this video course, you will learn how to start your first day as a data scientist.
Topics covered include: * creating a Github repository * using Colab notebook, * describing data using df.describe(), * plotting data with seaborn, lmplot, and distplot * comparing cumulative deaths in Covid19 plot by state * merging Pandas dataframe with election and Sugar Consumption * exporting CSV file and uploading to Github from Colab result * continuous integration of Jupyter Notebook with Github Actions * creating makefile, using Github Actions to test Jupyter via nbval plugin * using Github Status Badge for Jupyter Notebook test run pass/fail status
Key Moments: * 02:02 Data Science Project Structure Overview * 05:15 Create Github Repo * 07:28 Launch Github Codespaces * 11:34 Using Colab Notebook * 12:47 Using TOC in Colab Notebook * 14:43 Saving notebook to Colab to Github * 19:52 Ingesting CSV files into Colab * 22:31 Describing Data using df.describe() * 24:30 Plotting data with seaborn * 28:30 lmplot * 29:30 Comparing cumulative deaths in Covid19 plot by state * 32:40 Merging Pandas Dataframe with election and Sugar Consumption * 37:38 Exporting CSV file and uploading to Github from Colab result * 39:27 Continuous Integration of Jupyter Notebook with Github Actions * 40:44 Create Makefile * 44:32 Using Github Actions to test Jupyter via nbval plugin * 45:43 Using Github Status Badge for Jupyter Notebook test run pass
Learning Objectives
- Create a Github Repo and launch it in a Codespaces instance
- Create a Jupyter Notebook and save it to a Colab instance
- Ingest Data from a CSV file into a Jupyter Notebook
- Do EDA
- Build and test your data science project with Github Actions and nbval
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