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Modern work in data science requires skilled professionals versed in analysis workflows and using powerful tools. Python can play an integral role in nearly every aspect of working with data—from ingest, to querying, to extracting and visualizing. In this course, instructor Ben Sullins highlights tips and tricks you can use right away to improve your skills in Python. Learn how to work with JSON data, CSV files, and Parquet files. Explore ways to read, inspect, and aggregate data using pandas. Plus, find out how to visualize data using basic charts, small multiples, and color in Plotly, as well as how to put the finishing touches on your data visualizations

Files (38)

1. Introduction/1. Discover new tips and tricks for Python.mp44.33 MiB
1. Introduction/2. What you should know.mp4381.83 KiB
1. Introduction/3. Using the exercise files.mp43.1 MiB
1. Introduction/4. Set up on Windows.mp46.45 MiB
1. Introduction/5. Set up on Mac.mp44.85 MiB
2. Ingesting Data/1. Working with JSON data.mp421.82 MiB
2. Ingesting Data/2. Working with CSV files.mp47.56 MiB
2. Ingesting Data/3. Working with Parquet files.mp423.22 MiB
2. Ingesting Data/4. Reading data from GitHub API.mp413.66 MiB
3. Exploring Data/1. Reading data with pandas.mp420.87 MiB
3. Exploring Data/2. Inspecting DataFrames with pandas.mp49.29 MiB
3. Exploring Data/3. Aggregating data with pandas.mp412.76 MiB
3. Exploring Data/4. Exporting data with pandas.mp411.93 MiB
4. Visualizing Data/1. Basic charts in Plotly.mp415.17 MiB
4. Visualizing Data/2. Small multiples with Plotly.mp414.26 MiB
4. Visualizing Data/3. Using color in Plotly.mp412.26 MiB
4. Visualizing Data/4. Finishing your data visualizations in Plotly.mp412.64 MiB
5. Conclusion/1. Next steps and additional resources.mp41.49 MiB
Exercise Files/01_01.ipynb11.66 KiB
Exercise Files/01_02.ipynb9.24 KiB
Exercise Files/01_03.ipynb2.38 MiB
Exercise Files/01_04.ipynb7.32 KiB
Exercise Files/02_01.ipynb3.87 KiB
Exercise Files/02_02.ipynb18.22 KiB
Exercise Files/02_03.ipynb1.73 KiB
Exercise Files/02_04.ipynb7.03 KiB
Exercise Files/03_01.ipynb8.3 MiB
Exercise Files/03_02.ipynb2.47 MiB
Exercise Files/03_03.ipynb14.8 MiB
Exercise Files/03_04.ipynb398.11 KiB
Exercise Files/data/MonthlyProductSales.csv515.06 KiB
Exercise Files/data/MonthlyProductSales.parquet74.24 KiB
Exercise Files/data/MonthlySales.csv1019 B
Exercise Files/data/anscombes-quartet-hier.csv496 B
Exercise Files/data/anscombes-quartet.csv607 B
Exercise Files/data/diamonds.csv2.64 MiB
Exercise Files/data/monthlySalesbyCategoryMultiple.json1.64 KiB
Exercise Files/data/mpg.csv15.67 KiB

Linkedin - Python For Data Science Tips Tricks And Techniques

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