| 01_01.ipynb | 11.7 KB | ||
| 01_02.ipynb | 9.2 KB | ||
| 01_03.ipynb | 2.4 MB | ||
| 01_04.ipynb | 7.3 KB | ||
| 02_01.ipynb | 3.9 KB | ||
| 02_02.ipynb | 18.2 KB | ||
| 02_03.ipynb | 1.7 KB | ||
| 02_04.ipynb | 7 KB | ||
| 03_01.ipynb | 8.3 MB | ||
| 03_02.ipynb | 2.5 MB | ||
| 03_03.ipynb | 14.8 MB | ||
| 03_04.ipynb | 398.1 KB | ||
| 1. Basic charts in Plotly.mp4 | 15.2 MB | ||
| 1. Discover new tips and tricks for Python.mp4 | 4.3 MB | ||
| 1. Next steps and additional resources.mp4 | 1.5 MB | ||
| 1. Reading data with pandas.mp4 | 20.9 MB | ||
| 1. Working with JSON data.mp4 | 21.8 MB | ||
| 2. Inspecting DataFrames with pandas.mp4 | 9.3 MB | ||
| 2. Small multiples with Plotly.mp4 | 14.3 MB | ||
| 2. What you should know.mp4 | 381.8 KB | ||
| 2. Working with CSV files.mp4 | 7.6 MB | ||
| 3. Aggregating data with pandas.mp4 | 12.8 MB | ||
| 3. Using color in Plotly.mp4 | 12.3 MB | ||
| 3. Using the exercise files.mp4 | 3.1 MB | ||
| 3. Working with Parquet files.mp4 | 23.2 MB | ||
| 4. Exporting data with pandas.mp4 | 11.9 MB | ||
| 4. Finishing your data visualizations in Plotly.mp4 | 12.6 MB | ||
| 4. Reading data from GitHub API.mp4 | 13.7 MB | ||
| 4. Set up on Windows.mp4 | 6.4 MB | ||
| 5. Set up on Mac.mp4 | 4.9 MB | ||
| MonthlyProductSales.csv | 515.1 KB | ||
| MonthlyProductSales.parquet | 74.2 KB | ||
| MonthlySales.csv | 1 KB | ||
| anscombes-quartet-hier.csv | 512 B | ||
| anscombes-quartet.csv | 614.4 B | ||
| diamonds.csv | 2.6 MB | ||
| monthlySalesbyCategoryMultiple.json | 1.6 KB | ||
| mpg.csv | 15.7 KB | ||
| ▲ 38 total files | |||
Quote:
Course details
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.
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 143.8 MB | Nawel087 | 2 years | 1 | 1 | |
|
[LinkedIn Learning] Advance Your Skills in Python - Complete 7 Courses Posted by
SunRiseZone in Other
|
1.3 GB | SunRiseZone | 2 years | 10 | 1 |
| 336.5 MB | xHOBBiTx | 2 years | 9 | 1 | |
| 376.3 MB | freecoursewb | 2 years | 6 | 1 | |
|
Linkedin | Python For Data Engineering From Beginner To Advanced [FCO] Posted by
Prom3th3uS in Other
|
531.36 MB | Prom3th3uS | 2 years | 10 | 1 |
All Comments