| 00.Course-Overview.mp4 | 2.7 MB | ||
| 00.Course-Overview.mp4.srt | 1.8 KB | ||
| 00.How-This-Course-Is-Structured.mp4 | 2.4 MB | ||
| 00.How-This-Course-Is-Structured.mp4.srt | 3 KB | ||
| 00.Installing-Libraries-Through-Anaconda.mp4 | 6.4 MB | ||
| 00.Installing-Libraries-Through-Anaconda.mp4.srt | 3.5 KB | ||
| 00.Introduction-to-Data-Aggregation-and-Sampling.mp4 | 7.3 MB | ||
| 00.Introduction-to-Data-Aggregation-and-Sampling.mp4.srt | 5.9 KB | ||
| 00.Whats-the-Richest-Country-in-the-World.mp4 | 16.6 MB | ||
| 00.Whats-the-Richest-Country-in-the-World.mp4.srt | 10.1 KB | ||
| 00.When-to-Use-Bar-Graphs.mp4 | 4.7 MB | ||
| 00.When-to-Use-Bar-Graphs.mp4.srt | 3.2 KB | ||
| 00.When-to-Use-Histograms.mp4 | 4.1 MB | ||
| 00.When-to-Use-Histograms.mp4.srt | 3.6 KB | ||
| 00.When-to-Use-Line-Charts--Time-Series.mp4 | 4.4 MB | ||
| 00.When-to-Use-Line-Charts--Time-Series.mp4.srt | 5.3 KB | ||
| 00.When-to-Use-Scatter-Plots.mp4 | 6.1 MB | ||
| 00.When-to-Use-Scatter-Plots.mp4.srt | 3.5 KB | ||
| 01.A-Data-Aggregation-Example-with-Python.mp4 | 12.8 MB | ||
| 01.A-Data-Aggregation-Example-with-Python.mp4.srt | 8.1 KB | ||
| 01.Creating-Bar-Graphs-with-Matplotlib.mp4 | 10.6 MB | ||
| 01.Creating-Bar-Graphs-with-Matplotlib.mp4.srt | 5.1 KB | ||
| 01.Creating-Histograms-with-Matplotlib.mp4 | 17.8 MB | ||
| 01.Creating-Histograms-with-Matplotlib.mp4.srt | 9.4 KB | ||
| 01.Creating-Line-Charts-with-Matplotlib.mp4 | 15.1 MB | ||
| 01.Creating-Line-Charts-with-Matplotlib.mp4.srt | 7.6 KB | ||
| 01.Creating-Scatter-Plots-with-Matplotlib.mp4 | 29.1 MB | ||
| 01.Creating-Scatter-Plots-with-Matplotlib.mp4.srt | 14.2 KB | ||
| 01.Solve-Your-Own-Problems.mp4 | 754 KB | ||
| 01.Solve-Your-Own-Problems.mp4.srt | 1.1 KB | ||
| 01.Using-Jupyter-for-the-First-Time.mp4 | 8 MB | ||
| 01.Using-Jupyter-for-the-First-Time.mp4.srt | 5.3 KB | ||
| 01.Why-Data-Visualization.mp4.srt | 1.4 KB | ||
| 02.A-Random-Sampling-Example-with-Python.mp4 | 7.5 MB | ||
| 02.A-Random-Sampling-Example-with-Python.mp4.srt | 4.9 KB | ||
| 02.Conclusion-and-the-Journey-from-Here.mp4 | 981.7 KB | ||
| 02.Conclusion-and-the-Journey-from-Here.mp4.srt | 1.5 KB | ||
| 02.Practice-Problem-1---Histograms.mp4 | 8.6 MB | ||
| 02.Practice-Problem-1---Histograms.mp4.srt | 4.8 KB | ||
| 02.Practice-Problem-2---Line-Charts--Time-Series.mp4 | 7.6 MB | ||
| 02.Practice-Problem-2---Line-Charts--Time-Series.mp4.srt | 3.9 KB | ||
| 02.Practice-Problem-3---Scatter-Plots.mp4 | 9.7 MB | ||
| 02.Practice-Problem-3---Scatter-Plots.mp4.srt | 4.7 KB | ||
| 02.Practice-Problem-4---Bar-Graphs.mp4 | 12 MB | ||
| 02.Practice-Problem-4---Bar-Graphs.mp4.srt | 6.7 KB | ||
| 02.Using-Matplotlib-for-the-First-Time.mp4 | 6.9 MB | ||
| 02.Using-Matplotlib-for-the-First-Time.mp4.srt | 4.4 KB | ||
| 02.Why-Python.mp4 | 1.2 MB | ||
| 02.Why-Python.mp4.srt | 1 KB | ||
| 03.Using-Pandas-for-the-First-Time.mp4 | 8.1 MB | ||
| 03.Using-Pandas-for-the-First-Time.mp4.srt | 5.3 KB | ||
| 03.Who-Is-This-Course-For.mp4 | 970.9 KB | ||
| 03.Who-Is-This-Course-For.mp4.srt | 1.2 KB | ||
| 04.Importing-Data-with-Pandas.mp4 | 6.2 MB | ||
| 04.Importing-Data-with-Pandas.mp4.srt | 3.4 KB | ||
| [Discuss.FreeTutorials.us].url | 204.8 B | ||
| [FreeCoursesOnline.Us].url | 102.4 B | ||
| [FreeTutorials.Us].url | 102.4 B | ||
| clips-info.json | 819.2 B | ||
| course-info.json | 1.5 KB | ||
| image.jpg?042148 | 154.5 KB | ||
| module-info.json | 307.2 B | ||
| ▲ 78 total files | |||
[PLURALSIGHT] INTRODUCTION TO DATA VISUALIZATION WITH PYTHON [FCO]
“ReleaseDate“: “2017-07-27T00:00:00Z”,
“UpdatedDate“: “2017-07-27T00:00:00Z”,
“Level“: “Intermediate”,
“ShortDescription“: “Data visualization is often the first step in any type of data analysis. This course will teach you several essential data visualization techniques, when to use them, and how to implement them with Python and Matplotlib.”,
“Description“: “At the core of data science and data analytics is a thorough knowledge of data visualization. In this course, Introduction to Data Visualization with Python, you’ll learn how to use several essential data visualization techniques to answer real-world questions. First, you’ll explore techniques including scatter plots. Next, you’ll discover line charts and time series. Finally, you’ll learn what to do when your data is too big. When you’re finished with this course, you’ll have a foundational knowledge of data visualization that will help you as you move forward to analyze your own data.”,
For More Udemy Free Courses >>> http://www.freetutorials.us
For more PLURALSIGHT and other Courses >>> https://www.freecoursesonline.me/
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