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In this video we are going to see the basics of Data Visualization . These are the fundamentals of Data Visualization and essential trainings. we will see more and more in upcoming videos.
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//Chapters and time splits
00:00:00-00:01:03 Effectively present data with Python
00:01:04-00:01:36 What you should know before you start
00:01:37-00:02:37 Value of data visualization
00:02:38-00:06:00 Why use a programming language?
00:06:01-00:07:46 Overview of Jupyter Notebooks
00:07:47-00:08:38 Introduction to pandas
00:08:39-00:12:28 Create sample data
00:12:29-00:14:45 Load sample data
00:14:46-00:16:42 Basic operations
00:16:43-00:20:54 Slicing
00:20:55-00:26:33 Filtering
00:26:34-00:29:49 Renaming and deleting columns
00:29:50-00:32:28 Aggregate functions
00:32:29-00:36:09 Identifying missing data
00:36:10-00:41:12 Removing or filling in missing data
00:41:13-00:42:27 Convert pandas DataFrames to NumPy arrays or dictionaries
00:42:28-00:43:55 Export pandas DataFrames to CSV and Excel files
00:43:56-00:47:51 Basic of Matplotlib
00:47:52-00:49:43 Setting marker type and colors
00:49:44-00:51:50 MATLAB-style vs object syntax
00:51:51-00:56:11 Setting titles, labels and limits
00:56:12-00:58:37 Grids
00:58:38-01:00:02 Legends
01:00:03-01:02:30 Saving plots to files
01:02:31-01:07:36 Matplotlib wrappers(pandas and Seaborn)
01:07:37-01:11:36 Heatmaps
01:11:37-01:15:14 Histograms
01:15:15-01:20:06 Subplots
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