add pokemon analysis and pandas video

notes/week05/videos.md

@@ -80,11 +80,50 @@ Below are the assigned videos for this week.
 
 ## Optional Videos
 
+```{dropdown} Pandas in Data Science Tutorial
+    :class-container: sd-shadow-lg
+    :color: primary
+    :closed:
+
+Some of you have asked me for advanced Pandas tutorials for your own side-projects and other courses.
+Though much of this content is beyond the scope of this course, here is a nice video that I assign to students in one of my other data science courses that might be useful for you.
+
+Here is an outline of the timestamps of this video (clickable links in the [YouTube Video description](https://www.youtube.com/watch?v=vmEHCJofslg&feature=emb_title))
+
+- 0:00 - Why Pandas?
+- 1:46 - Installing Pandas
+- 2:03 - Getting the data used in this video
+- 3:50 - Loading the data into Pandas (CSVs, Excel, TXTs, etc.)
+- 8:49 - Reading Data (Getting Rows, Columns, Cells, Headers, etc.)
+- 13:10 - Iterate through each Row
+- 14:11 - Getting rows based on a specific condition
+- 15:47 - High Level description of your data (min, max, mean, std dev, etc.)
+- 16:24 - Sorting Values (Alphabetically, Numerically)
+- 18:19 - Making Changes to the DataFrame
+- 18:56 - Adding a column
+- 21:22 - Deleting a column
+- 22:14 - Summing Multiple Columns to Create new Column.
+- 24:14 - Rearranging columns
+- 28:06 - Saving our Data (CSV, Excel, TXT, etc.)
+- 31:47 - Filtering Data (based on multiple conditions)
+- 35:40 - Reset Index
+- 37:41 - Regex Filtering (filter based on textual patterns)
+- 43:08 - Conditional Changes
+- 47:57 - Aggregate Statistics using Groupby (Sum, Mean, Counting)
+- 54:53 - Working with large amounts of data (setting chunksize)
+
+You can download the [`pokemon.csv` dataset here](https://github.com/firasm/bits/raw/master/pokemon.csv) and [this notebook here](https://github.com/ubco-cmps/data301_course/raw/main/notes/week05/week05_pokemon.ipynb).
+
+<div class="container youtube">
+<iframe class="responsive-iframe" src="https://www.youtube-nocookie.com/embed/vmEHCJofslg" frameborder="0" allow="accelerometer; autoplay="0"; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
+</div>
+```
+
 
 ```{dropdown} 5. Seaborn
     :class-container: sd-shadow-lg
     :color: primary
-    :open:
+    :closed:
 
 You can see the associated [Jupyter Notebook here](https://firas.moosvi.com/courses/data301/2022_WT2/notes/week06/Class6B/Class6B.html)