Today's topic was Pandas which was wonderfully explained by Dr.Angelea Yu.

1. Use of .head(), .tail(), .shape, .columns to explore DataFrame
2. Looking for NaN values .findna() and .dropna()
3. Accessing the data within the DataFrame using df[column name]
4. The largest and smallest values, as well as their positions .max(), .idxmax()
5. Sorting and inserting new columns into the DataFrame using .sort_values() and .insert()
6. Grouping the values based on particular column using .groupby()

Exploring Data using the above mentioned topics. You can check out my project here.

To conclude, I would thank my instructor for being such a wonderful teacher for coming up with a beautiful course. I would like to thank MYSELF for being self-motivated throughout the lecture.

• For all those who can understand English in a fast pace and catch up what the instructor is trying to convey can choose to watch the video at 1.25x speed which reduces the watch time and meanwhile you can keep the remaining time for practice.