If Else Statements in Python | Python for Beginners

Wow. You're better than advanced Google analytics videos. To the point and without pleasantries

😁Thank you Alex.

Thank 🙏🏻you

Alex pls add stata software videos to the playlist

Hi, Alex. Thanks for sharing your knowledge.
is that all we need in python?

or do we need to learn about "Class" and etc etc?

Thanks a lot for your effort,
I got a question, why do we use the elif statement I mean we can use the if statement all the time like if we wanted to make a multiple if statements and it's gonna run if it's true, hope you get me,
wish you the best

How can I use these statements with a Pandas dataframe?

Moving ahead
left one more video and finish your beautiful course

Hello Alex, I am a new subscriber here , I have watch two of your videos on how to change career, I’m interested to be a data analyst, I’m a graduate of another field Adult Education, please I would like you to help me in this my journey of data analyst, what I need to learn from the start, I really do not have any clue of it, please if you don’t mind to tell me step to step of things I need to do
Thanks.

I’m 22 and I’m in Houston. I am a chemical lab tech and a realtor, but I start classes next week to become a data analyst so I can do that And focus on real estate. I am taking the data analytics essentials program offered by The university of Texas Austin Mcombs business school program. ( 3 months)

Make a playlist, please.

Short, clear concise, easy to understand for every person who wants to get into programming quickly. I wish more vids like this were on the internet. So many python tuts series on YT - this is the one to watch! Honestly, no remarks, here! Well done!!!! Excellent!

Hi sorry for digressing a bit

I am currently analysing an employees layoff dataset available on kaggle. It has 1574 records and 9 columns, one of the columns name "Total_laid_off" (how many employees were laid off from the organisation,datatype: Int), it has 442 records with missing values. what should I do in this case to treat the missing values? should I replace them with median value or shall I drop missing values from the dataset?
I have a similar question for another column name "percentage of employees laid off" (percentage of employees fired out of the total workforce). in this case, also shall I replace 552 missing values with the median percentage value?
What could be the best course of action?
I personally thought I should replace the missing values with median values because dropping so many rows would result in a good amount of loss of information.

No Sales Pitch at the end? LOL. Thank you! Just getting into Learning Python, this was quite helpful!

My class just covered these yesterday! Great timing Alex. May I suggest a loops video next?

I just started learning python and I’ve been enjoying these videos.

Awesome Sir. Your teachings are really good.