Python for Data Analysts and Data Scientists

[@ShashankData]

Hey guys this comment will have any updates I need to communicate for this video: 1. Miniconda has released Python version 3.9

[@akashsaha1391]

Sir do you have any course for basic to advance in data analysis?

[@bigwolph6544]

hey sir, thank you for the tutorials. it is a big help. I tried to look for the Python for data analyst on the notion site but couldn't find it. I have problems with resizing. a lot of info is cut out of the page because it could not fit. I need to resize in notion before printing.

[@lamb8086]

2. Use .view() instead of .astype()

[@princeade009]

@@akashsaha1391 send c o ivooco

[@dimpdimp4298]

My install is saying 'Destination Folder' contains 2 spaces. This can cause problems with several Conda packages. Please consider removing spaces....? Anything requiring action?

[@andyau1684]

This guy is genuinely one of the few people where I can watch his stuff and not be bored and be able to retain everything I learned

[@arielchocobar9608]

I am in the middle of this video and it's awesome the wey he explains everything , making it so simple

[@IRONHIDEx10x10]

True

[@Inanjet]

FACTS BRUV

[@akmalhossain9159]

I just want to say, THANK YOU SO MUCH for being you and sharing such knowledge with us! Love you Man!

[@ShashankData]

Thank you for the kind words man!

[@jafrinajabin4438]

I love your videos. I learned SQL from your video and was able to nail SQL tech interview rounds just by watching your video. Now, I am here to learn python. Thank you for such great content Shashank.

[@shalinireddy-x1o]

Could you tell me the company which you attended the interview for

[@BakrAli10]

For anyone stuck at 2:12:14 with "TypeError: cannot astype a datetimelike from [datetime64[ns]] to [int32]", I faced the same issue and solved it by changing .astype(int) to astype('int64')

[@karthikpm9669]

or you can type .values.astype(int)

[@ivanbotica8729]

This stuff is amazing, but I'd like to present a suggestion. Sometimes, the text on screen is too small relative to screen size, so it's hard to make out some words. Not a huge problem, just a tweak that might help in the future.

[@ShashankData]

Thank you for the advice. You're totally right, I'll be sure to zoom in for my future videos

[@MaheshG-nw2sr]

@@ShashankData Thank You Shashank

[@nishadseeraj7034]

I'm so glad i found your channel mate. I am just breaking into data analysis and data science and you being an actual analyst going through the material the way you do is so helpful and enlightening. Can't wait to get started with the rest of your content.

[@lucashenrique7706]

hey bro, I wanted to thank you for this incredible video, and not only for this specific video, but for all your videos, the way you explain and show the reality of a data analyst, which is knowing how to look for/research what you need to be able to do the work, it makes me calmer, because I study a lot, but I'm afraid that when the time comes to work, I won't remember what I studied, but as you explained, it's knowing how to look in the documentation or forum behind how to do it, thank you very much!!! (sorry for my horrible english, i did it through the translator, i'm brazilian :D)

[@Starrthekid]

And again, he doesn't miss. Great stuff, keep it up!

[@agentslinky]

Awesome stuff!!!! Thank you for posting this. I'm starting my job as a data analyst next week and now feel more confident going in :)

[@riddlex]

I'm a data analyst myself and I found this video really good. Not to mention, I learned something new. Keep up the good work.

[@ShashankData]

Thank you Abhinav!

[@shubhamkhatri7905]

Hi abhinav, Is this enough python to get a job in analyst role?

[@riddlex]

@@shubhamkhatri7905it's enough for a beginner level DA.

[@Nixterrex]

I LOVE THIS! Keep these videos up an your channel will definetly grow. A lot of people look up real life data analysis, and I don't see enough of those videos. The way to teach and explain everything is clear and easy to remember and understand. You're amazing, thank you again! I finishing up my ITM degree, getting a degree in google data analytics (sadly learning R LOL) while getting some of my own personal projects done (paid or unpaid), and then soon, by next year, I'll be in the data analysis world! I'm so excited!

[@ShashankData]

Thanks Niko! And congratulations good luck! R is still an amazing language and I'm learning it currently because significant portions of my team use it.

[@Nixterrex]

@@ShashankData Thank you!

[@manojpatil2457]

This is the content I was looking for !! Tutorials just don't show the overall picture and what things to actually focus on. Thanks a ton, Shashank.

[@kamransadigli5549]

Hello Shashank, I did not watch the whole video, but I want to say that, thank you very much for sharing you knowledge with us, because there are a lot of tutorial videos or courses that do not cover the all thing that we need as a data analyst. However, you are sharing this knowledge with us just free. Thank u again .

[@yahyaabbas6705]

Hey mate randomly came across your channel and am loving the content. You mentioned that you graduated with a degree in chemistry and then got into data - I was wondering if you could maybe do a video on your journey and process on how you broke into the data analyst field. I am currently in that position and I believe this would be extremely valuable for not just me but for others in a similar situation. Thanks for sharing your knowledge man!

[@ShashankData]

Great idea old beef! I was thinking about that and I think i might want to start by asking people who are trying to break in what they're doing currently. I want to do something more than just talking about my specific journey if possible.

[@yahyaabbas6705]

@@ShashankData Honestly, that sounds like the better idea. Because each person's journey is unique, their approach on breaking in should be different. A video on breaking in strategies like this would be perfect!

[@gabbriboys]

At around 1:53:30 the reason why loc includes row with 5 is because loc is label based, iloc might work as expected since it is integer position based. I could be wrong of course. Great content as always!

[@thoras101]

You are an amazing teacher and that's not something everyone can do easily. Love the content keep up the good work!

[@PyroVK]

Great tutorial overall but I do have one feedback. The way you explained in 2:40:09 , where you showed the function and typed out the arguments first was effective. It really helped me understand what something does, and what I need to look for in order to perform the task.

[@kiranpradhan2806]

I couldn’t stop myself from dropping a comment. I am a civil engineer by profession and am learning data analysis out of my own personal interest. Have been looking into resources online but to be honest, i wasted a lot of my invaluable time watching shit and increasing views of useless you-tubers. Thankfully and finally landed on urs and its such a relief. M so happy that your video got recommended and m thrilled the way u are teaching the real and necessary and to the point stuffs on your channel. This type of content is what beginners look for. Realy, tour channel and tour content are both to the point and very unique. You earned a subscriber. I look forward to more of such practical videos which are immensely helpful. Cheers mate!

[@ShashankData]

Thank you so much for the kind words man! I hope to see you in the comment section of future videos

[@aritrakoley6022]

Thank you Shashank for coming up with this amazing video, have watched it 3-4 times already and already feel pretty good about my Python learning journey! Thanks again!!

[@musickmann]

Thanks for a great boot camp on just the stuff needed for data analysis. As someone who has used python off and on by googling what I need as I need it, this video has been super helpful in filling in the gaps and setting a much stronger stage for future work!

[@albertom4972]

i tried to run the code at 2:12:14 netflix["unix_time"] = netflix["computer_date"].astype(int) however i get the errror TypeError: cannot astype a datetimelike from [datetime64[ns]] to [int32]

[@tejithj33]

same here

[@dhikisatriawan5794]

samee. any solution?

[@BakrAli10]

I faced the same issue and solved it by changing .astype(int) to astype('int64')

[@marjanulislam4553]

Great indeed., Your way of explanation is really outstanding. one day your channel will be known to 100 of thousand of people all over the world. my humble request to you make a full course on data analyst by using the python library.

[@ShashankData]

Thank you so much 😀! I'll probably create modules that will pick up where this left off as time goes on. The point of this video was to help people get started and from there I'll make videos on specific subjects that are of interest to people.

[@BBBBBBAAAl]

WOW!, pure high quality content. Keep going and know that u have the genuine interest of a lot of people :)

[@ShashankData]

Thank you! Will do!

[@jlin74]

Thank you sooo much Shashank. I can't remember the last I was glued to the screen and learn for 2 plus hours until your video.

[@ShashankData]

Wow that mean so much Jlin, thank u! New video coming out at Sunday 12 MDT.

[@jlin74]

@@ShashankData Hi Shashank. How can I make the output of a data frame shorter, like what you were showing in the video with only top 5 rows & ... & bottom 5 rows? I'm using VS code too. Thanks in advance.

[@thandohanise2697]

So I have some programming knowledge, but not in python. And I actually watched the MonkeySurvey video first and I remember being so confused and lost and a lot of the functions... I was totally confused, yet impressed and motivated cause Its definitely something I'm excited to practice. But after watching this video, which actually isn't that long and it's quite an informative crash course... I actually have more confidence now to move forward in my journey of learning Pandas. Thank you Shashank, truly appreciate all your work you put in.

[@lakshaydeepmoun2104]

didn't watch complete till now. but after seeing what you provide really love it man. thanks for this.

[@PGhai]

Bhai, your profile looks interesting, started from non tech background, was watching your youTube video and Iron Analyst, I loveeeeeeeeeee itttttt

[@lyusin355]

Hello Shashank! Thank you a lot for sharing so valuable information in very plesant and interesting way! Just one tip for those who are running on miniconda 3.9_4.12.0: This statement netflix["unix_time"] = netflix["computer_date"].astype(int) throws a TypeError. Need to use this instead etflix["unix_time"] = netflix["computer_date"].astype(np.int64)

[@danishtrading4799]

You are providing all this for free I totally respect You Sir

[@lukeydzbecx8319]

I can already tell im going study this video 2 or 3 times at least, worth it for high qlty knowledge, and your pace makes it 10x more engaging.

[@tammy_Og]

Thank you so much Shashank, just started data analytics and i gained a lot of value from this!

[@ShashankData]

Thank you so much for watching Tammy! It’s comments like yours that inspire me to keep making videos

[@bomcimtube]

Thanks Shashank! You are really helping people out. A fellow chemist here, too.

[@ashfaqulislam7762]

I simply cannot thank you enough, Shashank! Hope we will meet one day!

[@FlyOnWall2]

Your videos are great, and exactly what I am looking for. Finishing up a SQL course on SoloLearn and then I'm back to this.

[@ShashankData]

Thanks for the support man! I hope you find the content useful

[@walternyc]

Great content. It would be nice to add in the description time stamps for the different topics so the listener can jump to an areas of interest.

[@ShashankData]

Great advice! I’ve gone ahead and done that for this video now.

[@sarim9574]

Hey Shashank, thanks for taking the time to make these tutorials, really love the fact you go into actual examples with to the point explanations without the fluff! I'm in the journey of a career change and your videos are helping a lot!

[@mayankverma7287]

watched many python tutorial videos for data analytics but this is the best one so far. Thanks shashank

[@robertomolteni7866]

I’m EXTREMELY THANKFUL for the dedication you put into these videos and the quality of the content. This is exactly what I needed, thank you so much for sharing with such detail.

[@IQuickscopeCA]

i can see you mentally breaking down over the course of the video explaining everything. I'm feeling the same doing it. its a vibe

[@khusbubishnoi5892]

Hi shashank, I was following along with the tutorial but I am getting a value error when I try to use the to_datetime( around 2:07:32). I have tried using it with format but it threw the same value error = time data " August 4, 2017" doesn't match format "%B %d, %Y", at position 218. Can anyone please help? this is what I wrote- netflix['computer_date'] = pd.to_datetime(netflix["date_added"]) netflix['computer_date']

[@Toxius]

im in the same boat :(

[@omerfarukademoglu7560]

netflix["computer_date"] = pd.to_datetime(netflix["date_added"],format='mixed') netflix["computer_date"] if you have some problems with datetime u can fix it by changing the format of your datetimes

[@aakrit4421]

computer_date=pd.to_datetime(netflix["date_added"], format="mixed") computer_date

[@zkio3141]

Great content, Shashank!!! You have a natural skill for this kind of stuff. Looking forward for more content!!

[@ShashankData]

Thanks man!

[@SplitSniper7]

Thank you for existing. I absolutely needed this.

[@arielchocobar9608]

WOW great video, I couldnt stop watching, I grasped every concept quickly, you really helped me make up my mind, this is what I want to do in my career. If I get a job by learning from your videos my first salart will be for you hahahah

[@muschunter9295]

Hey Shashank, i came across your channel while searching and i really like the way you express stuff. And i really enjoy watching your videos .Keep it going.

[@cyriactalus1865]

Hey shashank, superb content, really helping me get started in the data analytics field. minor suggestion if you plan on making videos like these in the future: using a larger font size would make these easier to follow, especially in the case of long videos like these. Thanks !

[@ShashankData]

Thank you so much for the suggestions! I’ll keep improving thank you

[@jeisonsanchez4842]

I’m 30 mins into this video and was about to post the same comment. Thanks for going over the initial setup process. I’ll have to switch over to a larger screen to follow the rest of the tutorial.

[@uttarangangopadhyay7714]

Great video Shashank! One tip: Please zoom into the code you're writing, it's difficult to see even in full screen on laptops.

[@laluthomas3167]

You are a 💎 I was stuck in doing python fundamental tutorials for long time, finally I am out of it.

[@meshell7987]

Great videos, thanks for sharing your experience! Would be happy to see more of it :)

[@ShashankData]

You got it!

[@RealThrillMedia]

Super helpful, love that you use Mac! #legend

[@mohammadshadabalam8604]

Many thanks for sharing such a knowledge with us. I am beginner and your amazing piece of work really made me easily understand the topic.

[@ronevers8770]

Thanks this helps alot! Keep up the good work! Will give you a follow and check up your (future) work!

[@mikaela6014]

i love your content! so fresh and straight to the point. it's truly helpful for people starting out their careers as data analysts. hope to see more in the future!

[@ShashankData]

Thanks Mikaela! Yeah that's the point, just get you what you need to know as fast as possible.

[@josecortes3512]

Very informative and direct explanation thanks

[@prabhatsunar829]

your content is so engaging shashank , nicely made.

[@georgezambrano5166]

This is exactly what I was looking for thank you so much!!!

[@danelleduardo1313]

Saved, just saw a couple of mins and it looks amazing.

[@ShashankData]

Thank you so much for checking out my videos Danell!

[@bulatshamsutdinov6323]

Your channel is a gem. Subscribed! I'm learning a lot as a person who is new to this.

[@ShashankData]

Welcome aboard!

[@JaveGeddes]

This looks like a great tutorial! Making a note to come back and watch on my computer, cuz it's not going to work on my phone..

[@under90seconds81]

Awesome Stuff bro, love what you do!

[@equiwave80]

Thanks for this video. It has inspired me to start learning Python and build up on it as an additional data skill.

[@jeksanjuan8659]

absolutely wonderful. This man needs more subs!

[@ShashankData]

Thank you so much Jek!

[@cyr3s88]

Thank you so much for the amazing content!

[@adityasingh-mi2vb]

Hi Shashank, hope you are doing well, just want to say I'm grateful for your effort, the courses you create & the guidance that you provide. Keep doing the great work !!!

[@samueleviola5437]

hey i dont know if you will see this but this is great! i have a question, can i install conda even if i have already installed python?

[@mollywelsh3897]

Fantastic content! Concise but well explained. Love the VScode environment, definitely switching to this for future use.

[@MaheshG-nw2sr]

Hey Shashank.. Such a great content. I am going through bunch of Udemy Courses (One is probably 140 Hours). You just sharing all the python after squeezing. Thank You So Much...

[@Anonymous-cw7nx]

This is really awesome .. thanks for sharing your videos ..

[@ShashankData]

My pleasure 😊

[@mikeajuobi927]

SIR YOU ARE AWESOME!!!!! KEEP UP THE GOOD WORK

[@ShashankData]

Thank you so much Mike :)

[@adriancittadini]

I can't create the unix time because: 'cannot astype a datetimelike from [datetime64[ns]] to [int32]'. Any idea how to resolve this?

[@haganshabba]

Same

[@BakrAli10]

I faced the same issue and solved it by changing .astype(int) to astype('int64')

[@varun1033]

I am stuck at 2:06:24 computer_date = pd.to_datetime(netflix["date_added"]) it's giving me an error called ValueError: time data " August 4, 2017" doesn't match format "%B %d, %Y", at position 218. Please help me.

[@varun1033]

passing a format='mixed' to the to_datetime method helped.

[@MrJxtr]

I thought I was th only one​ with this issue... thanks will try this@@varun1033

[@adarsha2164]

Great work ! I found it very helpful

[@watchingvideos9871]

Wow man thanks so much for this. Your channel is great.

[@ShashankData]

My pleasure!

[@dylancreeden2970]

Awesome video, please keep posting!

[@ShashankData]

Thanks Dylan! I'm glad you liked it

[@ahmadalmarri5953]

amazing stuff this is gold right here

[@ShashankData]

Thank you so much Ahmad! New video coming out at Sunday 12 MDT.

[@margolitapnina6716]

you are too precious ♥️ a natural teacher. Thanks { I did a python course at university/ Computer Science but felt a bit lost; want to understand what I need for data roles}

[@elwinmentaram6031]

Thanks so much for sharing this valuable lesson. This is exactly what I was looking for!!!! Would helped me tremendously in the field of data analyst

[@ShashankData]

Thanks Elwin! I’m glad to help

[@luisfernandocuestasanchez4343]

God bless you man , God bless you a million times for this Thanks a lot

[@ShashankData]

You're welcome!

[@IRONHIDEx10x10]

2:44:14 aren't you did pivot table for netflix dataset (not merged, I mean).🤔

[@lakshmiharikag2484]

Just wanted to chime in and say how great of a tutorial this is! you rock! Could you please make a tutorial on matplotlib and heatmaps if possible? Thanks a bunch for these!!!!

[@sateeshmeka6982]

Much useful content ..appreciate the efforts. One suggestion is why the fonts are in such miniature size. Been very difficult through to follow. Apart everything was great.

[@zaibakhanum203]

Splendid bro...

[@balajieem]

Shashank, Came across your video randomly, Great stuff! I was able to connect to your walk-through so easily. I sincerely appreciate your time & efforts in putting together this video and helping ppl like me. Keep it up! kudos :)

[@ShashankData]

Thank you so much Balaijee!

[@indranilmajumder7148]

I want to do what you do !! Teach me more sensei !! btw, you are a very smooth orator, fr keep up the good work !!

[@ShashankData]

Thanks so much man! I’m hoping to get an SQL course out at some point in time as well.m.

[@indranilmajumder7148]

@@ShashankData Point me right to it. I don't really have much IT skills, but am very interested to venture into this field. SQL is like for databases and stuff, right ?

[@karikukamau6771]

At 2:30:01 when I tried to sort by show_id, I got the following error 'function' object has no attribute 'sort_values'. How can I resolve this issue please?

[@karikukamau6771]

Never mind guys I was able to resolve the issue. You can see how I did it in this video kzbin.info/www/bejne/i6XEgIqKd6dkpac

[@teamsurvival6172]

great stuff bro you make my day.

[@saadhafeez9171]

I told my friends that youtuber like these are gift from god.

[@varun1033]

At 2:12:10, I got some of those unix_time values as negative. What could be the reason? Help

[@tejasnagpal844]

Thank you for this amazing tutorial , you really are an inspiration👏👏🙏🙏

[@MaxGrandin]

Thank you so much, man. These videos are amazing KEEP IT GOING! :D

[@salimsadman1332]

You are a GEM man. Keep up the good work brother 😎😎😎😍😍😍😍

[@scottnovak1085]

As a PHD statistician, I am very interested in learning how data scientists approach statistical questions. For instance, I see a lot of really good detail on data manipulation, cleaning, and display. But, there doesn't seem to be as much information on modeling assumptions, including violations and remedies. One of the main areas where I see almost no discussion on is how to address clustered data, such as when you are analyzing information within companies and each company as different stores or manufacturing sites. Without adjustment for the intra cluster correlation, the standard errors are overly biased in favor of the null. I love R and Python b/c they are free, but on the other hand, these programs take more time coding some of the canned or common procedures than SAS/Stata/SPSS/BUGs. Keep up the great work. I really enjoy your videos.

[@ShashankData]

You might enjoy the book "Practical Statistics for Data Scientists". I'm going through it on my channel now and the authors make a lot of mentions to how there is less rigor needed for checking certain model assumptions for Data Scientists because of the nature of their work. Chapter 3 is about hypothesis testing and goes over a lot of this.

[@gerryiobbi9025]

Really thank you for that :)

[@ShashankData]

You're welcome!

[@rosslewis7778]

Hey Shashank, really enjoying the course but I'm getting an error when trying to import the simple_csv.csv I've followed what's onscreen: pwd = os.getcwd() and then filepath = pwd + "\simple_csv.csv" but I get double backslashes in the filename and I'll be damned if I can figure out how to solve this 'c:\\Users\\Ross\\OneDrive\\Desktop\\Python Training\\Python for Data Analysts'. I'm completely new to Python so I don't know where to start to fix this.

[@nisithh24]

Love this content. 👍

[@knw-seeker6836]

Thanks for sharing this

[@huesito119]

Thanks you for all this content man, i am a beginner and it really help a lot also your a great professor

[@ShashankData]

I'm very glad to hear that Huesito!

[@badisd5305]

God bless you sir!

[@ytmunar]

That video is gold

[@Banana-u3f]

Thank you so so soooo much for this