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.
My install is saying 'Destination Folder' contains 2 spaces. This can cause problems with several Conda packages. Please consider removing spaces....? Anything requiring action?
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.
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.
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)
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!
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.
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.
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!
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.
@@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!
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 .
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')
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.
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.
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!!
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!
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!
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.
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.
@@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.
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.
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 !
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.
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)
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.
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.
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 :)
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!
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}
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...
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
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.
Shashank thank you so much for the awesome content, I am half way in the course but the words./numbers are hard to read bc the font size is really small. can u plz zoom your window next time?
@@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 ?
@@ShashankData I've just started after hearing great things about the course from other RU-vid channels. I doubt it would help someone at your level though as it's pretty basic imo.
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]
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.
A question , at some point in this video ( i lost the exact time where it was at ) you make a simple query and i already know some sql so i understood it but for someone that doesnt yet know it it might be hard to write a more complicated query in pandas and it made me realize that you explained that part on an extremely surface level is it like that with everything He/You explained in this video or was it just the query part coz i dont know if i should take this video with a grane of salt or not , anyhow i really appricate the that you took the time to make this video, great job
Hey Ritik thanks so much for checking out my course! My channel has a couple of case studies on it. Check out the “Day in the Life of a Data Analyst” videos.
