How I'd Learn PYTHON For DATA ANALYSIS | If I Had To Start Over Again
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- Опубликовано: 6 июн 2024
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┋Timestamps┋
00:00 Why Python?
01:41 How I failed at learning Python for Data Analysis
04:07 How I actually learned Python - Basics
05:48 NumPy
06:51 Pandas
08:51 Matplotlib and Seaborn
11:08 Outro
Thanks so much for taking a little time out of your day to watch this!
Finally someone who doesn't say that Python is easy to learn... I'm sick of all those who forgot they had difficulties learning it 😂
Haha it definitely wasn't easy for me. I'm not a tech prodigy who started coding when they were 5 😁
@@mo-chen Me neither 😅 I learnt SQL, DAX and PowerBI on the go, just because I encountered real business problems that needed those tools.
@@original12310That's exactly how it went for me too. I had 3-4 false starts in python before I started to make sense of it. I almost had to work backwards from some code I copied and pasted for it to start clicking.
No one says it's easy. It's just easier comparing to some older languages. Try C first and then Python you will feel relief.
@@SolidSnake59 yes, a lot of people have writtent Python is easy. Maybe it's a mistake the way they wrote that. But still, it's written and said.
That was really helpful. You explained the very important data analysis basics pretty well! Appreciate your work :)
Thanks a lot for watching 😃
I like your honesty in describing the nature of data science with python. It also relates to those who struggles with learning the data science especially those who just started in the industry.
I graduated discovering how essential these programming languages are and I am honestly furious my finance program had absolutely no classes on these subjects or even mentioned how important they would be to our career.
I know... I. was able to do everything in theory but not much in practice 😅
Indeed. I graduated with a bachelor in economics and a master in Finance. I learned to use STATA pretty well and the theory, but absolutely no Excel skills or programing. I feel like I don't really know any useful skills, so I desperately try to learn some Python and some Excel right now to complement my education. It is actually a joke that you spend 5 years at uni and don't get to learn any practical skills relevant for your field, almost feels like I wasted 5 years of my life.
I have seen a bunch of job applications requiring high levels of python, R or Excel skills but I have never seen STATA yet that was the main tool we used at my uni.
I used Stata for my master's thesis. Never used it afterwards, never seen it in job ads. I didn't learn Excel, Power BI and other tools only after starting to work and encounter real business problems. The only issue is to get a job where you can flourish and learn these tools. I am quite empty handed to help you there... if you have the time and the energy, learn by yourself with exercises and real life projects that have a meaning to you (either personal or professional).
@@Skumtomten1my background is economics and mathematics, and I work as a SAS programmer in the pharma industry.
The math degree got me the interview but didn't require any programming. The econ degree did require a fair bit of R for econometrics. I wouldn't have been hired without that.
My university contacted me for feedback a few years into my career and I was very clear that the mathematics department does not prepare its students for the world outside of academia, and students would be well-served to have a programming emphasis
What school did you go to?
@@Skumtomten1
Excellent advice packed into a short amount of time. The perfect combo!
I'm glad you liked the video, thank you for watching!
The tip about learning the basics and then learning the tools for the area you want to delve into is very good and important.
Great way to put it Mo Chen. very clean and clear explanation. Thank you.
Great video: no fluff, didn't make it seem too easy. Thorough. liked how you didn't downplay the difficulties as some are wont to do...
I'm very glad you liked the video, thanks a lot for watching!
A must watch for everyone before start off with python. I better prepared now to start learning from scratch . Thanks very much
Great video. I just finished the Google Professional Data Analysis certificate a month ago and I have signed up for their advanced data analysis certification which is mainly based on Python. It has been very helpful but still finding it difficult to write correct codes. I was thinking of giving up but this video has motivated me not to. Thanks Mo.
I'm glad to hear you found this video inspirational! All the best to you 😄
Cheers Mo, I feel motivated to pick up python again and stick with it!
That's great to hear, good luck 😁
Great tips Mo ... Thank you for sharing your journey!
I'm glad you liked the video, thank you for watching 😁
Thanks for all this valuable information Mo, looking forward to more tips and tutorials!
I'm very glad you liked the content, thanks so much for watching!
Awesome video! Looking forward to applying all of this.
I'm very glad you found the content useful! Thanks a lot for watching 😁
Insightfull. Useful tips. My mistake was going to hackerrank when I really wanted to focus on data anslysis. After several weeks, I realized that it focused on Developer skills using python, very different from python skills you need for Data Analysis 🙂
This is amazing! Thank you so much for this amazing video!!!
Thanks a lot for watching!
Thanks Mo! Amazing video 👏🏻👏🏻
Thanks so much for watching, I’m glad you liked it 😃
Beautifully made video mate
Great video mate, thanks!
I'm glad you liked it, thanks for watching 😄
Thanks Mo, great video. Do you have a video, or could you make one going through & showing how you created the OrdersDataWrangling function from the intro of this video (0:20 in to this video)? Taking multiple excel workbooks and collating into a single table is a huge use case for automation w/ Python, so this would be very useful to hear your though process and how the code chunk works!
Great video! Now, I know where to begin 😁 Thank you
I subscribed immediately after realizing how humble and real you are
Thanks so much 😃
This is a very nice overview. If this is primarily what you need for data analysis, it's pretty encouraging. Just know the fundamentals well and know matplotlib, numpy and Pandas!
It is not rocket science, that's for sure!
OMG - You just described how I started learning Python with data analysis. Mainly copy and paste the code since I do not like typing. I need help remembering the code. Now, I have started learning the basics.
Good luck with the Python learning and thanks a lot for watching 😃
Great video, quite helpful. Thank you! One small question - could you please make a video that helps understand when/where to use python for data analysis compared to self-serve BI tools such as Tableau/power BI/looker? What sort of problems can we solve better with python rather than these BI tools? Thank you in advance!
Great video.
Power Query (in Excel itself) can retroactively add new data placed in a specific folder into your excel file, in-case you don't want to use python.
Great tip 😃 Thanks a lot for watching!
Thank you for your encouragement
Great video!
Looping is something I always constantly remind my students to avoid though...especially in Python.
If there’s a more efficient way than looping, use that of course 😃 Thanks a lot for watching!
Really good video, Mo. Just what I was looking for.
I'm glad to hear, thanks so much for watching 😁
Thank you so much for this video. Good job!!!
Glad it was helpful!
Really makes sense! thanks a lot!!!!!
Thanks so much for watching, great to have you here on the channel!
Amazing explanation! Keep up the great content
Thanks so much, I’m glad you liked the video!
Loved the content Mo. Very informative
I’m glad you liked it, thanks so much for watching!
Very well done!. I am surprised you have fewer views for this presentation.
I’m glad you liked the video, thanks a lot for watching 😃
Totally Agree with you Mo, Thanks for the video
Glad to see you again on the channel, thanks so much for watching 😃
I love your voice, and way of expressing thoughts.
Thanks so much for the kind words, great to have you here!
Great video. Thanks for sharing.
I'm glad you liked it, thanks a lot for watching!
Your videos is so objective Mo, congrats 👏🏻
Thanks a lot for watching and for your kind words!
Thank you so much for your shares.
Love the video.
My background is economics and mathematics and I've been doing statistical programming and data analytics in SAS for five years.
I'm trying to learn Python and work in data analytics for finance. This is exactly the video I was looking for. Thank you for making it
I'm glad you liked the video! Great to have you here on the channel 😁
Thanks for python recap and the essential library for data analyst!
I'm glad you liked the video! Thanks so much for supporting the channel I really appreciate it!
Thank you ❤
I'm now on my way in the data analysis journey and I hope I will be a great one in the near future.
Best of luck!
You are so good. so much value in this channel
Thank you for watching and for the kind words!
Great video, Mo!
Thanks a lot for watching 😁
Great video, Do more!
Thanks so much for watching, I will!
Hii MO thank for video
It's very useful and I like the way explain 🙂
Thank you for the kind words, I'm very glad you liked the video 😃
Well done, Mo
Thanks!
I been writing it out in a note book, yes hand written 😂 I do over and over then I do with pc. It has been helping me alot
Great method! We’re all different, key is to find something that works for you. Thanks a lot for watching 😃
Thanks for posting yet another Lessons Learned video Mo. I liked this video's smooth structure, from describing your situation, how you first learned Python, how you recommend new learners hack it, and finally with the overview of the crucial Python libraries. I see knowledge of Numpy, Matplotlib, or Seaborn libraries being asked in many job descriptions. One tip I would like to add to improve this video is if you could summarize the key points in the last 1 minute of your video.
Thanks for the detailed feedback! Summarizing at the end is useful and is definitely something I'll take into consideration. Thanks a lot for watching 😁
As a python user. These is a very informative vlog
I'm glad you liked the video, thanks a lot for watching 😃
Good to know about your journey usinf Python in Finance Industry
Great Video 🎉😊
Thanks a lot for watching 😁
nice vid ganger
Such a great video
I'm glad you liked it, thanks a lot for watching!
thank you!
Thanks so much for watching!
this video is 👌, big fan
Thanks so much for watching 😁
great brother
I’m glad you liked it 😃
you da man!
Thank you!
Great video
Thank you 😄
I really liked your explanation. Do you recommend any course to really master python foundations? Thanks
Hi Mo, thank you for your amazing content I learn a lot 😊
A quick question if you can help me:
I currently work as financial accountant and want to transition into data analytics, there is a chance to do that within my current employer. They use google sheets to store their data and they do not use SQL (even tho they have a lot a data). For that reason, should I first learn python (I chose the course you recommend with the basics and libraries) and then SQL?
Thank you so much for helping us and giving us valuable information and lessons!!
Though I would pretty much always recommend learning SQL first, if you can't apply your skills on a daily basis at all, learning Python first is a good option. Thanks so much for watching 😁
Thanks 😊
I’m glad you liked it 😄
Thanks Big Bro Mo
Haha thanks for watching!
Nice b-roll. 🤣😂 Love the marathon video.
Thanks a lot for watching!
thank you mo
Thanks a lot for watching 😁
Hi Mo! First of all thanks a lot for your videos, they've been of huge impact in my current learning path and also thanks for taking the time to go through comments
Of course I'm reading all of this, one of the things I love about this channel the most is the ability it gave me to connect with others 😃 I made a video recently on how to build an awesome data analyst portfolio. Check it out here ruclips.net/video/wObV_hwu2QM/видео.html&ab_channel=DataWithMo. This should help!
I learned java first, so python was easy to get use to and let me learn the art of leverage all if the libraries that are available.
Mo, I looked at your LinkedIn and saw that you are absolutely stacked with credentials and went to some of the best schools and places to work at. With that being said, I have a bachelors in marketing from an online degree mill and was wondering if this career path is even plausible for people with weaker credentials. If you legit where in my shoes, what type of job path would you take to eventually become a DA?
I'm not saying it'll be easy but if you try hard enough and for long enough, you significantly increase your chances of succeeding. I've applied to hundreds of jobs in my life - but obviously only got the actual role a fraction of the times. If it was easy to be a data analyst then everyone would be and companies wouldn't pay you such high salaries.
I made a video on how to become a data analyst, you should check that out. I also put together a data analyst roadmap at datawithmo.com/. These should help a lot! Thank you so much for watching 😁
I’m late but you can look at using your experience to your advantage by becoming a marketing analyst. I’m currently in sales and am being short listed for a promotion to sales analyst.
Is it possible to make a great detailed video of you interacting with stakeholders and what are the steps you take before the stakeholders meeting, analyse, notes, advice to stakeholders and how you ask if you need more information for better outcome And how you interact during stakeholders meeting and what you do after the meeting. How you implement and what problems and difficulties you face with a real/fake 😅 example. Please!
Great idea! I certainly took a note of it 😃 Thanks a lot for the detailed feedback and for watching!
Question, if you know Matplotlib and Seaborn, do you still need to learn Tableau or MS Power BI?
Also, thanks for explaining things on a easy to understand manner, you make it feel achievable after explaining your own struggles.
The key is to not give up and work hard 😃 I wish you all the best with your own journey!
Great content!
Some very important aspect to learn Python is to focus on the "field" Data Analysis and not to how to create and app or some other things that is off topic 👍
So great that you pointed that out to others 😊
You can easily take some tutorials with different projects for different purpose and be a master off copying those. But not be really good to data analysis 🙌
So I would also say that find some great dataset from example Kaggle and use the basics functions of pandas, numpy and So on 🎉
Thanks so much for the kind words and for the detailed feedback. Really appreciate it 😃 Thanks so much for watching!
Mo, can you create a video on your thoughts about ChatGPT code interpreter, and what kind of effect it might have on the industry for those of us who are thinking of pivoting into data analysis?
Great video idea, it's something that will be an upcoming video on my channel for sure 😁 My general thoughts and opinion are that I welcome AI onboard. Being a data analyst is not just about writing code which AI is very good at. I'm more than happy for AI to do all of my boring, repetitive tasks such as data cleaning and transformation. You need to understand the business problems, engage with your stakeholders to come up with solutions, dashboards, processes that suit their needs. AI will certainly change the job tasks of data analysts, in a good way I believe - as rather than spending time doing monotonous tasks, I can spend more time doing value-add tasks.
@@mo-chen thank you for taking the time to answer me Mo, I appreciate that. I'm looking forward to the video, and also thank you for the helpful and professional content you produce, it's very helpful for me as I switch careers from medicine into Data Analytics. Hopefully in a few months I'll be ready to apply for my first entry jobs. 👍
Very informative video on building a strong foundation for beginner data analyzers.. but the real question is, where can I get that black oversize tee shirt in all your videos? I need one! 😂
Haha you’re not the first one who asked about the t shirt. It’s from Uniqlo. Very affordable 😃
Thanks mo
Thank you for watching 😁
omg that was sic.. din't knew when video ended.
btw i came for data-science
Still in the beginning phases of SQL but thought I'd see what you have to say about Python 🙃
Thanks for watching, great to have you here on the channel 😁
Really great video. But the intro that said "run this one line of python code" without saying that that one line is saying to run a python file that has a hell of a lot more lines than just one lmao
Hi Mo thank you. this is your 2nd video i am watching and i just stumbled on your page (less than an hour ago) while doing a search for the path to being a data analyst. Well done mate. I am an electrical engineer (renewables actually) and i really just want to be a data analyst in the power industry. Do you have or know anyone that one can follow on that path already?
Not a spring chicken here (i am over 50 years old) just want to add more skills to my portfolio so i do not have to do much heavy lifting in a couple of years down the line. thank you so much for your videos. They actually are encouraging for people like me who are so swamped with all the information out there. Road map is really needed for guidance. Thank you again mate!
HI there 👋 I don't know anyone in the power industry unfortunately. Not sure if you checked out the roadmap on my website at datawithmo.com/. If not, feel free to have a look! Thanks a lot for watching 😃
Just get to it friend, Pick up your data analytical skills along with some Python coding and apply to the companies that inspire your interest. There is definitely a place for you.
Great video, wish I know half of what you’re talking about lol
Hey Mo, thanks for the video! Do you think that Datacamp is useful?
Yes, I do quite like DataCamp. Used it myself as well 😁
Can you make a video on how to automate the excel sheet data you had in the beginning of the video ? :)
Not sure when I'll get to make the video, but for now you could check out the excel related functions in the pandas library (e.g. pd.read_excel, pd.to_excel, etc). Thanks a lot for watching 😁
problem is not "learning python"....its the thought process you need to code something..
How much math or calculus does one need to know to learn python for data analysis? i have an undergrad degree in economics and no background in coding. How much time do i need to invest in building a data analysis skillset?
Me feeling like "hey you just hid under the table"😅😅
Great advice though.
Thank you
Subscribed
Nice, thanks!
so first step is to learn python basics and next move to learn the libraries right?
Learning Python rn coming from R background, I am not getting what the fuss is about NumPy. In R, all these array stuff are supported natively. No need for additional package. I only can relate with Pandas.
is the monitor on the background you have the sunvision RLCD monitor?
It's a Samsung M7 43 inch
can you recap the essentiel of power bi as next video please i'm looking forward for it
I can't promise anything but I'll certainly try my best to make a video like that. Thanks a lot for watching this one 😁
I’ve been aiming for data science or analyst(not sure yet) and have been avoiding the math courses at my university. Mainly because I’m not a cs major im majoring in info science so the math courses aren’t required. But how important is math to data science/analytics? Particularly calculus, linear algebra and differential equations
To data science, very very important. And to data analytics, still important but knowing some basic stuff can be enough for entry level roles.
I need serious advice. I v science background and have worked with it for 7 years. With the hope of changing career I went to read msc supply chain management. Later read another msc in international business. With these two masters I still haven’t been able to change career. I desire to dive into data science or cybersecurity or data analytics. Just worried n don’t know what to do
Can you give me a timelime to keep track of my progress? Is 3 months enough? Or maybe 6? . I am an econ major. And second question, how much math do u know and how much is used daily in your role ? Thank you mo !
Everyone's timeline is different. I've been coding in Python for about 3 years now. You can probably get to a decent level in 6-12 months if your focus is data analytics solely. Thanks a lot for watching 😃
Hey Mo! I recently finished the Google Data Analytics Course. I’m beginning to do more of a deep dive into SQL and R but was wondering if I should substitute R for Python since it seems to be the more popular language. What do you recommend?
Python is more popular and is in demand. Learn Python first
I can only code in Python and not in R, and I'd say Python is more popular so go with that! Thanks a lot for watching 😃
Python definitely
R is mostly used in academic research
😢 for someone that does not know anything in programming I’m still lost
Please do I have to learn html and css first?
Hi Mo, I am very confused with the industry I am going to take. I am currently under BS Economics program. I am confused between Data Analysis and Web Development and Design. I am also have a background in SEO and copywriting. I would love to hear your advice which one to focus for a long term-career. Thank you in advance.
Choose the one that you think will enjoy the more in the future. Unfortunately I can't really comment on web dev and design, given I've never had any experience working in a role like that. Why not try do some projects for both and see which projects you enjoy more? Maybe that'll help 😄
If you already enjoying economics, the best and logical road to take next is data analytics. Web design is a career very deviated from Economics which you are already into.
Hey MO, what are your thoughts about PLOTLY?
I’ve used it a couple times before and really liked the visuals you can create with it 😁
We only had one week of 3 classes for python basics. Moving to pandas next week 😢
got u
Can you please tell the differences between data scientist , data analyst and business analyst ?
This article explains it well bigdatapath.wordpress.com/2019/09/05/data-scientist-vs-data-analyst-vs-business-analyst-which-role-is-right-for-you/. Hope this helps 😃
What Software did you use for explaining python in this video
Visual studio code