How I use Math as a Data Analyst
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- เผยแพร่เมื่อ 1 มิ.ย. 2024
- Statistics & Probability Course for Data Analysts 👉🏼lukeb.co/Statistics
Shoutout to the real Math MVP 👉🏼 @Thuvu5
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00:00 Intro
00:59 Arithmetic
01:33 Algebra
02:30 Descriptive Statistics
03:57 Probability Distributions
07:19 Regression - Advanced Statistics
09:07 Thu's Recommendations
As a member of the Amazon, Coursera, Hostinger, Parallels, Interview Query, and Data Camp Affiliate Programs, I earn a commission from qualifying purchases on the links above. It costs you nothing but helps me with content creation.
#datanerd #dataanalyst #datascience - วิทยาศาสตร์และเทคโนโลยี
What’s the most advanced math you’ve used with data?
Also, thank again to Coursera for sponsoring this video and Thu Vu for helping me out with this video! 🙌🏼
Generalized linear models 🙃
Luke, you do realize all of what you just did can be done much faster and cleaner in Spss, right?
@@roymcpherson1639 potentially, but the goal of this video was to show how multiple tools utilize math
@@LukeBarousse I see what you mean. I really love your content. Keep them coming
@@roymcpherson1639 Thanks, Roy!!
Thanks so much for having me in this video, Luke!! Omg it is actually fun! Nerd ** 2 🙌🏽🤓
Heck yeah!! So glad we teamed up on this one! 🙌🏼
#Nerd^2
"I hate statistics jokes, they are all mean! I regress" really smooth one there 😀😀. I loved your appearances and countenance all through. Nice video
“I regress.” Well done Thu
woah🤯 woah🤯 woah🤯 how can someone make Math videos at this fun level to watch
This is one of the must see videos for everyone who's new to data science! Thanks Luke & Thu Vu!
Aw thank you so much for this Ezaz!
I know all of the mentioned stuff quite well actually. Does that Mean I'm gonna be fine? Sounds too good to be true
Great video, Luke! I had never been able to visualize data analytics as learnable until I saw this video, it has really put me at ease to pursue data analytics. Thank you
Thank you, Luke. Exactly what I was looking for and thank you for recommending the coursera course.
No probs Nayeem! Thanks for tuning in!
@@LukeBarousse Hey, got a question for you. How do you balance your work with side hustles and studying? I'm trying to make changes to my weekly habit and would love hear back from a busy individual on their weekly schedule looks like. Thank you
Great video Luke.
I just want to say that your channel has helped through grad school. Everytime I was so stressed about school projects, your videos made me laugh and gave me motivation to keep working towards my degree. Just graduated this spring and will start my first job soon in the data analyst field.
Thanks for reading this comment.
Oscar thanks so much for sharing this and awesome to hear of your progress through grad school! Keep up the hard work my friend!!
Loved the video, thank you very much!
I love the fact that your videos are short and very resourceful. Thank you
Heck yeah, thanks for noticing this!
A very informative channel and great contens I enjoyed watching most of your videos Thanks for sharing .
Thanks Luke and Thu Vu. Wish you guys all the best. I used to be a Marketer, and since last year I've moved further to a new job as a Data analyst. I've been working on almost 15 projects. You know, at my very first project I was so nervous because the team they are nerds for real. Sometimes in the meeting, I feel like they speak another language 🤣. But the interesting point is that when you are on-job-learning, especially something related to math, you can learn then apply and practice them in real cases. The more you apply to your job the more it grows on you. I approve those math tools works really well in most case.
Thanks for sharing this perspective, Pete!! I've felt the same way in some of the teams I've been on!
Always love your new videos! Thank you for always inspiring me to grind harder, whether at work or on YT. Cheers!
Thanks Felix!
Thanks to both of you this was an interesting and fun explanation
Thank you!!
Thanks for informative video.
Thanks for this, my confidence in pursuing data analytics went through the roof
Thank you very much ! I'm not that good at mathematics, but I want to learn more and become better. I will practice and practice, and I hope to have good results
great video dude, i´m starting in data analyst and your channel always motives me , thanks a lot
Aw thanks for this Jose!
Happy birthday Luke! I hope it’s full of hefty and nerdy data!!!
Just saw this! Ha, thank you Dave! 😘
Super informative...thank you for making this video
Thanks, Ajinkya!!
When you pointed the outliers it reminded me that I once worked on a product that used IQR to detect outliers for fraud and actually worked really well despite not being fancy data science-y magic. Thanks for the great vid!
Always gotta be identifying those outliers!! And thanks Ben!
I think people in our beautiful data field tend to forget that it's not about the most-complex and detailed algorithm, it's about the most functional one. On another note: IQR, you son of a gun that's exactly what I needed for my project - thanks for the reminder. Ha!
your videos give me a lot of motivation
Great content as always. I'm currently taking your Power BI case study course in Datacamp. Wonderful so far
Heck yeah, hope you enjoy it!
Great content luke keep it up
Thank you Ashutosh
This is an excellent video!
Great Video Luke!
Thanks, James!!
so great Luke
I love Thu Vu! Thanks for bringing her on!
Love her content too!!
Great video as always , i would like to add linear algebra that is very useful for multivariate data or things like PCA or factor analysis
Covariance matrix/eigenvalues/eigenvector/ lagrange multiplier.
I don't think I've ever seen Luke without his calculator 🤓
Wears it on his wrist Dwight Schrute style
I don’t leave home without it!!! 🧮
Thanks!
Luke, I don't know how to explain this, but your videos make me smile!
Keep it up man!
Aw my dude! Thanks so much for this! 🙌🏼
sometimes I forget how to arithmetic 🙃
I've def counted on my fingers (and toes) for some basic math before 🥹
Hi mamacita 😘 . I love you Tina ❤️.
Funny comments from data scientists 😂
Every time I watch Luke's videos I realize how little do I know in this field haha 😅
Great video Luke, thanks for sharing!
Trust me. I feel the same when I watch other peoples videos. You aren’t alone.
As a data analyst myself this was really accurate to the role I am working with.
yo Luke, just wanted to say thanks again lol! i got my 3rd internship in business intelligence / data analytics and it all started last year. i just remember watching your videos in the car on lunch breaks, and it really helped me get serious and guide me to where i am now. appreciate you!
My dude, this is awesome to hear on the follow on internship!! So stoked for you, keep up the hard work and I appreciate the positive vibes! 🙌🏼
3rd internship position? Just curious... Why haven't aren't you in a full-time position yet?
@@ftrkngfspn im not full time because i have to get my degree. once i get my degree i wont need to take any more classes and ill be able to go FT
I loved ur equation:
"DataAnalytics - Fun = Mathematics"
As I have a "Pure" Math degree and i want to be DA, so the only thing that i need to learn is the FUN part ❤️❤️
Sweet content as always 😁✨
Okay 2:35 is gold 😂
Referencing from a source that's been claimed not to be a good reference. Okay that's meta!! 😂
"Is that true"?
"It should be" 🤣
Thank you so much Faruq! 😁 Glad you enjoyed our humor!
The most advanced math I've used with data is the Naive Bayes Algorithm, or maybe statistical significance testing. Gathering the data is usually more involved than the analysis.
Can very much agree about the data gathering being one of the most tedious steps! 😔
I am an Econ student from Malawi 🇲🇼🇲🇼 with a passion for Data Analytics.. Your channel is now one of my favorites. Thanks for the video(s)
Awesome, thank you so much for the positive vibes!
I have a request Luke, can you make a video on test driven development in Data Science/Analytics or maybe the normal testing?
Keep doing what you do Luke. I appreciate how you mix technical concepts with light natured segments. Please never go down the route of Full-on influencer.
Hey Luke! Love those videos! Do you know were to find python projects for beginners?
Perfect 10 minute #ad for Coursera, gj you did great
Can you do a video of the steps you take to learn about a database and tables when you encounter a new one that you have to work with for the very first time? What's the quickest way to get productive when dealing with a new database and understanding the relationships, etc...?
Let me see what I can do on this topic. Thanks for suggesting this! 🙌🏼
you must be having well deserved holidays Luke...or preparing the next series of videos ;) all the best and see you soon
Hey Bouseux, Appreciate you so much for checking in on me during these breaks. 🙏🏼 I know I can always expect to hear from you!
Unfortunately, my mother passed away last week, so I had to take a pause in content. Hoping to get back to it soon
@@LukeBarousse Condolences Luke. All my prayers to your mom and family. Take care!
Nice one Luke
Thanks 👍 Samuel
Really enjoyed the video Luke! Helping me quell my new grad worries of finding a job 😆
One thing though, about the R-squared, isn’t it “what percentage of the variability in salaries (observed data/target/‘y’) is explained by the years of experience (model/independent variable/‘x’). To me it sounded like you said the reverse, I could have just misinterpreted though
I would agree that your definition is more precise, so let's go with that one. I was trying to say it as simplistic as possible in this video so that may have caused the confusion
@@LukeBarousse remembering “x explains y” or “y is explained by x” is a safe bet
Another sweet video my dude.
One thought: on the distribution plot, it marks 50% at the peak of the curve. While this is true on a normal distribution (where mean=median=mode), your specific distribution was skewed to the right. So the 50th percentile would have been to the right of the mode (peak of curve).
Unless I'm wrong, then you should thoroughly pwn me lol
Nope I think you are completely right. I had to make that animation in my video software. So it was done by hand (and not to scale). Thanks for pointing this out! 🙌🏼🙌🏼
That animation looked great! Love how it slid over from the tails
My math fear gone away in this 10 min, your the best. Thanks🤸
heck yeah!
You're excellent!
No you are!
Wow what an amazing video
Thank you!
what about having a basic sample project you work on it live from scratch?
I think this is a good option as well
Hey Luke, Thanks for your nice inside. I have already finished some SQL, advanced excel and VBA courses now I feel like I have to work on real-life guided projects to implement that knowledge and get ready for the industry. Could you suggest to me some affordable guided project or anything like this? Thanks in advance
That's it lol. This is all I need hahaha explained in one video accurately. Thanks Luke!!
Aw thanks Jannon!
mind blowing
Dude we missed you. We need more data videos.
I'll be back soon!
Great video! Luke, where did you get that data about data analysts and their salaries etc?
I pulled the data from LInkedin, I have a few videos on how I got the data on my channel
Great video Luke ! Big thanks to Thu ( subscribed ) for joining and I cracked at the mean joke lol ( especially the awkward explanation after .. I like awkwardness I think it's funny )
ha, thanks Ibraheem! Well as long as it was interpreted as funny! 😂🤦🏼♂️🤣
Thank you so much for subscribing! I was not exactly sure if that awkward joke came across as funny but as you said this, phewww.. 😂
Influencer.
@@seekerj1643 Hahah I see you're here as well .. ENTREPRENEUR
@@Ibraheem_ElAnsari 🙃
Hi Luke,
Thanks for always creating amazing content. I am in a pickle today as I am thinking of jumping into a data science/analyst bootcamp (still can't decide) but have a hard time committing to this huge a cost. Any tips, on how can I either commit to a bootcamp or do some projects and start with job applications?
A little background, I have an engineering background and I have been going through datascience track by dataquest for the part year while working full-time.
Yeah, it's really up to you on whether you want to invest this high cost. I've heard of many success cases of bootcamps... BUT I've also heard of many with just courses online. So it all depends on your leanring style. If you think it's the best option to learn for you, go with it.
You sir just got a new sub
Thanks for subbing Rafael!
we need more Data Science/ Machine Learning topics please and some tuts can be really helpful keep going and thank you
Was actually going to do a video on ML in the near future. So stay tuned
@@LukeBarousse great thank you i really struggle with the model part of the project,
i am really good at preparing, extracting and cleaning and splitting the data to train and test sets but i always struggles to build the model especially if params needs to be tweaked like the alpha param and the number of clusters, etc and more please if you can help us in the future like understand how to take good decisions concerning these topics, please and thank you very much for all of your help and support
@@michelchaghoury9629 no problem at all Michel!!
7:38. Haha...Thu is such a data nerd!
I regress.. 😂🤣
Stats student who works in analytics right now! Totally agree with everything in this video 🤓🤓
Thanks for this perspective Chris! 🙌🏼
Luke you make our lives nicer!
Thank you!!
Thanks
it's sad for the course not being part of Plus :(
Can you reply to this question please?
I'm looking to buy an apple product for data science so do I go for iMac 2021 or 2019 ?
Or do I buy the MacBook air
hi luke.. i am really intrested in analytics and I am doing courses related to tableau and power BI and little bit of coding in python.
But I am in a dilemma of how to progress in this field and how to improve myself and crack a job after my education.
Hi, I am 42 and want to change my career from UX/UI to Data analytics. Before learning Power Bi / Excel / Python etc would you recommend doing the IBM or Google course first ? Thank you love your content. I understand what data analysis is but I don't want to spend months on a course when it's not really needed.
Learn SQl
Hello Luke I need your help.
I have one question about Power BI. I make one sales report everyweek with one excel as data source. How can I save all these weekly report in the same power BI report so I could look back previous report by clicking the filter.
Hello Luke, I hope you are doing well. these days I am seeing this new(old) tool for data; Alteryx, even as a requirement on LinkedIn job openings. I researched it but Listening to a short explanation from you would help.
Very interesting!
I agree that the most important part is Statistics and Probability rather than "raw Mathematics"
Moreover you can apply the Pareto rule and probably with the 20% of the mathematical knowledge you need you can obtain the 80% of the results.
Carlos.-
Very much agree with the Pareto rule for this!!
Hey Luke, i was wondering if i should do a statistics majos to become a data scientist ou is it a good idea to continue my biology major for the science and statistics involved
Thanks for the video Luke. Quick question, where can I get access to salary data you used?
Here is the link to the github repo that I used to pull the data from LInkedIn: github.com/lukebarousse/Job_Analysis
@@LukeBarousse Thank you! Unfortunately, I won't be able to pull salary data from LinkedIn since most of the job postings don't include one.
Hi Luke, hope you are fine. I want to know about the age I'm very worried about still I can be a good analyst as I m working SQL. After watching you I realized there is a long way to go.
1:17 what is the name of the metric?
Is there any reference to study Sales&marketing metrics?
Thanks for your efforts.. wondering if you can help me to make up my way to google data science, especially business intelligence/analytics like a learning path or interview questions credible source and so
Knowing the various data distributions is essential to the job as arithmetic if you're looking to be more than be a chart farmer.
It's important for troubleshooting your dataset and provide that analysis that stakeholders really want. Cuz your bosses don't want just a chart. They want the answer to the question the chart supports. The story (or context for decisions) requires a firm understanding of data sampling, biases, and distributions and how that relates to the business. This part of stats is IMHO so much more vital than knowing probabilities.
Like if youre a new hire, prepare to be shocked the number of times bosses make decisions around an "average" from a data set when the distribution isn't gaussian (e.g. ARPU is good for budgetary forecasting but not for detailed sales measurements)
Thanks for sharing this Eric! 🙌🏼
I did my graduation in computer science and then i am not interested in that field but now i wanted to grow my career in development .
My ques is where to start in this field and grow in this that one.
Hey, Luke. Where'd ya get the Salaries dataset? Thanks!
It’s data I pulled from LinkedIn. I have a few videos on it on my channel
Another great video, thanks Luke! You're really good at keeping my attention. 7:09 made me laugh too hard
nice!
.
Is nosql still worth to learn in 2022 ?
Hey Luke, I’m a major in Economics and minor in information systems. Would I have a good shot at breaking into the data analyst industry or at least finding a good entry level job?
I feel so, data analysts are needed in so many fields; although I've never worked in these fields you mentioned; it's worth searching for on LInkedIN for job oppurtunites
How is wlb in data science? Is it better or worse than software engineering in general?
This vid length is 10:05, I spent about 15mins to complete it because I spent the extra time from min 7:30-7:45. Thanks Luke and Thu Vu.
There is a lot of integral calculus hidden within statistical distributions. The area under a normal distribution (the integral of that curve) is equal to 1 and a z-score of 1.96 (Z = 1.96) corresponds to the alternative hypothesis being in the first 0.95 of the integral, where 1.96 in the upper limit of integration on the interval of x under the curve.
Z=1.68 is the upper limit of integration for 0.9 of the integral, etc.
I get that this is formal calculus and probably isn't used by too many data analysts but I find that learning integral calculus first really helps people have a better intuition and understanding of statistical distributions.
(Edit: formatting)
Yeah I can agree with this. It def can help provide a deeper understanding of statistical distributions!
Hi Luke, I found out in many recent job descriptions for data analysts most of companies need the analyst have some knowledge of cloud platforms, so which one you recommend for learning (AWS vs Azure) and why?
it really depends on what your goal employer is using, most people i've talked to for entry level jobs have just learned the basics of these cloud technologies and learned the majority of what they need to know on the job.
Hello what do you recommend for a new comp sci student intel or m1/m2
Thanks for the great and helpful videos 👍,I'm bachelor student of data analysis and I know in the first we have lot mathematic course I'm afraid of not getting good marks in this subject or physics.. ,besides of this course what will you recommend for beginners (first year of data analysis )??
🙌🙌❤❤
I have a video on this!
Hey Luke ,been quite a while your content has appeared on my feed ,I Hope all is well with you and looking forward to have you back.
Had to take a personal break, but I'm BACK!!
@@LukeBarousse Glad to have you back , while you were gone ,I enrolled and completed Udacity Nanodegree Data Analysis Programme and came out with 3 projects, I will appreciate it if you can give my LinkedIn account a review or perhaps my resume .
Luke, I need some advice for my LinkedIn profile. Since I haven't fully transitioned to a Data Analyst role yet. Do you think I should split my current title. Example: Data Analyst/Retail Manager or vice versa. Or just put Data Analyst for more visibility.
I'm not really an expert on LinkedIn... my recommendation though would be to phrase it to sound most like the job you want
Oh my goodness I finally understand what boxplots are. My professor just had me confused most of the time😭
Heck yeah! Glad I could help!
Right now i m 18 and in future i wanna pursue data science and day by day im improving my maths 😄
Do I really need to know all these for data analytics or I am good to go without math , I am not good at math , still in University and struggling in math only :/
What are the possibilities that the whole of the data analysis will be made 'automated' in the near future and data scientists will no longer be required?
Out of the maths concepts you mentioned in the video, which concepts are the must ?? I heard that Probability and Statistics are the must for data analytics and rest are either optional or considered as added advantages.
I'd say all the ones I covered in this video as I use them the majority of the time
@@LukeBarousse Isn't there any online course that covers or revises that data analytics related maths completely ??
I am not so good in maths. Calculus goes above my head.Though i enjoy statistics and probability. Currently i am learning front end development but its kinda boring for me. Should i switch to data analytics.
Note :currently i am working as a team leader in a tech support company. Where i have to deal with how can i make better things in my company. Does this experience helps?
Hi luke , i have done masters in statistics ,i want to start my career as data analyst but i am so confused about how and where to start . Please help me out
Hi Luke, I am very beginner in data analysis and I don't know exactly which of your videos to start with, can you please guide me?
Great question, and sorry for delay; I'd start here!
th-cam.com/video/CC66RXeTn_4/w-d-xo.html