Correct on the type of math needed. If I may add hypothesis testing, linear and multiple regression analysis will be your primary math to use. Statistics can be used for hypothesis testing and regression analysis can be used to figure out correlation between single and multiple variables. But yes like you stated- it’s more bark than bite- if you get yourself well versed in stats and regression Analysis, you’ll be in good hands.
Yes for sure! Hypothesis testing is an important stats skill for many analyst. Based on my experience, many of the job postings, and analyst friends I have talked to it does seem like regression is more advanced than what most data analysts need. I think the biggest discrepancies comes in when poor definitions (or maybe too many definitions) of what a data analyst is. I argue once you start getting into the regression side of things it becomes more of a data science role (even if it is labeled as data analytics). Do you agree with that perspective? Do you use regression much in your work?
I really suck at math now and back in high school too haha! I need to watch this over and over so I can get more encouraged to keep studying excel SQL python and stuff =) bro you are like the light at the end of tunnel for me lol you mentioned as part of your job sometimes you do collecting and preparing...is any part of that with excel? or sql? awesome video by the way and do NOT stop making videos please :D take care and stay safe
@@DBizhanov heyy sorry for late reply!! my study path and career goals kind of changed while I was planning to go data analyst path as a middle-aged man:) going through cloud certifications with security side of things in mind :) so far i got Microsoft az-104, az-305, az-500, CCSK and now working on sc-300 and sc-100 in near future( hopefully by jully 2024 the latest) with ultimate goal of achieving other security certifications..oscp and cissp eventually at some point :) what I've learned and i tell everyone now is try things out see what you really really enjoy doing because there's always a few hurdles along the way which could make things difficult but nothing could stop you if you enjoy what you doing and staying motivated 💪
Great video! You mentioned that the list of statistical concepts you displayed are typically covered in an intro stats course/book. What are some examples of intermediate statistical concepts/tools you have used in data analysis you think would be good to master?
Hi @Goinggoinggone123, this is a great question! Here is the breakdown according to Bradon (Me): BEGINNER Measures of central tendency, measures of dispersion, t-tests, ANOVA, Chi-Square (cross tabulation), Correlation (particularly pearson's R) . INTERMEDIATE Repeated measures ANOVA, OLS Regression, Logistic Regression, Poisson regression, binary/Ordinal regression, even some time series analyses could fit in here like ETS (Eror-Trend-Seasonality) models, Holt - Winters Method (Lots of regression haha - this is because it is broadly used. There are other techniques that are intermediate but it really depends what you are doing whether you should learn the techniques or not.. things like factor analysis, MANOVA, ANCOVA,). I would also suggest that intermediate level takes the those beginner level analyses and understanding them in a greater depth (what are the assumptions of these techniques, what to do when you violate these assumptions, etc.). There is not a hard and fast rule on what stats is beginner, intermediate, and advanced techniques. Some techniques are clearly beginner (measures of central tendency and measures of dispersion) but hopefully this is a acts as a guideline.
@@ChartExplorers Whoa, this was really helpful! Thank you so much for taking the time to respond in such detail, I'll definitely look into these more and also the assumptions of each. Just subscribed to you. Not many TH-camrs would take the time to respond this thoroughly.
Can you make a video about Employee data analyst vs freelance data analyst? Can you make a video about the difference between: data analyst vs business analyst vs business intelligence analyst vs quantitative analyst?
Hi Konstantin Radu, for sure! in the mean time you may want to check out Matt Bratton's (a fellow TH-camr) free course www.tmbanalytics.com/freetraining where he goes over a lot of the different types of analysts.
Without basic math skills such as some parts of calculus and algebra to learn statistics is possible? I think you skipped some important points about requirements math skills of data analyst.
I have maths and statistics in my minor with major in Econ... So... Nope I am not afraid sir. I was thinking of getting into linear algebra... But sheesh i dont have to... Thanks
hello, is this career filled with "deadlines" that are really quick? for example I work in IT support and it's a constant fast paced environment. never any slowdowns, I am feeling burnt out. is data analysis the same or are you able to sit down and work dillingently without someone on the other side waiting?
I am a computer science student and I am interested in data analytics field but I hate math can you define the percentage of math need for data analytic. Thanks.
Thank goodness! Mass is not my strong suit, but I'm eager to learn what I need too!
That's all it takes! You got this :)
this is nepotism
This video has been very useful, thank you very much
Correct on the type of math needed. If I may add hypothesis testing, linear and multiple regression analysis will be your primary math to use. Statistics can be used for hypothesis testing and regression analysis can be used to figure out correlation between single and multiple variables.
But yes like you stated- it’s more bark than bite- if you get yourself well versed in stats and regression Analysis, you’ll be in good hands.
Yes for sure! Hypothesis testing is an important stats skill for many analyst. Based on my experience, many of the job postings, and analyst friends I have talked to it does seem like regression is more advanced than what most data analysts need. I think the biggest discrepancies comes in when poor definitions (or maybe too many definitions) of what a data analyst is. I argue once you start getting into the regression side of things it becomes more of a data science role (even if it is labeled as data analytics). Do you agree with that perspective? Do you use regression much in your work?
Your comment made it seem way harder than what it is for some reason LOL...
I really suck at math now and back in high school too haha! I need to watch this over and over so I can get more encouraged to keep studying excel SQL python and stuff =) bro you are like the light at the end of tunnel for me lol you mentioned as part of your job sometimes you do collecting and preparing...is any part of that with excel? or sql? awesome video by the way and do NOT stop making videos please :D take care and stay safe
Hi @ben, thanks for sharing and your support 😀 You got this!
How is your studying bro?
@@DBizhanov heyy sorry for late reply!! my study path and career goals kind of changed while I was planning to go data analyst path as a middle-aged man:) going through cloud certifications with security side of things in mind :) so far i got Microsoft az-104, az-305, az-500, CCSK and now working on sc-300 and sc-100 in near future( hopefully by jully 2024 the latest) with ultimate goal of achieving other security certifications..oscp and cissp eventually at some point :) what I've learned and i tell everyone now is try things out see what you really really enjoy doing because there's always a few hurdles along the way which could make things difficult but nothing could stop you if you enjoy what you doing and staying motivated 💪
I'm BREATHING 😮💨🤣
Great video! You mentioned that the list of statistical concepts you displayed are typically covered in an intro stats course/book. What are some examples of intermediate statistical concepts/tools you have used in data analysis you think would be good to master?
Hi @Goinggoinggone123, this is a great question!
Here is the breakdown according to Bradon (Me):
BEGINNER
Measures of central tendency, measures of dispersion, t-tests, ANOVA, Chi-Square (cross tabulation), Correlation (particularly pearson's R) .
INTERMEDIATE
Repeated measures ANOVA, OLS Regression, Logistic Regression, Poisson regression, binary/Ordinal regression, even some time series analyses could fit in here like ETS (Eror-Trend-Seasonality) models, Holt - Winters Method (Lots of regression haha - this is because it is broadly used. There are other techniques that are intermediate but it really depends what you are doing whether you should learn the techniques or not.. things like factor analysis, MANOVA, ANCOVA,). I would also suggest that intermediate level takes the those beginner level analyses and understanding them in a greater depth (what are the assumptions of these techniques, what to do when you violate these assumptions, etc.).
There is not a hard and fast rule on what stats is beginner, intermediate, and advanced techniques. Some techniques are clearly beginner (measures of central tendency and measures of dispersion) but hopefully this is a acts as a guideline.
@@ChartExplorers Whoa, this was really helpful! Thank you so much for taking the time to respond in such detail, I'll definitely look into these more and also the assumptions of each.
Just subscribed to you. Not many TH-camrs would take the time to respond this thoroughly.
@@goinggoinggone535 I hope it helps. Thanks for subscribing! Keep me posted on your data journey!
@@ChartExplorers Hi bro what about advanced Excel and VBA
very helpful, thank you!!
You're welcome!!
Can you make a video about Employee data analyst vs freelance data analyst?
Can you make a video about the difference between:
data analyst vs
business analyst vs
business intelligence analyst vs
quantitative analyst?
Hi Konstantin Radu, for sure! in the mean time you may want to check out Matt Bratton's (a fellow TH-camr) free course www.tmbanalytics.com/freetraining where he goes over a lot of the different types of analysts.
Thank you! 2 years later.
Much math good! I like your couch.
haha, Thanks!!
Thank you so much sir
So you are only working as a data analyst and why did not you transition into a data scientist or engineer?
When it comes to Maths, do you think that learning software like sagemaths and Matlab would be helpful for a data analyst??
Without basic math skills such as some parts of calculus and algebra to learn statistics is possible? I think you skipped some important points about requirements math skills of data analyst.
Can you teach us all the maths applied to data analysis?
I have maths and statistics in my minor with major in Econ... So... Nope I am not afraid sir. I was thinking of getting into linear algebra... But sheesh i dont have to... Thanks
And also the level of math use in this field
Love your videos
Glad you like them! Thanks 😀
Where to cover those math topics?
hello, is this career filled with "deadlines" that are really quick? for example I work in IT support and it's a constant fast paced environment. never any slowdowns, I am feeling burnt out. is data analysis the same or are you able to sit down and work dillingently without someone on the other side waiting?
Bro it's cooool now
I am a computer science student and I am interested in data analytics field but I hate math can you define the percentage of math need for data analytic. Thanks.
Sir is it good to do Data Analyst after msc mathematics?
Yes, strongly recommend
Hi Brandon.
Great content. I need a professional advice. How can I reach out to you? Email ?
Thanks
Hi Tal, it looks like you found my email. I have responded there to your email.
Hi sir need to contact with you another platform
I hate math and numbers. But I need to do a fucking STEM masters to be able to immigrate to the US.
Hey alex
Imej itu terlalu menyinggung perasaan
Sir Linear algebra and calculus is required in master in data analyst
easy easy
what for? im seriously curious
👍👍
Thanks @shahzan!