The NBA Data Scientist

With her PhD in math, Ivana Seric had expected to wind up with a career in academia-but thanks to the growing use of statistical analysis in the NBA, she took a job with the Philadelphia 76ers instead. As a data scientist, she helps the team's coaches devise smarter strategies to win. Next Jobs is a mini-documentary series about careers of the future hosted by Bloomberg Technology's Aki Ito.
Video by Tom Connors and David Nicholson
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[@MoriRF]

ooof. all the science in the world couldn't stop Kawhi in that series

[@reggin_spelt_backwards]

Name one thing that could have stopped him lol

[@sujalakasl2135]

@@reggin_spelt_backwards Lockdown defence like how Iggy locked down Lillard in the final minutes of game 2. Though it pains me to say, the chance that Leonard would've made that shot would've been reduced significantly with a proper defender guarding him. But it's super Kawahi we're talking about so you never know!

[@RuilinLinRyan]

My Reply Notifications are OFF Kyle Lowry

[@danielsin5563]

Analytics cannot stop Embiid from acting like a shooting guard.

[@kandyman23]

Daniel Sin Analytics can’t stop Embiid eating pre-game burgers on the court either

[@danywech5772]

Very lucky to have such opportunities in the USA...we do not have such opportunities out here in Africa ..it's actually my dream job

[@moisesalmonte8271]

If every team have this technologies then they should fire some assistent coach 🤷‍♂🤷‍♂🤷‍♂

[@Lomudatshit]

Amazing story

[@royy9]

Hopefully they weren't behind that Al Harford signing.

[@slutmonke]

It's silly to think that "only 26% of data scientists are women" means that your odds of landing the job if you are a woman are low. These days where companies are routinely pilloried for not having a perfect 50% balance of workers at every level, despite basically no one having genuinely sexist intent and the high number of other factors in play, being the minority applicant is a huge *advantage.* Companies desperately want to hire women, and in many cases they're actually commanding a salary premium for it.

[@juanio7036]

She has a better jump shot than the sixers star point guard. Lol

[@iamMlu]

lol

[@tdv10]

hold this w real quick

[@dcromwell1]

What’s the percentage of Ben Simmons developing a jumper??

[@AisuruMirai]

*probability

[@dcromwell1]

AisuruMirai you right! My bad! 🤣

[@ahem7553]

never it's non existent

[@futurehofer1564]

-10%

[@okayyyy8028]

2%

[@kevinavila9489]

After 2 weeks of study, the 10-man analytics team presented their result to the coaching staff. Simmons can't make a three.

[@edmichaelalobog8886]

Oh damn. Nobody could’ve guessed that.

[@Mellowyellow8888]

More like they spent time looking at everyone else and forgot to look at themselves..

[@masterpieces2218]

Nice one.

[@ddp5406]

But then devised a plan to zig while the rest of the league zags

[@valrivas7424]

She has the perfect dream career!

[@allstar-j2836]

Yo for real! So nice!

[@yjallan]

great content Bloomberg!! As a current PhD student who works in Data Science and is a huge huge sports fan, this video really inspired me! THANK YOU !!

[@leoperez6737]

I am studying economics, we use lots of math, but obviusly not as much as a math student. Do you think I can become a data scientist?

[@tomconnors5697]

So happy to read this - all the best to you!

[@yjallan]

@@tomconnors5697 :)

[@yjallan]

@Aki Ito :)

[@Mellowyellow8888]

@@leoperez6737 you are missing the programming portion.

[@triathlontimmy]

I don't know why she would doubt herself getting the job, she seemed like the ideal candidate. Gender aside, how many math majors also played D1 basketball?

[@tobiasbengtsson2112]

Tim Nelson also 25# isn’t that low of a share, there were 10 people on just her research team

[@jasonli2594]

Tobias Bengtsson 75-25 is a very significant majority lol, not engineering school level, but still

[@themadeguy7523]

the real problem with the world is that intelligent people are full of doubts, while stupid people are full of confidence - charles bukowski

[@theianwill]

TheMadeGuy the smarter you are, the more you realize what you don’t know. I think that’s partially where it comes from.

[@tobiasbengtsson2112]

Jason Li considering there were ten people on her team that’d mean if the numbers Carrie over there’d be at least 2 women on it

[@generator2883]

Literally am going to be a data scientist because of this. I hope I can work for an mls team with data analytics with my soccer background. Amazing and inspiring video.

[@yeahx32p69]

can i be your running mate?

[@otherstampo]

Hey brother how is it going, have any social media handle where I could pick your brain and talk to you on?

[@johnnyngare1101]

Me too bro

[@halvey8518]

Gender shouldn’t matter, why do they always have to bring it up? All that did matter was that she had a profound understanding of the game of basketball and a very intellectual mathematician mind. Who cares if you’re not a male? You are hired for your mind and skills, she perfectly fits for analytics in the NBA. Edit: You’re*

[@MrCleaN-ls6qz]

@Ultra Instinkt Gender didn't matter. In fact, in a time like this where companies are chastised for not hiring more women regardless of their qualifications and pushing for equality of outcome, it would have been a lot more logical for her to assume she would have got the job. The field she's working in being male dominated is purely because most women don't study for that specific field and has less to do with companies specifically hiring males.

[@Chipwhitley274]

@Ultra Instinkt, And yet... all the evidence and facts demonstrate the opposite of your position... your biased misconceptions are not what actually is going on.

[@lukeGGlee]

Mike Halve True

[@theOnyFUFU]

@Mark Halve I agree 100%. I don't know why they had to bring up the fact that she's in a male dominated field & has to do well cuz she's represent all women. In 2019, you'll get a job like this if you're qualified, regardless of your gender. As the video mentioned, she is extremely qualified!

[@6anon]

It was mentioned purely for story telling purposes, It makes what she's doing seem more heroic for a lack of a better word

[@gishman2]

26% of women being data scientists does not mean they have a lower chance of being hired. How can a data scientist not understand that

[@kylestephens9593]

That was strange to me too.

[@samuelshin4746]

Not only that, she probably has a higher chance to be hired as industries try to create more diverse environments. Don't get me wrong, she probably deserves the job but bringing gender over simply the love of basketball is sad.

[@luiscmyk0824]

discrimination. it's real, beyond data.

[@nicteehs]

the graphic showed that 26% of data scientists were women; not that 26% of women were data scientists.

[@tdv10]

today's journalism always slaps you with that prejudice stance, and are we even surprised?

[@ZacharyLaid]

Everything can be broken down into numbers. That’s why we have physics to explain life in numbers.

[@archiej6386]

It can only be done by Russians and Asians though

[@joeairbender267]

@@archiej6386 Of course not by people like you, smh.

[@TonyVee93]

That's basically what chaos theory is, if you like this video you would love that.

[@olayinkaanifowose5099]

Zachary Laid Finding Freedom break down consciousness into numbers please, then process it to generate new consciousness

[@thebossness1440]

@@olayinkaanifowose5099 Lol that's literally what we're attempting with Machine Learning and advancing AI. A complex organism's "conscience" is an amalgamation of biological chemical circuitry, and yes- that *can* be broken into numerical values.

[@DMGG22]

Ivana is living the dream! From Croatia to the NBA 🙌🏽

[@omare7475]

nice video without the poor woman might not get the job and empowering women at the end stuff! this about a smart talented PERSON getting the right job for her skillset and that's great, no need to bring feminism into it!!

[@futurehofer1564]

I am really happy for her! Wish her the best of luck on her journey 💯

[@robertschlesinger1342]

Data analytics has become very important in other sports, such as baseball (sabermetrics), and in public health, criminology, advertising and marketing, political science, military science and, of course, economics. And the mathematics is far more than number crunching. One is always looking for subtle, hidden data (signals).

[@bluemiles7860]

Is the math mostly statistics or does it also involve linear algebra and calculus ?

[@stevepatterson1124]

You mean the the person with the best qualifications got hired? Wow what a novel concept. Male or Female. She was perfect for the job and so are a lot of men perfect over women for the job they have. Why do people insist on making things gender or race based?. If your the best qualified you get hired its 2019 not 1890.

[@antihomosapien]

Besides qualifications, there are attributes that gender and diversification provide to a work-place that can't be quantified. Same reasons you wouldn't hire a highly competent and qualified individual that is an asshole. You can't quantify assholism.

[@rewer]

Because it’s a fact there’s less female data scientist, that’s why she is surprise. You probably don’t feel it, but most of the time minority will have the thinking “they not going to hire me because i would not fit in well”. That’s why many corporate trying to break this stereotype to encourage everyone regardless your gender or race to apply. Your problem is you think the world is too idealistic, not every boss hire base on qualification, many bosses hire base on something they familiar with.

[@LeoAr37]

She is a data scientist, and she can't tell that the reason there are less women hired as data scientists, is because less women pursue that carreer relative to men, and not because of a bias in the hiring process. She had equal chances when she sent her postulation than the men ceteris paribus.

[@tonynguyen8166]

anyone can be a data scientist..you dont need a women to tell a women that. second you goal as a data scientist for an nba team is to help them have a better chance at figuring out the play style of the opponent and optimize the strat you have to gain a better chance of winning, if you didnt get them the win you fail your role.

[@bighosre10]

I bet her data says, get rid of Ben Simmons.

[@sharathkumar9749]

Loool bro

[@MahdiKnicks]

Simmons to LA confirmed lol

[@falete93]

Having a PhD in math... 26% of Data Scientist in NBA are women... just wondering the amount of women having a PhD in maths...

[@jacksonpuckett6115]

I think this video is sort of pushing gender inequality. Which is all in a persons head. Look at this woman. She thought she couldn't get the job. But she got it. I don't see any reason why a woman could not do this job or any less capable than a man. I'm a male, diesel mechanic. I wish I was a scientist, if I wanted to, I could be one. I'm too lazy to go back to college and study for it I guess. I also suck at math. But if anyone wants to do something bad enough and the possibilites are reasonable, then it's just a matter of time. The fact that she thought she couldn't get the job was all inside of her head. Also you have to look at percentage of applicants for this job. The video stated only 26% data scientist were female, but you need to look at how many applicants were female vs male. I don't know for sure, but I'm guessing that the majority of applicants were male, therefore more males hold that position because there were simply more males to have applied than females.

[@Clonetmnf]

Since I'm also from Croatia, currently a Computer science student and started playing basketball since I was 7, this inspired me immensely. I even wrote Ivana an email to which she unfortunately didn't respond, so I was thinking maybe you guys have some tips and guidance how to specialize in this concrete field (which literature, courses, basketball-related tips, anything). Thanks in advance!

[@4limusic542]

You got it, I hope everything is working fine for you now.

[@PhoenixSunsNZ]

Was enjoying this until it turned into a gender equality message.

[@rahuldeora5815]

This is your typical high on camera quality and storytelling and very poor on real information piece. Instead of showing people talk about how great this or that is, you should have given us hard examples of analysis. This is just entertainment content.

[@TheRealBruceLouis]

no, sixers will never give hard examples of analysis, nor will any nba team, it will destroy their competitive advantage this is the most u will ever get in any sports analytic video she even tried to pry out examples of hard analytics but immediately got shut down with no, trade secret, can not share

[@loouuiisssss296]

Even a female mathematician doesn't want to work for WNBA.

[@limbeboy7]

I disliked this video because the 26% of women statistic was another attempt at saying theres a wage gap. it only means only 26% of women chose to get a data scientist degree

[@rasaecnai]

Houston went nuts with analytics shooting 3s. They are a seriously flawed team. 27 consecutive missed 3s is probably something analytics team did not anticipate happening

[@fightsports66]

I am pretty sure the analytics people did not tell the Rockets to not play defense.

[@Mellowyellow8888]

Thats team strategy, you're missing the team BUILDING strategy.. maybe they don't have the proper personnel..

[@wiimatt4044]

Why do they make everything about sexism and how hard it is to be a working woman

[@jaxamillian1]

Pity the article devolved into more talk about male/female percentages in careers.

[@jacksonpuckett6115]

I think this video is sort of pushing gender inequality. Which is all in a persons head. Look at this woman. She thought she couldn't get the job. But she got it. I don't see any reason why a woman could not do this job or any less capable than a man. I'm a male, diesel mechanic. I wish I was a scientist, if I wanted to, I could be one. I'm too lazy to go back to college and study for it I guess. I also suck at math. But if anyone wants to do something bad enough and the possibilites are reasonable, then it's just a matter of time. The fact that she thought she couldn't get the job was all inside of her head. Also you have to look at percentage of applicants for this job. The video stated only 26% data scientist were female, but you need to look at how many applicants were female vs male. I don't know for sure, but I'm guessing that the majority of applicants were male, therefore more males hold that position because there were simply more males to have applied than females.

[@michaeladu7804]

Very well said 👍

[@ksmusa8]

This is just feminist crap to give credit 2 women for having a job in basketball. Now allover a sudden these women have revolutionised the game...@@ r u guys serious. This is general info..every team needs stats. Its great women are part of the team but lets not pretend they are revolutionising the game by having a job.

[@yeaaboiii3002]

musa Kasozi the players are the only mfs that revolutionizing the game.

[@pppinto97]

Nobody cares if you are a man or a woman if you're doing your job well

[@liamboyd4676]

I think ds jobs have more males than females is not due to gender, or in this case, industry, but more due to fewer candidates with interest in STEM during education and follow through after graduation, just IMO

[@Mellowyellow8888]

Jobs with people holding data scientist titles AREN'T entry level jobs for the most part. Look at who's already working in those fields.. Typically people already working with domain expertise tend to move into those jobs... probably already male dominated..

[@LeoAr37]

It's obvious, she's a data scientist and can't tell that?

[@blazayblazay8888]

Take more 3 point shots... Metaphor for life

[@AmberSantana-is3dq]

She’s the reason the nba sucks 😂 her and her co workers

[@Protantagonist]

I can appreciate all the Data Analytics post game. I just don't understand all these analytics needed pre-game. There will always be a % of randomization during the game that can completely change and destroy all these analytics...... Kawhi is a perfect example for this

[@Sizdothyx]

Daryl Morey's been foaming at the mouth over analytics for the last 20 years. It hasn't won him a single Championship.

[@chasingfelix3609]

The analytics are essential “pre game” because it provides insight into most effective strategies based on evidence rather than conjecture. It’s why when people speak of teams of the past beating today’s greats, it becomes laughable from a data and analytics perspective as today’s game has evolved to understand that efficiency matters above all else thus the transition away from the “glory days” where post ups and midrange jumpers were the norm.

[@chiragmd8565]

Of course there will be outliers like kawhi but some are predictable you could predict if a team is gonna win by analysing various metrics example Stephs last quarter shooting percentage you might think that he’s gonna shoot more and your gonna guard him but kerr might have slowly been making Klay or Poole taking the shots cause he knows Steph is gonna be covered his subtle signals can be obtained through a analysing shoots/ quarter or shoot/ last few minutes etc and also the individual contribution to the team ( like by having this person on the court what wins are we achieving etc )could be analysed based on which salaries playing time etc can be determined

[@Chipwhitley274]

Her prediction was wrong because, ironically enough, she didn't analyze the data that demonstrates gender disparities in hiring is not due to sexism... but rather, it is due to difference in the personal choices and decisions in women vs. men.

[@voongnz]

Rockets advanced analytics...shoot high volume 3's and flop to win free throws. How'd that work out? Such a horrible brand of basketball to watch thanks to their "strategy".

[@thefloridamanofytcomments5264]

Not every paper game plan works out in practice for whatever given team.

[@ZhangK71]

If you use the best analytics for a team against another team that is just ridiculously more superior/experienced, you’re still likely to lose. That doesn’t prove that analytics is stupid or useless. Learn some basic common sense or logic.

[@mohammadafaneh8595]

Oh so you're saying that when someone is totally qualified people look past their gender Great discovery!

[@hacker010010101]

thank you bloomberg! great content as always

[@AbuNizar19]

It means that feminism should be muscle, I didn't understand why she needs to show that woman can work such work.

[@nguyenucan8488]

amazing life and career she' having!!

[@Sizdothyx]

Daryl Morey and the analytics folks have been doing this for the last 20 damn years. Sabermetrics, shot value, efficiency ... and it hasn't won them a single damn Championship. Numbers only take you so far: in the end, it's all down to talent, grit and effort when everyone's arms are too damn tired to shoot the same 45 percent arc they do in the regular season. Not to say that it isn't useful, of course, but the team with the better chemistry and the better coaching adjustments beats a bunch of numbers adjudging tendency and conversion rates any day, every day.

[@V_baddict]

I'm really glad she found her dream job with both of the things she is passionate about.

[@ForeverPurpleNGold]

Analytics have its benefits, but going to the extreme would make the sport not human. In the playoffs, it is more important for players to exploit matchups, rather than looking at advantages in an analytical perspective.

[@jamesclerkmaxwell676]

She has a PhD in statistics not mathematics, no serious mathematician considers statistics mathematics.

[@ShidaiTaino]

James Clerk Maxwell explain?

[@aperson1363]

I thought this video was going to be about how the NBA now uses Data Scientists to do better in game(very cool and interesting). What was annoying about this video was the fact that they started to make this into like WOMEN POWER!!! and Im just like bruhhhh this has nothing to do with women power. We dont care about the scientist, we care about what they do!!!

[@sgn__0476]

Who'll win? PhD mathematicians, computer scientists a lot of math, Philly fans, Joel embiid, and the whole 76ers team. Or One klawy boi

[@xpkevinxd]

She’s living her dream!! That’s amazing!!

[@prospect4954]

Never understood why they play in Philly but practice in Jersey

[@nbanflonly5174]

Well the area they play is across the river and Camden and Philadelphia both border it. like it’s so close it’s basically philly. Camden is right next to philly connected by a bridge literally all

[@nbanflonly5174]

Its like Newark and New York almost

[@prospect4954]

Brotherly Love Edits only difference is it’s by the water front away from the rest of Camden South North East and Cramer Hill

[@waynewaltower2725]

Tax break

[@vicepresidentmikepence889]

What a dumb question

[@josenino7140]

will this data stop BALL HOG KYRIE from BALL HOGGING?

[@thunderb00m]

Salty Celtics fan detected

[@whosyourdaddy5719]

I don't know why you have to bring gender into this topic. Honestly, before I immigrated to the US, I have no intuition about race or gender because, to me, everyone is equally worth, black or white, man or woman. Now, I have to be really careful while talking about these topics. It is really tiring, why can't we stop doing this? To me, she is just a great data scientist, and I am happy for her. I just want to enjoy the game, give me a break please.

[@michaeladu7804]

Exactly... I had the exact same issue 😒

[@pythonmini7054]

What's her instagram?

[@SAM17898]

Why is this necessary? So they analyze players game? They write up some report to the sixers? "Okay Jimmy you have a 60% chance of making all your right handed drive ins 15ft away from the basket when a pick is set"...

[@UserUser-fm3cr]

Pretty sure every coach in any sport analyzes their team...

[@AI-ps6pe]

This video is more about gender equality, than about basketball analytics

[@Myactivechannel]

Ben Simmons makes her job easier because he doesn't shoot the ball

[@wethenorth783]

I think this job will replace for AI... I really wants be this job. But Fucking AI

[@fotosepasaigensEgydio]

Parabéns

[@harishyadav2184]

Tormund wants to know her location PS : GOT fans will understand (maybe)

[@parfinanceph]

Where's the big woman 😂

[@nomooon]

Data analytics is actually more domain knowledge than math. The math is straightforward, but the domain knowledge goes very deep.

[@cmaan4life1]

Hopefully I can get some kind of data analyst job before i graduate =( this looks real cool, but sadly I think ill need a masters.

[@lafondawilliams]

yeah i heard about someone who did this years ago but it was a male guess we wont recognize that lol.

[@adityaharist8558]

entar aja lah, mau ambil data science setelah benar2 dapat PhD aja, fokus ke web developer buat dapat kerjaan sekarang

[@PwnUIDo]

Why can't they get an interviewer who knows basketball.?

[@lukeGGlee]

based wy like Paul Allen

[@6anon]

man it really hit me on when she said she was going to ger first nba game

[@yaboibob2722]

Ik right 3:10 "human sheild" its called a screen

[@pcf1234]

Take this European fiba the world championship bullshit out of here! This is not Basketball

[@alfredhitchcock45]

I don't need PhD for that. I just need NBA 2k

[@balamuruganbv6727]

and you are not paid for what you are doing

[@systemsandlogistics]

5:30 *Data scientist gets job, after her accumulated data said she wouldn't

[@joaquinivanperezalvarez3045]

ese tiro de kawhi fue una locura y evento inevitable, que buen trabajo que tiene me gustaría poder llegar a donde esta algún día

[@DublinDapper]

Jezez the gender aspect really wasn't necessary here

[@domzdome9723]

I think being a woman or female is already a disadvantage for them to compete to us men or males. Whether it is in sports or academics or even in tech and engineering. One big reason is that they are the one responsible for child bearing and mostly child rearing. I'm not saying it is not doable but it is an unfair disadvantage if they're competing with men.

[@magnusvernmagnum8487]

All this data stuff is bullshit. Keep relying on data, and enjoy losing before the conference finals

[@AliKhan12345]

Can you become this with just a Bachelor's in Engineering and a Masters in Data Analytics? Like not have to get a PhD? Because being a data scientist for the NBA sounds hella cool ngl

[@AliKhan12345]

Actually just checked their job postings, yes it seems like PhD is not a requirement. But hmm you gotta still know your stuff pretty well I'm sure. Also all the jobs are in NY which I hate. Well, after getting a couple more years experience I might give it a shot! I also don't have that Masters yet :P but I hope to apply soon

[@mrbojangles7504]

10 (wo)man analytics team. Very impressive.

[@TheRealBruceLouis]

3:05 love the explanation of pick & roll to a layman there, yes indeed the pick is the human shield & then once the human shield has shielded, the human shield proceeds to run to the basket

[@guitarlearningtoplay]

2 minute time: Team A takes 12 three pointers only and makes 3 shots for 9 points 25%. Team B takes 12 two points and makes 6 plus 2 fouls and they make 3 out of 4 foul shots. Team B has 15 points. Even if you give Team A another three they have 12 points. Team B still wins and Team A shot 33% from three which is close to avg. The point is it matters who is tanking the threes and who is taking the FGs, not just a matter of stats, it’s both

[@reggin_spelt_backwards]

Lol slaughtered by the Raptors fucking slaughteredddddd

[@kool-aidman2797]

Great content. Kudos to ya Bloomberg 👏

[@gmog7857]

Why does she needs a PHD to do this kind of work? One does not need a PHD to do that. Most of the work is already done for her by the software. I do the same type of work and I do not have a PHD, overrated.

[@danielaadrianaromero2631]

The sound in this video is abnoxius. The hiss and every little noise in there is picked up by the mic. I can't stand it.

[@jona5678]

She is from my country of Croatia the first Croatian women in NBA 💪💪💪💪🇭🇷🇭🇷🇭🇷🇭🇷🇭🇷

[@kanius.majoris1869]

NUMBERS DONT LIE

[@ndush100]

a game is a game at end of day. you can't fully eliminate the 'luck' element. i rest my case.

[@woulzername]

I guess you aren't familiar with math. A game is a game at the end of the day. It has rules and objectives. Important information can be recovered from that alone

[@asierra1492]

there is no case to be made, obviously there is always "luck" element you dumbass.

[@ndush100]

@@woulzername actually i am quite familiar with the field. and yes, a game has rules/objectives, and you can always recover whatever info you want. In fact, there is beauty in doing so. But you can't use that to crunch a method to a games outcome! which is what they're trying to do. especially in competitive basketball where luck is so paramount and the winner is determined pretty much in final quarter by a small margin!

[@ndush100]

@@asierra1492 well you get my point fellow dumbass.

[@laszlobandi6456]

she should of predicted that Ben Simmons has to be sold earlier.

[@prodbydrumdrop]

data scientist/music producer here i come!!!!

[@marianoapuya5664]

You tried to imply that the three-point revolution came about because of analytics. If anyone has any doubts, it wasn't analytics that did it, it didn't even start with the Splash Brothers.

[@huangxianwei6515]

Cool but sorry, ew

[@kavinboylah]

U don't need a data scientist to teach Ben Simmons how to shoot 🤔

[@chasingfelix3609]

Actually it would probably be useful since it could help dictate best and most efficient shooting form based on historical data. Whether or not Ben Simmons will ever be able to do it is another question entirely

[@den_525]

You don't need to be a mathematician to figure out 3 points are worth more... I did as a 10 yo playing NBA live 2000 making my own 99 3 point player.

[@Deathwink1]

lol me too ever since nba2k10 all ive done is create 3 point shooting teams curry was always my pg and won mostly every season.

[@MariE-bz2eq]

She got a better jumper than Ben Simmons for real

[@MariE-bz2eq]

I would love a job like this. I'm working on my Master's in Business Analytics. Hopefully, I can land a job in something similar

[@ARDBOD13D]

You got this

[@sdotlondonkid]

I’m stuck between completing a MSc in Business Analytics and an MSc in Data Science. I know the programs vary between from University to University but I am still interested in hearing all about your experience studying Business Analytics and what it’s been like for you after graduating.

[@MichaelLeeW]

Bullshit curry made the 3point shot popular period

[@AntonioCostaRealEstate]

Bloomberg is always coming up with interesting insightful stuff. Unlike others in Mainstream media outlets.

[@thefakemaker]

They do a really interesting job but I can’t help but feel it’s implementation is hurting the game.

[@Protantagonist]

explain???

[@kelechic.jemelumba9981]

Data science + business degree is lit

[@sdotlondonkid]

Sounds like Business Analytics is what you’re after