Forecasting - Exponential Smoothing

Video tutorial of forecasting using exponential smoothing

[@ryankarran3863]

This guy is amazing, I found his capacity in teaching very effective.

[@shilpichaudhary802]

hats off to u sir.........itna ache se aj tak kise b teacher ne 20yrs mien nai padhaya ...thanks a lot

[@xavierhicks9008]

OMG Thank you!!!!! My professor can't explain this in a simple way. I spent 3hours last night trying to understand this based on his teaching. 15mins of your video and it's simple

[@AldosWorldTV]

You're a fucking legend bruh

[@lizramos1084]

The way you explained the actual formula was great. It really helped me understand it. Thanks

[@tylerx8848]

This helped me so much more than the book and the over-complicated way they explain variables. Thank you, Professor!

[@xhenihoxha7093]

THIS IS IS THE BEST EXPLANATION EVERRRRRR🎉🎉🎉🎉🎉 thank youuu so much!!!!!

[@harunajaafar9754]

Thanks for the lecturers for dedicating themselves to give these educating lectures.

[@maxwellbenjamin7958]

It seemed extremely complicated until you explained it. You're the man!! Many thanks from Alabama!!

[@Talia_IceCreamPaints]

This is excellent! Thanks from California. :)

[@sandrapuig9034]

The tutorial is great. I'm doing a Revenue Management project and I'm studying Pick up and Exponential Smoothing Forecasting, your video was really useful, thanks a lot!

[@rebeccabambusch8121]

Thank you so much! This helped me a ton and I'm so grateful!

[@francisluwe1635]

You are a fantastic teacher well explained and straight to the point 👌 just amazing

[@lm5050]

very helpful! I wish my masters level lecturer was half as good at explaining things as you. I hope you make more videos someday.

[@tiffanyestrada8000]

You taught very simply, and it made me learn this so easily. Thank you!

[@meowmeowsd]

Thanks for breaking it down completely!!!

[@bbadm7662]

Really helped me a lot for my exams hope I can perform better. Thanks for uploading the video.

[@WheeheeXDD]

Thank you for posting! Really appreciate the explanation :)

[@RashidAli800]

Very informative and easy to understand: thanks a lot for sharing knowledge.

[@karalindstrom7729]

OMG. Thank you so much. My textbook didn't teach me at all but my test asked about it O.o This has saved me

[@jazleen578]

thanks for your help! this helped me a lot

[@kelseylmarin1]

Thank you so much! I was lost until I saw this!

[@leog9079]

Wow... how the hell did 16 people dislike this??? This was perfectly explained!

[@shiandadam]

Leo Gatz simply because they don't get it, that's why all they can response is unliking it..

[@wazeefanazim9005]

Ur very good! keep on making more videos ...u have helped me tons ..Thank you

[@retiredgamer2388]

I taught I would never understand this thank you professor

[@adamsherif6473]

man you are good . keep the good work

[@its_stardust]

Definitely helped me understand better. Thanks!

[@Lizziepoo12]

Thank you!!!! I agree, it was very helpful! Awesome!

[@angelicaalfon6799]

Very helpful. Well explained. Thank you so much

[@aaryanjain5458]

Amazingly explained !! Thank You :)

[@sethephraimtetteh-quaye8508]

great tutorial. i'm impressed .

[@gabroo23]

This video was really helpful! Thanks

[@hanifahdjibran443]

Such a great explanation
Thank you from Indonesia

[@ahmadzuhdi2210]

This is really help. Thank you

[@Bilh254]

Man you are awesome, thank you

[@piggyback131]

god damn. one hell of a prof

[@marvin5075]

You amazing, thank you very much

[@nimajneb02]

Thanks for this. Very Helpful

[@admujkic]

Thanks romriodemarco, great video. Please could you explain what is smoothing constant?

[@hamzaather4188]

Excellent teaching !thank u sir👍🏻

[@FaerieDogs]

Thank you.

[@justinfavour2879]

Thanks ,Very easy to understand , please post more of your videos

[@discover_zanzibar400]

Nice i have understood very very much... May Allah bless you for this good tutorial sir 😍😍😍😍😍😍😍😍😍😍😍😍😍😍😍😍😍😍😍

[@emss_55]

Thank You!

[@margomcclintock2595]

Excellent explanation.

[@uniblacks]

Great explanation.

[@lilymn1382]

Thank you !

[@gloriachin9392]

Thank you. Its help a lot

[@sujeetsuryawanshi7816]

Cool.. Very nicely explained...

[@khanyambele5637]

thanks a lot. This hgas been very helpful

[@najmuddinnajs8417]

Thank you so much your awesome

[@ellachioma8779]

Thank you for the lecture

[@boonasser000]

its so helpfull ..thanks alot

[@tantruongkhanh1312]

thank alot, from vietnam

[@comfortkabanshi5048]

Thank you 😊

[@kingedoftheworld]

thank you very much! Good video! TH-cam gets me through college.

[@heesuseon7782]

Thanks a million really helpful

[@yaniquebrown87]

Thumbs up! Very helpful

[@reecediary]

very helpful for me. thank you very much.

[@aziemahzainal2683]

Thank you so much

[@marykaygems2544]

Where was you when I had this test!! Ugh

[@memesecret]

thank you

[@MDASADUZZAMANNURndbatch]

thanks

[@rsingh6700]

i love you...I mean thanks!!!

[@mani74uk]

Exponential smoothing formula = Ft+1= Alpha (At)+(1-Alpha)Ft , where At = the actual value at period t, t is the most recent time period, Alpha = the smoothing constant, Ft= the forecast for the period. This formula is used in CMA for forecasting Sales for next period.

[@vsadha5241]

sir how to find peak sales and. low sales period during a year

[@katusza4958]

Hi there. Can we calculate week 17 if we dont have At-1? If so, how can I do it?

[@vikasbhadauria1351]

How do we get alpha, which is constant percentage?

[@ANKITGUPTA-db9ov]

Thank a lot sir

[@bdgakamvdje9682]

thank you :-)

[@shubhammittal1987]

very helpful tysm

[@thevinduhapuarachchi8084]

great

[@thaibinhpro]

this method can calculate for long-term next months ? or just next month ?
i want to make forecast for next 12 months, how can I do?

[@vinitandhari]

Most simple way of explain....Help to understand in details..Thanks for Video.

[@donkorfoster3037]

rely makes me understand it more

[@jeanquinay4793]

I'm here for the explanation. like what would happen if a chose an alpha near to 0, or near to 1? Thanks for the video anyway

[@mauriciosaez9561]

thanks, can u show us how can be calculate alpha and betha?

[@d2alma265]

How to get the smoothing constant? Thanks.

[@ellachioma8779]

But in a situation where you are ask to find for Jan - June, and they gave us actual forecast for Dec and forecast for Dec,pls how can will solve it

[@NirmalKumar-xq5es]

Can you explain how to fix and calculate the apha value from 0 to 1

[@dgorrr1690]

very helpful

[@AnkushKumar-hn6yk]

nice sir

[@saynaislamdibasaynaislamdi8875]

Tnq u

[@hanfeichen8249]

wow

[@pratikmaurya2923]

Sir absolute and forcast is same thing?

[@aaditya-s]

thanx BIG time,,,,2marrow is my xam

[@zthweee]

ys vary tnx

[@noorussaba5724]

besttttt

[@1134cat]

intro music goes hard

[@melakkush]

Thanks for the detailed explanation, but why not use Excel?) I wonder what year this video was shot :)

[@mohamedval6093]

good

[@bittusingh1555]

Good

[@kevinchristian9490]

Nice to hear a Caribbean accent- Trinidad

[@tylergooding68]

Bajan accent :)

[@AmbrishKumarAJE]

best

[@mattgodden8943]

tytyty

[@priyankasinha2686]

sir how could be found error

[@daryllvelez7994]

Thank you. You saved me. Hahaha

[@ssatyams]

why to make the things comlicated simply write F(n+1)=D@n+(1-@)Fn

[@washikiryu]

is there a formula where you get ft16 directly?

[@shmeare]

yeh!.... we want one!

[@tsetenyoudon3336]

I don't think so.. we need the value of f15 to find f16, so we have to find f15..

[@samuelhsfc]

use excel mate

[@zenapsgas]

Exams in 2 hours, thx.

[@degigerel6286]

how i can calculate alpha from my data ?

[@shubamsingh8541]

The value of alpha will be given in question. It may be 0.3 or 0.5 or anything else.

[@Effesianable]

Thanks for explaining this to the world, but you could really have done it in half the time ;-)