Time series analysis 1: Components of TSA (Trend (direction of data), Seasonality (pattern of data), Cycle (bumps and boost in financial), Variation (unpredictable, noise, data behaviour difficult to classify). 2: Models: Like ARIMA (considering past values after future values; trends and seasons; smoothing noise), Exponential smoothing (does nos have seasonality, gives more weight to recent values model), … 3: Implementation: like Python using Pandas and Matplotlib libraries to preprocess and plot. Whether to choose components and models depends on the problem we are choosing to solve…
I am the accountant man. Just trying to changing career into Data Analyst, using the most current and advanced digital apps and tools for Data Analysis. This is grade A-level presentation. Thank you very much. [Greetings from Jakarta - Indonesia - South East Asian]
God evening, I'm Al-ameen from Kano state Nigeria. I'm a student trying to focus on data analysis, I need your guidance please as I can see you are directing towards becoming data analyst. Thank you.
You got very good accent very good pleasing frequencies.. no nonsense technical subject you teach, overall you are a good teacher and I am happy I listened this lecture 🙏
Great video, congrats! As introductory video, I have just missed the concept of autocorrelation (even in a qualitative manner), which differs time series analysis from a formal statistical analysis and makes a huge difference for forecasting.
They write normally on a special piece of glass between the camera and the presenter. They then flip the video in post. Sometimes presenters will get shirts made with the logos printed backwards specifically for this.
You guys are just awesome in breaking down complex topics to enjoyable ed videos, focus and scope are spot on 🎉 maybe I should try your Coursera certs - is it similar to your current style?
What software do you prefer using when simulating time-series processes? I learned SAS (which I compare to an old lady), I prefer R but the output isn't so visual. Is there other better options
so how do we solve these time series patterns using suitable machine algorithm who does we know it is suitable while actually machine learning algorithms makes suitable predictions
It's a pity that in such a great, but short presentations, the great presenter could not mention the libraries that can help forecast the time series future values.
To me, time is a construct of the brain. When the brain ceases to function, time is gone. So what is the past, present and future ? Put simply, the past is what each one of us remembers. So the past is different for every human being alive. The present can be defined differently. To one person the present can be today, to another the present may defined as a week. To me, the present is perhaps a second, when the future time becomes the past time. So what is the future ? Again, time being a construct of the brain, the future is what we expect to happen. So again future time is different for everyone. So the inanity of time travel means that to whose time are we going to travel? Since everyone's past and future are different (in their brain) to whose past are you going to travel to ? We measure time to the atomic level. We have to measure time to survive. From the smallest amount, a second lets say. An hour, day, weeks months and so on. Our civilization depends on it. From our daily lives to our whole life plan. I could go on but these are just my thoughts for what they are worth.
Okay, just want to understand how your take refers to time series analysis. Do you feel that its not as effective? due to the subjective nature of time perception across different people.
@@2godbeinfinitegloryset your scope for analysis this will ignore talking about time like Einstein (theoretical upper limits) and instead talk about it in engineering terms (practical accessible relevant limits) no need to talk about time so existentially the video was excellent stick to TS data helps predict trends, seasonality, cycles & variations
Of all the IBM presenters, he's the best. Clear, great presence...and amusing in an understated way.
and while writing backwards...
Time series analysis
1: Components of TSA (Trend (direction of data), Seasonality (pattern of data), Cycle (bumps and boost in financial), Variation (unpredictable, noise, data behaviour difficult to classify).
2: Models: Like ARIMA (considering past values after future values; trends and seasons; smoothing noise), Exponential smoothing (does nos have seasonality, gives more weight to recent values model), …
3: Implementation: like Python using Pandas and Matplotlib libraries to preprocess and plot.
Whether to choose components and models depends on the problem we are choosing to solve…
Bro GOAT!
00:00 - 01:53 : Introduction
01:53 - 04:00 : Components
04:00 - 05:29 : Fundamental models
05:29 - 06:53 : Implementation
06:53 - 07:28 : Outro
I am the accountant man. Just trying to changing career into Data Analyst, using the most current and advanced digital apps and tools for Data Analysis.
This is grade A-level presentation. Thank you very much.
[Greetings from Jakarta - Indonesia - South East Asian]
God evening, I'm Al-ameen from Kano state Nigeria. I'm a student trying to focus on data analysis, I need your guidance please as I can see you are directing towards becoming data analyst.
Thank you.
Bro just explained Time Series Analysis in the amount of time it would’ve taken my teacher to open their laptop
i wrote exam on this took me 5hours to understand this when he does it in 7mins
Of course, I came here for Time Series, but he is so soothing. Sometimes, I watch his explainers just for that.
Bro just explained what my profs have been teaching an entire year in 7mins 😮 they too need to attend here.
That's a pretty cool & simple explanation !
This guy is a legend! Writes everything backwards and explains
You got very good accent very good pleasing frequencies.. no nonsense technical subject you teach, overall you are a good teacher and I am happy I listened this lecture
🙏
wow so clear and short explanation, thank you
Great video, congrats! As introductory video, I have just missed the concept of autocorrelation (even in a qualitative manner), which differs time series analysis from a formal statistical analysis and makes a huge difference for forecasting.
I like the explain time series in IBM when, bored in class 😅 thanks for teaching
is this guy writing backwards the whole tiem?
The video is flipped
They write normally on a special piece of glass between the camera and the presenter. They then flip the video in post.
Sometimes presenters will get shirts made with the logos printed backwards specifically for this.
seY
Anyone knows what is the software / hardware used for this?
Great Job explaining the components
You guys are just awesome in breaking down complex topics to enjoyable ed videos, focus and scope are spot on 🎉 maybe I should try your Coursera certs - is it similar to your current style?
Better than my university professor
😂😂😂
Thanks a lot. I love your videos.
Thanks alot
I learnt something today
Nice explaination sir 😊
This was very helpful.
He explained time series in 7 minutes vs my teacher who took 4 weeks to teach the same thing.
awesome! can you do more videos on TS? and if possible transformers in TS?
What software do you prefer using when simulating time-series processes? I learned SAS (which I compare to an old lady), I prefer R but the output isn't so visual. Is there other better options
so how do we solve these time series patterns using suitable machine algorithm who does we know it is suitable while actually machine learning algorithms makes suitable predictions
Could you pls Talk more on times series real life applications
Thanks for your efforts
This is what I was searching for..
is there any free software to run time series analysis? The ones you mentioned python etc? Any free softwares for students/acedima/researchers?
Hello, how do i use models like AMIRA
How can I get job at IBM, I am a java developer
It's a pity that in such a great, but short presentations, the great presenter could not mention the libraries that can help forecast the time series future values.
Sir do you cook?
looking for a performance testing related detailed playlist
Is he writing words backwards using his left hand? Amazing...
See ibm.biz/write-backwards
prolly he behind glass and they just invert the vid
I have the time series, but now I need to build the model for analysis... otherwise, it looks like lines 😅
Can I have free course of this course as well as python?
To me, time is a construct of the brain. When the brain ceases to function, time is gone.
So what is the past, present and future ?
Put simply, the past is what each one of us remembers. So the past is different for every human being alive.
The present can be defined differently. To one person the present can be today, to another the present may defined as a week.
To me, the present is perhaps a second, when the future time becomes the past time.
So what is the future ? Again, time being a construct of the brain, the future is what we expect to happen. So again future time is different for everyone.
So the inanity of time travel means that to whose time are we going to travel? Since everyone's past and future are different (in their brain) to whose past are you going to travel to ?
We measure time to the atomic level. We have to measure time to survive. From the smallest amount, a second lets say. An hour, day, weeks months and so on. Our civilization depends on it. From our daily lives to our whole life plan.
I could go on but these are just my thoughts for what they are worth.
Okay, just want to understand how your take refers to time series analysis. Do you feel that its not as effective? due to the subjective nature of time perception across different people.
@@2godbeinfinitegloryset your scope for analysis
this will ignore talking about time like Einstein (theoretical upper limits)
and instead talk about it in engineering terms (practical accessible relevant limits)
no need to talk about time so existentially
the video was excellent
stick to TS data helps predict trends, seasonality, cycles & variations
how do u write on the screen like that? 🤪
See ibm.biz/write-backwards
I want to ask, how he write and then it could be shown us like a blackboard? what is the technique name? 🤣🤣
how the duck can he write in screen?
duck around and find out