What is Time Series Analysis?

Of all the IBM presenters, he's the best. Clear, great presence...and amusing in an understated way.

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]

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

Bro just explained Time Series Analysis in the amount of time it would’ve taken my teacher to open their laptop

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 🙏

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?

I like the explain time series in IBM when, bored in class 😅 thanks for teaching

wow so clear and short explanation, thank you

Thanks for your efforts

Nice explaination sir 😊

Bro just explained what my profs have been teaching an entire year in 7mins 😮 they too need to attend here.

This is what I was searching for..

awesome! can you do more videos on TS? and if possible transformers in TS?

He explained time series in 7 minutes vs my teacher who took 4 weeks to teach the same thing.

Better than my university professor

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.

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

Could you pls Talk more on times series real life applications

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