A. Ashofteh
big_data.pdf
با سلام و عرض ادب. اجازه می خواهم به اطلاع دوستان برسانم این دوره تکمیل ظرفیت شده و در صورتی که تقاضای برگزاری دوره هنوز وجود دارد می توان با تمدید مدت حضور در ایران به مدت یک هفته، دوره را یک بار دیگر در بانک متقاضی برگزار نماییم.
این دوره در امتداد سخنرانی برای بانک ها در بانک مرکزی در سال گذشته است و تلاش می شود تا دوستان از تحولات کنونی فناوری در بانکداری باز آگاه شده و تدابیر لازم را پیش از آنکه دیر شود بیاندیشند.
سود دوره های داخل کشور به نفع موسسات خیریه خواهد بود.
پایدار باشید.
افشین آشفته
این دوره در امتداد سخنرانی برای بانک ها در بانک مرکزی در سال گذشته است و تلاش می شود تا دوستان از تحولات کنونی فناوری در بانکداری باز آگاه شده و تدابیر لازم را پیش از آنکه دیر شود بیاندیشند.
سود دوره های داخل کشور به نفع موسسات خیریه خواهد بود.
پایدار باشید.
افشین آشفته
سلام. دست نوشته ای در رابطه با سواد داده و آمار که در خبرنامه انجمن آمار ایران منتشر شده است تقدیم حضور می شود. امید است از نظر و پیشنهاد دوستان بهره مند شوم.
با سپاس.
افشین آشفته
با سپاس.
افشین آشفته
سلام. دستنوشته "سواد آمار و داده برای مدیران" پیشنهادی است جهت ارایه به سطح مدیران سازمان با هدف آماده سازی ذهنی ایشان برای روز اول آبان روز آمار و برنامه ریزی. با سپاس. افشین آشفته
به نام خداند جان و خرد
دستنوشته "خزیدن یا پرواز، مسئله این است" از مجموعه "سواد آمار و داده برای مدیران" پیشنهادی است جهت ارایه به سطح مدیران سازمان با هدف آماده سازی ذهنی ایشان برای روز اول آبان روز آمار و برنامه ریزی.
این مطلب و مطالب دیگر سواد آمار و داده علاوه بر خبرنامه انجمن آمار ایران در کانال تلگرامی زیر نیز ارایه می شوند.
بدین وسیله از شما نیز دعوت می شود با عضویت در این کانال به دوستداران و توسعه دهندگان سواد آماری و داده بپیوندید تا با انتشار مطالب به مسئولیت اجتماعی خود پاسخ دهیم. منتظر حضور گرم شما آماردانان پرانرژی هستیم.
《عمل بالاتر از دانش است. انچه را فرد نمی داند جمع می تواند.》
با سپاس.
افشین آشفته
نماینده پروژه بین المللی سواد آمار و داده در ایران
https://t.iss.one/joinchat/AAAAADusbGe5Gp5h24_G6A
دستنوشته "خزیدن یا پرواز، مسئله این است" از مجموعه "سواد آمار و داده برای مدیران" پیشنهادی است جهت ارایه به سطح مدیران سازمان با هدف آماده سازی ذهنی ایشان برای روز اول آبان روز آمار و برنامه ریزی.
این مطلب و مطالب دیگر سواد آمار و داده علاوه بر خبرنامه انجمن آمار ایران در کانال تلگرامی زیر نیز ارایه می شوند.
بدین وسیله از شما نیز دعوت می شود با عضویت در این کانال به دوستداران و توسعه دهندگان سواد آماری و داده بپیوندید تا با انتشار مطالب به مسئولیت اجتماعی خود پاسخ دهیم. منتظر حضور گرم شما آماردانان پرانرژی هستیم.
《عمل بالاتر از دانش است. انچه را فرد نمی داند جمع می تواند.》
با سپاس.
افشین آشفته
نماینده پروژه بین المللی سواد آمار و داده در ایران
https://t.iss.one/joinchat/AAAAADusbGe5Gp5h24_G6A
Telegram
سواد داده و آمار
در این کانال مطالبی در راستای پروژه بین المللی سواد داده و آمار، جهت توسعه فرهنگ بکارگیری داده و تحلیل صحیح آن به اشتراک گذاشته می شود.
سلام. سایت فرادرس برخی دوره های آموزشی خود را در طرح نذری قرار داده و به صورت رایگان و تنها تا ساعت 24 روز چهارشنبه 20 شهریور لینک دانلود را در اختیار می گذارد.
https://faradars.org/ev/moharam98/?sent=1
https://faradars.org/ev/moharam98/?sent=1
Data&Stat Literacy:
Potential reputation risk of using Big Data for NSIs.
I read recently an article about this title from one of my friends Steve MacFeely from UNCTAD and I want to share my idea about it.
These days everybody is trying to make a benefit of the buzzword BigData without doing enough study on the side effects.
As Steve mentioned in his article, Big Data might makes some new sources of risks for National Statistics Institutions and there are some big concerns in dealing with hadoop ecosystem for national statistics. It is undoubtedly a complimentary option for old sources of data for NSIs but if they use it in the right way.
Anyway, whatever we can consider now as a concern for these new sources of data, was a concern before for granular data. Nowadays, granular datasets are really good adopted to increase accuracy and accessibility of official statistics. It would be also the case for Big Data in near future and some legislations such as GDPR can help. The experience of adopting the systems for using granular datasets might be used for Big Data as a best practice.
It is also necessary to pay enough attention when we want to apply such a new complicated technology on a completely complex subject like statistical systems.
Afshin Ashofteh - 18Sep2019
Potential reputation risk of using Big Data for NSIs.
I read recently an article about this title from one of my friends Steve MacFeely from UNCTAD and I want to share my idea about it.
These days everybody is trying to make a benefit of the buzzword BigData without doing enough study on the side effects.
As Steve mentioned in his article, Big Data might makes some new sources of risks for National Statistics Institutions and there are some big concerns in dealing with hadoop ecosystem for national statistics. It is undoubtedly a complimentary option for old sources of data for NSIs but if they use it in the right way.
Anyway, whatever we can consider now as a concern for these new sources of data, was a concern before for granular data. Nowadays, granular datasets are really good adopted to increase accuracy and accessibility of official statistics. It would be also the case for Big Data in near future and some legislations such as GDPR can help. The experience of adopting the systems for using granular datasets might be used for Big Data as a best practice.
It is also necessary to pay enough attention when we want to apply such a new complicated technology on a completely complex subject like statistical systems.
Afshin Ashofteh - 18Sep2019
در رابطه با مباحث این درس که مرتبط با بیگ دیتا، یادگیری ماشین و نرم افزار آر می باشد مطالبی را در کانال سواد آمار و داده به اشتراک خواهیم گذاشت. / آشفته
Data&Stat Literacy:
Afshin Ashofteh (A part of his talk at the ISI conference)
Which musician is the most famous in your country?
How long does it take you to choose one as the most famous?
Which statistician is the most famous one?
How long does this one take you?
Poor statistics!!
Statistics is a true language of data and information and it is similar to music. Let me say the statisticians are more like musicians and composers who know the musical language of data very well, and also the right time of silence in their art masterpieces!!
A statistician or a data scientist should be creative to be able to compose a good music, which people loves and can understand it by their nature.
They should know how to play different instruments like statistical concepts, computer software, and Business important points.
Therefore, they should be multipotentialite!
It means multi + potential + lite , multipotentialite!
I mean knowing about the following materials very well: Statistics, IT and data literacy, Business and Idea synthesis.
Therefore a data scientist should have multipotentialite super powers!
let me add something important:
Why would we , I mean statisticians and data scientists, today still want to go to our offices while we can actually work anywhere especially by using technological devices available today?
Because we should play instruments in an orchestra!
We should know how to broadcast statistics and metadata simultaneously dominated with harmony.
We should communicate and participate in giant collective experiences all together and play different instruments not in a fix but in a floating platform and in a harmony. Therefore, in an orchestra, driving into data pools and creates valuable information in synergy become reachable entirely.
Then we can do magic. Turn data to something in high value. We data scientists mastered the art of doing More, with less, which is the essence of perspective taking.
How?
1. Keeping statistics simple and easy to understand like a music.
2. Not making complex statistical organization and dividing it to separate small pieces and teach them to play together as an orchestra.
3. Improving statistical literacy as a common language in public.
The result:
Better understanding, perspective taking and better life!
Afshin Ashofteh (A part of his talk at the ISI conference)
Which musician is the most famous in your country?
How long does it take you to choose one as the most famous?
Which statistician is the most famous one?
How long does this one take you?
Poor statistics!!
Statistics is a true language of data and information and it is similar to music. Let me say the statisticians are more like musicians and composers who know the musical language of data very well, and also the right time of silence in their art masterpieces!!
A statistician or a data scientist should be creative to be able to compose a good music, which people loves and can understand it by their nature.
They should know how to play different instruments like statistical concepts, computer software, and Business important points.
Therefore, they should be multipotentialite!
It means multi + potential + lite , multipotentialite!
I mean knowing about the following materials very well: Statistics, IT and data literacy, Business and Idea synthesis.
Therefore a data scientist should have multipotentialite super powers!
let me add something important:
Why would we , I mean statisticians and data scientists, today still want to go to our offices while we can actually work anywhere especially by using technological devices available today?
Because we should play instruments in an orchestra!
We should know how to broadcast statistics and metadata simultaneously dominated with harmony.
We should communicate and participate in giant collective experiences all together and play different instruments not in a fix but in a floating platform and in a harmony. Therefore, in an orchestra, driving into data pools and creates valuable information in synergy become reachable entirely.
Then we can do magic. Turn data to something in high value. We data scientists mastered the art of doing More, with less, which is the essence of perspective taking.
How?
1. Keeping statistics simple and easy to understand like a music.
2. Not making complex statistical organization and dividing it to separate small pieces and teach them to play together as an orchestra.
3. Improving statistical literacy as a common language in public.
The result:
Better understanding, perspective taking and better life!