If God promoted you before you were ready, it wouldn't be a blessing, it would be a burden. He loves you too much, to do it too soon.
If there is a right time for your prayers to be answered, then know that every other time would've been the wrong time. #TrustHisTiming
โฝ ๐ฃ๐ฟ๐ฒ-๐ข๐ฟ๐ฑ๐ฒ๐ฟ ๐ ๐ถ๐ป๐ถ ๐๐ฎ๐น๐น โ ๐๐ฑ๐ถ๐๐ถ ๐๐ต๐ฎ๐ ๐๐ฒ๐ฟ๐๐ฒ๐ต ๐๐ ๐ ๐ฆ๐๐๐๐๐ง ๐ขโช
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Pendaftaran Course Belajar Power BI Mastery E-Learning Dah Dibuka!โฐ
Saat yang ditunggu-tunggu dah tiba!๐
โ Complete 93 videos and 10 Hours Belajar Power BI Mastery E-Learning
โ 93 Videos & 10 Hours Video
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โ Downloadable lesson files
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โ [BONUS] Group Whatsapp Technical Support E-Learning
โ [BONUS] Cara Leverage ChatGPT
โ [BONUS] More latest tips and tricks on demand
Apa tunggu lagi...klik button di bawah sekarang untuk daftar:
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Esok merupakan hari paling penting!
Untuk siapa yang sentiasa dahagakan ilmu untuk upskill dan naikkan value di tempat kerja, wajib standby!
Misi saya kalau boleh setiap department di semua company wajib ada yang tau gunakan Power BI.
Guna Excel pun dah banyak kerja boleh improve. Kalau guna Power BI lagi la power ๐
Jangan lupa standby besok!
https://t.co/AvY5h7HkDe
๐Python Packages to master for sports analytics:
1. pandas ( data cleaning, wrangling, transformation )
2. numpy ( mainly for math, but a lot of great things for scientific computation )
3. scikit-learn ( machine learning )
4. matplotlib ( visualizations )
5. requests ( web scraping )
6. bs4 ( web scraping )
7. openai ( AI )
Some sport-specific packages
Soccer:
- mplsoccer
- statsbombpy
Football:
- nfl_data_py
Basketball:
- nba_api
Baseball:
- pybaseball
Iโm definitely missing some packages for sport-specific ones so feel free to link them!
Posting valueable content consistently = increases your odds.
It's even better if we curate something that solves pain points where others can relate.
Approached by big pharma because of my domain (medicine) and PowerBI and analytics (not even Python nor SQL for this) as value exchange - enticed, but hello bond ๐ซก
In this context, like I said before, you don't need to search for data roles. There is increasing interest for analysts / execs with analytical skilset. Open the job description and read between the lines.
Q2 of 2024 has just started. It's time to take action! If one door closed, open another door - both local abroad!
Just my two cents. Kebanyakkan negara kalau ada option mereka memang nak keluar dari sistem fiat. Especially negara yang da rosak dengan hyperinflation.
Ada pandangan bahawa hyperinflation disebabkan oleh wang fiat. Tapi saya tak setuju. Penyebab hyperinflation ialah salah urus kewangan. Monetari polisi tak boleh baiki hyperinflasi. Ia adalah penyakit kronik. Monetari polisi boleh baiki siatem fiat selagi inflasi itu tak kronik.
Akan tetapi sistem kewangan perlukan ekosistem. Maknanya, kalau satu dua negara nak keluar, ia takkan boleh jadi kenyataan. Ia perlukan satu gabungan dan kerjasama kuat melalui persafahaman antarabangsa, yang kita tahu memang susah nak dicapai.
Dulu ada cadangan nak guna dinar emas. Tapi ia pun tak boleh jadi sebab tak dapat kerjasama dari negara yg berdagang dengan Malaysia. Even negara Islam pun lebih prefer guna USD, yang kita tahu kenapa sistem petrodollar boleh kuat.
Sistem fiat wujud banyak sebab. Tapi antara sebabnya ialah sebab manusia ada sifat tamak. Sifat tamak ni membuatkan kita berbelanja lebih dari apa yang kita ada.Sistem fiat membenarkan perkara ini berlaku.
Untuk keluar dari sistem ini tak boleh dibuat secara silo. Sebab apa jua sistem matawang (termasuk dinar dan apa juga matawang yang disandar kepada real value) perlukan demand and supply. Kita nak buat, tapi rakan dagang kita tak nak pun takkan boleh berjaya.
There is a lot happening with Microsoft Fabric.
My initial plan was to share about Microsoft Fabric - dah plan with @MHarizSharif on this - and why you as individuals (esp newcomers, learners, C-suite, also Python, SQL or R users) should leverage it.
You start by learning PowerBI, then explore data engineering, data science and the others within one single place.
Microsoft is introducing Fabric as OneDrive for data (pic 1 and 2) - called OneLake.
A place where you store your data - similar experience like the OneDrive.
But as Microsoft Fabric got so many updates for the past few weeks - need to reread and consolidate before sharing!
So rather than sharing specifically on Microsoft Fabric, I am sharing on how you can develop data acumen beyond PowerBI leveraging Microsoft Fabric and other materials. Contents will be shared upon vote completion. Stay tuned