Trending Feed
12 posts loaded
![🔍 [STATISTIKA DAN SAINS DATA]
Halo IPBNesian!👋✨
Kenalan y](https://s1.pikory.com/img/500445680_18035607146649817_5564692413977409526_n.jpg?hash=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)
🔍 [STATISTIKA DAN SAINS DATA] Halo IPBNesian!👋✨ Kenalan yuk sama prodi Statistika dan Sains Data! Penasaran kegiatan seru apa aja yang bakal kamu pelajari di sini?🤔🎥 Next prodi mana nih? Drop di komen ya!⬇️🔥 #ayomasukipb #StatistikadanSainsData #KoinImpian

Bingung pilih jurusan? Sains Data solusinya! Lulusan Sains Data punya banyak peluang kerja dan banyak dicari perusahaan, lho 😎 Mau tau lebih banyak tentang jurusan Sains Data di Cakrawala University? Yuk, kepoin Cakrawala University dan daftarkan diri kamu sekarang! 🤩 Pendaftaran GRATIS! 🆓🤩 Wujudkan masa depanmu yang cemerlang bersama Cakrawala University! ✨ ------------------------------------------------------- Follow IG @cakrawalauniversity | Web https://cakrawala.ac.id/ dan share info ini ke teman-temanmu! Ciptakan talenta digital, dengan kurikulum berbasis industri😄🚀 #CakrawalaUniversity #SainsData #KuliahSambilKerja #HybridLearning #MahasiswaKerja

🎓 Kuliah tiga setengah tahun di jurusan baru… worth it nggak sih? Awalnya juga penuh tanda tanya. Tapi justru dari situ gue belajar banyak hal. Mulai dari cara berpikir berbasis data, sampai melihat bagaimana data dipakai di berbagai industri hari ini. Sains Data bukan cuma soal angka, tapi soal memahami pola dan mengambil keputusan dari data. Itulah kenapa banyak peran seperti Data Analyst, Data Engineer, sampai Business Intelligence sekarang semakin dibutuhkan. Di Universitas Raharja sendiri, program studi Sains Data juga sudah terakreditasi Baik Sekali, jadi proses belajarnya benar-benar dipersiapkan untuk kebutuhan industri. Di video berikutnya, gue bakal cerita lebih dalam tentang sebenarnya kuliah Sains Data di Raharja itu ngapain aja sih, dari kelas, project, sampai persiapan karier. ✨ #SainsData #UniversitasRaharja #BanggaKuliahDiUR #DataScience #FutureCareer

This is the EXACT order I would learn Data Science in 2026. Hi 😊 my name is Dawn. I’ve been a Data Scientist at Meta, Patreon and other startups. And have coached 20+ clients into landing their dream Data jobs in the past year. 1️⃣ Learn SQL SQL is a must-have skill for every data professional because it’s the primary way you get data OUT of a database. It’s also a very easy coding language to learn, so I would start there. Use Interview Master to learn and practice SQL (link in bio): → Learn SQL: www.interviewmaster.ai/content/sql → Practice SQL: www.interviewmaster.ai/home 2️⃣ Start building Product Sense & Business Sense Product sense & business sense basically means you know how to use Data to solve real problems. I would start building this “soft” skill early because (1) it takes time to really learn this, and (2) as you’re learning Stats and Python, you already have context on how these might be used in the real world. I found the book: Cracking the PM Career to be super helpful before I landed my first Data Science job. 3️⃣ Learn Statistics How much Stats do you need for Data Science? Just the foundations, but you need to know it really really well. → Descriptive statistics → Common distributions → Probability and Bayes’ Theorem → Basic Machine Learning models → Experimentation concepts → A/B experiment design Check out Stanford’s Introduction to Statistics, which is free on Coursera. 4️⃣ Learn Python Python is the #1 skill for Data Scientists in 2025, but I put it 4th on this list because I find that it builds on skills 1-3. I learned Python on my own using DataCamp’s Python Data Fundamentals (link in bio). 5️⃣ Use AI-assisted coding tools Many data scientists are already using tools, like Claude Code & Cursor, to 2x their productivity. And also many companies are evaluating you on your use of AI during interviews. #datascience #datascientist

Comment ‘Projects’ to get 5 Data Scientist Project ideas and a plan 👩🏻💻 ♻️ repost to share with friends. Here is how to become a data scientist in 2026 and beyond 📈 the original video was 4 min Andi had to cut it down to 3 because instagram. Should I do a part 3v what are other skills that you would add to the list and let me know what I should cover in the next video 👩🏻💻 #datascientist #datascience #python #machinelearning #sql #ai

Day 1 - Inferential and Descriptive Statistics Hope this helpful, let me know if you want more such videos. Follow for more #datascience #machinelearning #womeninstem #learnintogether #progresseveryday #tech #consistency #statistics

3 proyectos de Data Science que puedes hacer en un fin de semana Si estás aprendiendo Data Science, una de las mejores formas de mejorar es trabajando con ejemplos reales. Aquí tienes tres notebooks de Kaggle que puedes explorar: • Predicción de Préstamos Bancarios – predecir si un crédito será aprobado en base a datos del solicitante. • Mantenimiento Predictivo (NASA) – estimar cuándo una máquina fallará usando datos de sensores. • Predicción de Churn (abandono de clientes) – analizar qué clientes tienen mayor probabilidad de dejar un banco. Puedes estudiar los notebooks y también intentar resolver los mismos problemas por tu cuenta utilizando los mismos datasets. Es una excelente forma de practicar y ver diferentes enfoques para un mismo problema. Comenta “DATA” y te envío los notebooks 🚀 #programacion #cienciadedatos #analisisdedatos

Data science is the future. If you are thinking of changing your field, there would not be another field better than data science at the moment.

What is Data Science? 🤖📊 It’s literally where human intelligence meets computer science — a field where we actually predict the future using data. 🔮 Companies study graphs, maps, past trends, and millions of data points to understand what might happen next… because yes, history repeats itself. Election agencies even pay millions for prediction models before the results are out. 🗳️📈 And tech companies? They track your behaviour to recommend products, personalize your apps, and show ads you’re most likely to click. 🎯📱 If you want to enter the world of Data Science, here are the 3 skills you NEED: 1️⃣ Mathematics — statistics & probability 2️⃣ Programming — Python or R for analysis & visualization 3️⃣ Machine Learning Algorithms — including regressions 🤝🤖 Comment “Data Science + your favourite company” and I’ll send you a full beginner-friendly roadmap! Follow @podus.app for more tech breakdowns, coding insights, and career guides. 🚀✨ #datascience #machinelearning #pythonprogramming #techcontent #aicommunity #programminglife #learnpython #datavisualization #techfacts #techreels #codingreels #aiml #artificialintelligence #bigdata #datatrends #datascientist #analytics #mlalgorithms #statistics #probability #codinglife #techcreator #techguide #computerscience #techlearning #futuretech #programmingtutorial #dataanalysis #reelsinstagram #podus

What is Data Science and Data Analytics? 🙌 ഇനി സംശയങ്ങൾ വേണ്ട. DATAയുമായി ബന്ധപ്പെട്ട കോഴ്സുകളും ജോലി സാധ്യതകളും മറ്റു ഡീറ്റൈലുകളും സിമ്പിളായി മനസിലാക്കാം experts faculties ഒപ്പം. Ready for a career in Data? Get ready to learn under experts. For more details, connect with us

"Diving into the world of open challenges as a Data Scientist and Fullstack Developer! 🚀💻 Each challenge is a step closer to mastering the art of data wizardry and crafting seamless digital experiences. 💡 Ready to conquer the unknown and showcase the power of innovation. 💪🌐 #DataScienceAdventures #FullStackMagic #InnovationJourney"
Top Creators
Most active in #sains-data
Reels Graph Intelligence.
Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #sains-data ecosystem.
Strategic Implementation
Our semantic engine has identified these specific pattern clusters as high-affinity matches for #sains-data. Integrated usage of #sains-data with strategic Reels tags like #sains and #sain is statistically linked to a significant increase in initial Reels discovery velocity.
In-Depth Hashtag Analysis: #sains-data
Expert Review • June 5, 2026 • Based on 12 Reels
Executive Overview
#sains-data is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 28,395,419 views— demonstrating exceptional viral potential within this content vertical. The top creator ecosystem features 8 notable accounts, led by @atonixcorp with 26,501,139 total views. The hashtag's semantic network includes 16 related keywords such as #sains, #sain, #datas, indicating its position within a broader content cluster.
Viewership & Reach Analysis
The 12 reels in this dataset have generated a combined 28,395,419 views, translating to an average of 2,366,285 views per reel. This exceptionally high average viewership indicates that content in this hashtag frequently hits the Explore page or Reels tab, driving massive exposure beyond the creator's immediate follower base.
The highest-performing reel in this dataset received 26,501,139 views. This viral outlier performance is 1120% of the average reel performance in this set. This significant gap between the top performer and the average highlights the "viral lottery" nature of this hashtag — breakout hits can achieve massive scale.
Content Overview & Top Creators
The #sains-data ecosystem is dominated by short-form video content (Reels), aligning with Instagram's algorithmic preference for video-first distribution. There are 8 distinct accounts contributing to the trending feed. The top creator, @atonixcorp, has contributed 1 reel with a total viewership of 26,501,139. The top three creators — @atonixcorp, @rridwannr, and @sundaskhalidd — together account for 98.4% of the total views in this dataset. The semantic network of #sains-data extends across 16 related hashtags, including #sains, #sain, #datas, #saine. Creators often use these tags together to reach overlapping audiences.
Discoverability & Reach Potential
The discoverability metrics for #sains-data indicate an active content ecosystem. The average of 2,366,285 views per reel demonstrates consistent audience reach. For creators using #sains-data, high-quality production and strong hooks in the first 1-2 seconds tend to perform best given the competition.
Analyst Verdict
#sains-data demonstrates the hallmarks of a well-performing Instagram hashtag. With an average of 2,366,285 views per reel, the viewership metrics position this hashtag as a premium discovery vehicle. Creators like @atonixcorp and @rridwannr are leading the charge, setting viewership benchmarks for the community.
Frequently Asked Questions
Everything about #sains-data on Instagram
Global Reels Trends
Explore high-velocity Instagram Reels hashtags currently shaping global discovery.












