389.9K
CHThe best projects serve a real use case
Comment “data” for all the links and project descriptions
#tech #data #datascience #ml #explore
@chrisoh.zip
Mega Popular
#Data Science
世界中の人々によるData Scienceに関する14M件のリール動画を視聴。
ログインせずに匿名で視聴。
14M posts
NewTrendingViral
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トレンドリール
(12)
334.1K
SUComment ‘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
@sundaskhalidd
29.6K
YOWhere are all our data scientists at! 👀👇🏻
#young4stem #datascience #job #reel #stem #computerscience
@young4stem
1.1M
THHere’s a roadmap to help you go from a software engineer to a data scientist 👩💻 👇
If you’re tired of writing vanilla apps and want to build ML systems instead, this one’s for you.
Step 1 – Learn Python and SQL (not Java, C++, or JavaScript).
→ Focus on pandas, numpy, scikit-learn, matplotlib
→ For SQL: use LeetCode or StrataScratch to practice real-world queries
→ Don’t just write code—learn to think in data
Step 2 – Build your foundation in statistics + math.
→ Start with Practical Statistics for Data Scientists
→ Learn: probability, hypothesis testing, confidence intervals, distributions
→ Brush up on linear algebra (vectors, dot products) and calculus (gradients, chain rule)
Step 3 – Learn ML the right way.
→ Do Andrew Ng’s ML course (Deeplearning.ai)
→ Master the full pipeline: cleaning → feature engineering → modeling → evaluation
→ Read Elements of Statistical Learning or Sutton & Barto if you want to go deeper
Step 4 – Build 2–3 real, messy projects.
→ Don’t follow toy tutorials
→ Use APIs or scrape data, build full pipelines, and deploy using Streamlit or Gradio
→ Upload everything to GitHub with a clear README
Step 5 – Become a storyteller with data.
→ Read Storytelling with Data by Cole Knaflic
→ Learn to explain your findings to non-technical teams
→ Practice communicating precision/recall/F1 in simple language
Step 6 – Stay current. Never stop learning.
→ Follow PapersWithCode (it's now sun-setted, use huggingface.co/papers/trending, ArXiv Sanity, and follow ML practitioners on LinkedIn
→ Join communities, follow researchers, and keep shipping new experiments
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Save this for later.
Tag a friend who’s trying to make the switch.
[software engineer to data scientist, ML career roadmap, python for data science, SQL for ML, statistics for ML, data science career guide, ML project ideas, data storytelling, becoming a data scientist, ML learning path 2025]
@the.datascience.gal
2.5M
PR1. Netflix Show Clustering
Group similar shows using K-Means based on genre, rating, and duration.
Tech Stack: Python, Pandas, Scikit-learn, Seaborn
2. Spotify Audio Feature Analyzer
Analyze songs by tempo, energy and danceability using Spotify API.
Tech Stack: Python, Spotipy, Matplotlib, Plotly
3. YouTube Trending Video Analyzer
Discover what makes a video go viral.
Tech Stack: Python, Pandas, BeautifulSoup, Seaborn
4. Resume Scanner using NLP
Parse and rank resumes based on job description matching.
Tech Stack: Python, SpaCy, NLTK, Streamlit
5. Crypto Price Predictor
Predict BTC/ETH prices using historical data.
Tech Stack: Python, LSTM (Keras), Pandas, Matplotlib
6. Instagram Hashtag Recommender
Suggest hashtags based on image captions or niche.
Tech Stack: Python, NLP, TF-IDF, Cosine Similarity
7. Reddit Sentiment Tracker
Analyze community sentiment on hot topics using Reddit API.
Tech Stack: Python, PRAW, VADER, Plotly
8. AI Job Postings Dashboard
Scrape and visualize job trends by tech stack and location.
Tech Stack: Python, Selenium/BeautifulSoup, Streamlit
9. Airbnb Price Estimator
Predict listing prices based on location and amenities.
Tech Stack: Python, Scikit-learn, Pandas, XGBoost
10. Food Calorie Image Classifier
Estimate calories from food images using CNNs.
Tech Stack: Python, TensorFlow/Keras, OpenCV
Each project can be completed in 1-2 weekends.
#datascience #machinelearning #womeninstem #learningtogether #progresseveryday #tech #consistency #projects
@priyal.py
114.8K
VEIf you want to crack Data Science jobs in the next 30 days, here’s the three step process which you will follow which literally no one talks about.
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#datascience #data #interview
@vee_daily19
21.7K
MEWhy Data Science Jobs are Difficult to Crack in 2025??
#datascience #machinelearning #deeplearning #artificialintelligence #generativeai #ai #data #mlops #llms #chatgpt #sql #datawarehouse #mentoring #agenticai #careers #jobs #dataanalytics #googleanalytics #analytics #promptengineering #pythonprogramming #dataengineer #azure #aws #devops #computerscience #masters #professionals
@meet_kanth
11.3K
VOComment "DATA" for the links.
You Will Never Struggle With Data Science Again
📌 Learn the most important foundations with these beginner-friendly resources:
1️⃣ Learn Python for Data Science – FreeCodeCamp’s full beginner course
2️⃣ Essence of Linear Algebra – 3Blue1Brown’s visual, intuitive playlist
3️⃣ Statistics – A Full Lecture (2025) – step-by-step breakdown of core stats concepts
Stop feeling overwhelmed by Python, statistics, or linear algebra. These tutorials simplify the fundamentals of Data Science with clear explanations, visuals, and real-world examples.
Whether you’re preparing for a career in Data Science, getting into machine learning, or just curious about data analysis, this is the fastest way to finally understand how it all fits together.
Save this post, share it, and turn confusion into clarity with Python, Stats, and Linear Algebra for Data Science 📊
@volkan.js
110.9K
DAYour Complete Data Science Roadmap in 11 Videos 🚀
🔖Save this post → Your future self will thank you
Stop jumping between courses. These 11 playlists cover EVERYTHING you need to become job-ready in Data Science & AI:
📊 Foundation Layer:
→ Python for Data Science - Nicholas Renotte (5hrs)
→ DSA in Python - CampusX (Mega Video)
→ Statistics for Data Science - Krish Naik (6hrs)
💼 Data Analytics Stack:
→ Ultimate Data Analyst Bootcamp - Alex The Analyst (24hrs) SQL | Excel | Tableau | Power BI | Python | Azure
🤖 Machine Learning & Deep Learning:
→ 100 Days of ML - CampusX
→ 100 Days of DL - CampusX
→ Neural Networks: Zero to Hero - Andrej Karpathy
⚡ Modern AI Stack:
→ FastAPI - Tech With Tim
→ Generative AI with LangChain - CampusX
→ Agentic AI with LangGraph - CampusX
Bonus: → Databricks Data Engineer Certification - FreeCodeCamp
Each playlist = One skill mastered. Follow this sequence, build projects alongside, and you'll have a portfolio that stands out.
All videos are FREE. No excuses. Just consistent effort.
Which skill are you starting with? Drop it in comments 👇
📲 Follow @datasciencebrain #datasciencebrain for Daily Notes 📝, Tips ⚙️ and Interview QA🏆
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[datascienceroadmap, airoles, mlengineerpath, datasciencejobs, analyticscareer, datatechskills, mlopsengineer, dataengineerskills, aiindustrytrends, techlearningguide]
#datascience #machinelearning #python #ai #dataanalytics #artificialintelligence #deeplearning #bigdata #agenticai #aiagents #statistics #dataanalysis #datavisualization #analytics #datascientist #neuralnetworks #100daysofcode #genai #llms #datasciencebootcamp
@datasciencebrain
17.7K
INData Scientist Salary in 2026 💸📈
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demand is rising.
companies are investing big.
and data scientists?
they’re becoming the backbone of every ai-driven decision.
2026 is the year where skills = salary.
master data + ai → unlock opportunities across every industry.
it’s one of the smartest career moves right now.
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{ data scientist salary, ai careers, data jobs 2026, career growth, tech jobs }
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#datascience #datajobs #aicareers #salarytrends #futureofwork #techcareers #machinelearning #upskillnow #career2026 #intellipaat
@intellipaat
5.3M
ONData Analytics Road map (6-9 months)
https://drive.google.com/drive/folders/17KOCp6F1JGqOCwIdryzcDykNCSu93Ltc?usp=sharing
Built from my personal interview experiences(Interviews given - 5+)
Duration - 1-2 Months - Basics
Learn basic - intermediate SQL(joins) from youtube/udemy
Basic Python from youtube/udemy/Leetcode
Basic Excel
Duration 2-3 Months - Intermediate
Practice intermediate to advanced SQL on Data Lemur/Leetcode/WiseOwl
Practice easy-intermediate python questions on Leetcode/Hackerrank
Start BI - Power BI tutorial from youtube/udemy
Duration 3-4 Months - Advanced
Learn Pandas/pyspark, practice EDA on csv files from Kaggle datasets on jupyter notebook/colab
Practice advanced SQL questions(window functions)
Build BI projects from kaggle datasets/Datacamp
Github profile to showcase your projects + LinkedIn
Theoretical knowledge on ETL pipelines/ Data warehousing concepts(Chat GPT)
Resources
SQL - Theory - W3Schools(free)/Udemy(paid), Practice - Leetcode/Data Lemur
Python - Theory - Youtube/Udemy, Practice - Leetcode(easy to medium)
Data Warehousing+ETL - Tutorials Point/Udemy, Datacamp/Chat GPT
Power BI/Tableau - Datacamp, wiseowl
Pandas/Pyspark - Datacamp, Leetcode, Kaggle
Basic Excel .
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#big4 #fyp #data #analytics #ootd #grwm
@onseventhsky
117.5K
ASFREE Data Analytics learning resources.
Seriously, start here before paying for any courses.
These are FREE & a great introduction for any skill you want to learn.
- SQL: https://www.youtube.com/watch?v=7S_tz1z_5bA
- Excel: https://www.youtube.com/watch?v=pCJ15nGFgVg
- Tableau: https://www.youtube.com/watch?v=aHaOIvR00So
- Python: https://www.youtube.com/watch?v=LHBE6Q9XlzI
#dataanalytics #dataanalyst #datascience #womenintech #aiengineering #techcareers
@askdatadawn
✨ #Data Science発見ガイド
Instagramには#Data Scienceの下に14 million件の投稿があり、プラットフォームで最も活気のあるビジュアルエコシステムの1つを作り出しています。
ログインせずに最新の#Data Scienceコンテンツを発見しましょう。このタグの下で最も印象的なリール、特に@onseventhsky, @priyal.py and @the.datascience.galからのものは、大きな注目を集めています。
#Data Scienceで何がトレンドですか？最も視聴されたReels動画とバイラルコンテンツが上部に掲載されています。
人気カテゴリー
📹 ビデオトレンド: 最新のReelsとバイラル動画を発見
📈 ハッシュタグ戦略: コンテンツのトレンドハッシュタグオプションを探索
🌟 注目のクリエイター: @onseventhsky, @priyal.py, @the.datascience.galなどがコミュニティをリード
#Data Scienceについてのよくある質問
Pictameを使用すれば、Instagramにログインせずに#Data Scienceのすべてのリールと動画を閲覧できます。あなたの視聴活動は完全にプライベートです。ハッシュタグを検索して、トレンドコンテンツをすぐに探索開始できます。
パフォーマンス分析
12リールの分析
💡 トップ投稿は平均2.3M回の再生（平均の2.8倍）
週3-5回、活動時間に定期的に投稿
コンテンツ作成のヒントと戦略
🔥 #Data Scienceは高いエンゲージメント可能性を示す - ピーク時に戦略的に投稿
✍️ ストーリー性のある詳細なキャプションが効果的 - 平均長789文字
📹 #Data Scienceには高品質な縦型動画（9:16）が最適 - 良い照明とクリアな音声を使用
✨ 多くの認証済みクリエイターが活動中（67%） - コンテンツスタイルを研究
#Data Science に関連する人気検索
🎬動画愛好家向け
Data Science ReelsData Science動画を見る
📈戦略探求者向け
Data Scienceトレンドハッシュタグ最高のData Scienceハッシュタグ
🌟もっと探索
Data Scienceを探索#statistics in data science#best data science courses 2026#scgc scg chemicals data science goals#python data science libraries#sql data science applications#data science career growth#data science course in hyderabad with placements#data science salary in us