222.6K
ECComment roadmap to get sent my free and complete data engineering roadmap!
@eczachly
#Data Engineering Tools
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13.6K
MEBest Data Engineering Tool For 2025
"Top Data Engineering Tools to Master in 2025"
🗓️ Early-Bird Offer on My Live Weekday Data Engineer Projects-Data Engineer Focused Program with Internship, To learn more, Whatsapp Us at: +919347125815 / +919121516181
#DataEngineering #TechTrends #DataTools #BigData #ETLTools #DataPipelines #CloudDataEngineering #DataProcessing #DataIntegration #DataOps #DataArchitecture #ApacheSpark #Airflow #Hadoop #Snowflake #DataAnalytics #DataScience #CloudComputing #DataEngineeringTools #Tech2025 #MachineLearning #DataWarehousing
@meet_kanth
168.5K
HU🚀 Day 1: Noob to Pro Data Engineer 🚀
Started my journey today! 🔥 Learned about Apache Spark and how it helps solve the 3V problem (Volume, Velocity, Variety). Also compared Hadoop vs. Spark—turns out Spark is way faster! ⚡
💡 Key Takeaways:
✅ Spark processes data in-memory, making it much faster than Hadoop.
✅ Hadoop is great for batch processing, but Spark shines in real-time analytics.
✅ Practiced SQL on LeetCode & started working on my Azure Data Engineering project.
[Azure, cloud, learn, study, hardwork, consistency, hustle, motivation, job, employment, Microsoft azure, hadoop, dpark, daily vlog, daily study, unemployment, mnc, jio, corporate]
@hustleuphoney
16.7K
LEYou want to build the future of AI.
But remember: you can’t build the "Big AI" without mastering the foundations. Machine Learning is Step #1. Stop being a spectator and start being an engineer.
Master ML today. Link in Bio. 🔗
#MachineLearning #AIEngineer #SiliconValley #LondonTech #LearnToCode #AI #TechGrind #USATech #CodingLife #DataScience
@learnsmartx
408.7K
DAData engineering vs Data science — not the same thing.
One builds the infrastructure, pipelines, and tools.
The other uses the data to uncover patterns and drive decisions.
If you’re choosing between the two, it’s not about “better” — it’s about what fits your brain, your goals, and your day-to-day work.
@data_engineer_academy
11.3K
SDIf you want to build data engineering projects, here are 3 developed by me (using Python and SQL) that you can try too:
1. Web to AWS S3
2. CSV to Postgres (with Airflow)
3. REST API to MySQL
Which one do you want me to create a step by step YouTube tutorial on?
(YouTube: Stephen | Data)
@sdw.online
169.6K
SWThe best resources to learn dsa for coding visually! #coding #cs #softwareengineer #learntocode #codingforbeginners #programmer #dev #dsa
@swerikcodes
124.4K
NIComment "AUTOMATION" to get this AI Extension that can build full n8n Automations for you by just chatting.
Tired of building n8n automations from scratch, stop immediately.
I also used to spend hours dragging nodes around. Wiring triggers. Fixing errors. Not anymore.
Meet n8nChat. It's a Chrome extension. You chat with it. And it builds your whole workflow.
Just tell it what you want. Like this: "Grab leads from Google Sheets. Score them with AI. Ping Slack for the hot ones." Seconds later. Done. Ready to run.
Or take a screenshot of any workflow. Paste it in. It copies it perfectly. In one minute flat. No more guessing.
Need to fix a bug? Chat again. "Make this email node stop crashing." It edits right there.
The good news? It works on your stuff too.
I tried it last week. Had a messy Airtable sync. Told it the problem. Fixed in 20 seconds. Like magic. Easier than tying your shoes.
Why drag and drop? When you can just talk.
Here's what it does for you:
1. Builds new flows from your words
2. Copies screenshots to n8n
3. Debugs your broken nodes
4. Tweaks old workflows fast
Think of it like this. Building by hand is like cooking from raw ingredients. n8nChat? It's your personal chef. You say the dish. It cooks.
Self-hosted or cloud. Works anywhere. Free to try.
I ditched my scratch builds after one test. You should too.
Want to give it a shot? Grab it from the Chrome store. Tell me your first idea.
#n8n #aiautomations #n8nchat #n8naiagents #nicksaraev
@nick_saraev
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
463.8K
DILast one is a must for beginners!
Comment “claude” for all the links
Here’s a list of free websites you gotta bookmark if you wanna learn Claude or Claude Code in 2026 #aitools #claude #claudecode
@digitalsamaritan
21.0K
ALComment “AI” and I’ll send you the full prompts file and the link to Emergent AI.
@emergentlabs
#emergent #ai #automation #development #softwareengineering #webdev
@alaa.alaff
333.8K
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
✨ #Data Engineering Tools Discovery Guide
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Popular Categories
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Analysis of 12 reels
💡 Top performing posts average 919.7K views (2.5x above average). Moderate competition - consistent posting builds momentum.
Post consistently 3-5 times/week at times when your audience is most active
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