222.8K
ECComment roadmap to get sent my free and complete data engineering roadmap!
@eczachly
#Data Engineer Tools List
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トレンドリール
(12)
1.4M
NAI need Followers 🥲
Feeling lost in the jungle of AI tools, frameworks, and APIs for mobile apps?
You’re not alone.
That’s why I mapped it all out—so you can see exactly how everything fits together:
🔹 Frontend: Flutter, React Native, Swift, Kotlin
🔹 On-Device AI: TensorFlow Lite, Core ML, ML Kit
🔹 Cloud Platforms: AWS, GCP, Firebase, Supabase
🔹 LLM / Generative AI APIs: Gemini, Hugging Face, OpenAI, Vertex AI, Bedrock
🔹 Databases: Firestore, Pinecone, ChromaDB, PostgreSQL
🔹 Agent Frameworks: LangChain, LlamaIndex, GenKit
🔹 APIs: Firebase Functions, FastAPI, Lambda, Amplify, Cloud Run
🔹 Memory / Storage: SQLite, Core Data
🔹 Distribution: App Store, Play Store
💡 Why this matters: Whether you’re just starting with Flutter or scaling a Firebase + AI app, this roadmap shows how the pieces connect: and how to ship smarter apps faster.
👇 Curious if I make a deep dive post on one part of this roadmap, which area should I cover first?
Follow @navokitech
#softwareengineer #mobileappdevelopment #peoplewhocode #100daysofcode #navoki
#careertips #mobiledev #mobiledevelopment #mobileappdevelopment #appdeveloper #careertips #programming #codinglife #thedevlife #programmerlife #programminglife #developerlife #girlswhocode #programmerslife💻
#generativeai #aicreator #learnai #roadmap
@navokitech
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
530.4K
SUPart 1 Coding Series ✨ 3 SQL tools you should know 📊 Follow @sundaskhalidd for data science, tech, and AI educational content✨
#sql #learntocode #datascience #dataanalyst #python #datascientist #dataengineer #chagpt #bard #ai #learndatascience #dataanalytics #dataanalysis #codinglife #programminglife
@sundaskhalidd
1.4M
SALearn these to become a data analyst!
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#canada #canadajobs #canadastudents #canadalife #data #dataanalytics #datascience
@sahilgogna_
19.3K
LAHow to be a Data Engineer 🚀✅
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Follow @lastmomenttuition for more such videos 😊❤️
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[career, success, coding challenge, tips, earn in college, growth, jobs, internship,ai] ✨✨
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#tech #career #growth #study #ai #upskill #coding #trending #new #reel #explore #opportunity #peoplewhocode #booming #software #engineer #explorepage✨ #basics #school #gen #codingislife #codingisfun #motivation #dataengineer #dataengineering #lastmomenttuitions #sumersinghshow
@lastmomenttuition
318
KAReposting:
Being a Data Engineer in 2025 doesn’t mean you use every tool in the modern data stack.
But it often feels like recruiters expect you to. From Kafka to Snowflake, from Airflow to dbt, the list keeps growing. & &
While no one uses everything on every project, having broad awareness and hands-on experience with a few key tools can go a long way.
Take the buzzwords with a pinch of salt, and focus on building strong fundamentals.
#data #engineering #2025
Culled from Ankit Bansal , Founder of NamasteSQL.com
@kassim_jimoh
1.1M
CI📸 #REPOST - Credits: @electrifywithayesha
Here are my favorite free, beginner-friendly software tools for Electrical Engineers with plenty of online resources to help you get started:
KiCAD: For schematic capture and PCB layout. Tons of tutorials and templates are available, including Shawn Hymel’s Digikey video series.
LTSpice: For analog electronic circuit simulations. It has a vast library of parts, example circuits, and plenty of free tutorials online.
Onshape: For 3D modeling of components and PCB enclosures. No download is required, and a free maker license is available. The Onshape Learning Center offers free tutorials.
SMath Studio: A free MATHCAD alternative for quick circuit calculations. It's easy and intuitive, with lots of tutorials on their website.
STM32Cube : The Arduino IDE for Arduino-based platforms and Thonny for MicroPython are great for beginners. For the next step above, I highly recommend STMCube. It has many tutorials, templates and makes peripheral configurations and code generation easy.
Bonus Tools:
TeraTerm for serial data logging
Octave as a MATLAB alternative
FEMM for Finite Element Analysis
Let me know in the comments which software you love or if you discovered something new from this list!
°°° °°° °°°
Like ❤️, share 📨, follow 👥
DM me for permission to repost ✔️
#engineeringtips #engineeringresources #internship #engineeringstudents #helpfultips #electricalengineering #kicad #ltspice #onshape #stm32 #arduino #micropython #matlab #gnuoctave #teraterm #femm #stmcube #smathstudio #arduinoide #arduinotutorial #arduinofun #engineeringstudent #engineeringlife #engineertools #engineeringprojects #electronics #diyelectronics
@circuitry_passion
683.3K
SSWhat did I miss? Let's discuss ⤵️
@sshirg
26.9K
SSTop 5 tools every software engineer should have!
@getpostman @jetbrains @mirohq
@sshirg
52.9K
SAData Engineer Resources ✅
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#canada #canadajobs #jobsincanada #dataengineer #data #resources
@sahilgogna_
842.3K
SURepost to share with friends ♻️ Here’s how to become a data analyst in 2026 and beyond? 📈 The original video was 5 minutes long and I had to cut it down to 3 minutes because instagram. One part that got cut off was the job market. Should I post a part 2?
what are other skills that would you add to the list??
#dataanalysis #dataanalyst #sql #python
@sundaskhalidd
✨ #Data Engineer Tools List発見ガイド
Instagramには#Data Engineer Tools Listの下にthousands of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 Engineer Tools List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@sahilgogna_, @navokitech and @the.datascience.galからのものは、大きな注目を集めています。
#Data Engineer Tools List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: @sahilgogna_, @navokitech, @the.datascience.galなどがコミュニティをリード
#Data Engineer Tools Listについてのよくある質問
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パフォーマンス分析
12リールの分析
💡 トップ投稿は平均1.3M回の再生（平均の2.0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 Engineer Tools List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
📹 #Data Engineer Tools List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
✍️ 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581文字
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