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M13D modeling with Gaia star data 🌌 💻
#astrophotography #gaia #europeanspaceagency #esa #blender3d #animation
@m102_astro
#Erwin's Data Modeling Tutorials
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14.3K
AATop YouTube channels for Learn Power BI 📊:
1️⃣ Guy in a Cube: Guy in a Cube is a popular YouTube channel hosted by Adam Saxton and Patrick LeBlanc. They provide clear and practical tutorials, tips, and best practices for Power BI users, making it easy to understand and apply.
2️⃣ Microsoft Power BI: The official Microsoft Power BI YouTube channel is a go-to resource for in-depth insights, updates, and guidance on using Power BI, including features, updates, and new developments straight from the source.
3️⃣ Curbal: Curbal, hosted by Ruth Pozuelo, offers a wide range of Power BI tutorials and data visualization tips. Ruth’s tutorials are known for their clarity and effectiveness, making complex concepts easy to grasp.
4️⃣ BI Elite: BI Elite is known for its informative Power BI content. They cover a variety of topics, from data modeling to DAX calculations, helping users build advanced skills in Power BI.
5️⃣ SQLBI: SQLBI, created by Marco Russo and Alberto Ferrari, provides in-depth and advanced insights into Power BI, DAX, and data modeling. They are well-respected experts in the field, making their channel a valuable resource for those looking to master Power BI.
6️⃣ THE Power BI Guy: THE Power BI Guy, hosted by Parker Stevens, offers practical Power BI tutorials and tips to help users create compelling reports and dashboards. Parker’s teaching style is engaging and approachable.
💬 Comment Power BI and i will share the links Directly With You 🚀
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👍 Like, 💬 comment, 💾 save, and ↗️ share if you found this helpful!
Don’t forget to follow @aasifcodes for more such content.
#PowerBI #BusinessIntelligence, #DataVisualization #DAX #DataAnalytics #MicrosoftBI #PowerBIDesktop #BIReporting #DataModeling #datascience #dataanalyst #DashboardDesign #aasifcodes #dataanalysis
[Power BI, Business intelligence tools, Data analysis, Power BI reports, Data modeling techniques, DAX functions, Power BI Desktop, Data visualization,]
@aasifcodes
68.4K
JAComment “live” to join live Data Science Roadmap discussion tomorrow (23rd Jan) on Substack Live.
In live one hour call, I’ll be discussing and sharing with Head of Data Science/ Machine Learning - all the essential requirements for a successful Data Scientist in 2026!
Learn from people who have spent years into the field of Data Science, ML and AI!
Hope this helps!
@jam.with.ai
4.1K
CHHow to use AI to improve your stock research #charliesmoney #learntoinvest #financeai #investingwithai
@charlies.money
1.4K
SIThe easiest way to integrate complex GIS data into CAD/BIM software in just a few seconds! #TopoExport #GIS #Revit #sketcup #3d #BIM #CAD #SmartCities #3DModeling #UrbanPlanning #fypage
@si_bocahtua_
133.5K
DA💬 Comment “DATA” below to get the Ultimate Power BI Cheatsheet—for FREE!
🔥 Master Power BI & Transform Raw Data into Actionable Insights! 🚀
If you’re in Data Analytics, Business Intelligence, or Reporting, Power BI is a MUST-KNOW skill! This beginner to intermediate cheatsheet will help you:
✅ Understand DAX Functions, Data Modeling & Visualization
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❤️ Follow @data_with_anurag for more free data analytics resources & career tips! ❤️🔥
@data_with_anurag
13.0K
DAStart with Power BI — the most in-demand tool for building dashboards, analyzing data, and telling powerful stories 📊
Here’s your 4-week roadmap to master:
✅ Data cleaning with Power Query
✅ Data modeling + DAX formulas
✅ Interactive dashboards
✅ Publishing on Power BI Service
All in just 40–50 hours with FREE resources & real projects!
🎯 Perfect for beginners, job seekers & career switchers.
📌 Save this roadmap
🔁 Share with a friend
Follow @data.science.beginners
#datascience #machinelearning #python #artificialintelligence #ai #data #dataanalytics #bigdata #programming #coding #datascientist #technology #deeplearning #computerscience #datavisualization #analytics #pythonprogramming #dataanalysis #programmer #business #ml #database #statistics #powerbi
@data.science.beginners
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
88.0K
MVDid you know you can import any part of the world into Blender? I used Blosm to create this point cloud animation of the Statue of Liberty, pulling data from Google Maps and animating elements like the Staten Island Ferry. Comment ‘lessons’ if you want my full workflow and free resources.
#Blender #PointCloud #3DAnimation #GeometryNodes #cgi
@mv.nyc
66.5K
MRاین توضیحات رو از دست نده.
اول از همه اگه تازه با من آشنا شدی پیج رو از دست نده. خوراک رشد کردنه اینجا.
استفاده از ژنتیک الگوریتم میتونه به بهبود مدلسازی خیلی کمک کنه. اما نکته مهم اینه که هیچ وقت جواب نهایی رو نمیتونیم ازش بگیریم چون تو دیتاهای مختلف و مسائل مختلف مسیرها متفاوت میشن.
پس چیکار کنیم؟ اول هر الگوریتمی داری استفاده میکنی رو استفاده کن، با دانش فنی اون مسئله الگوریتمهاتو بهبود بده، حالا به صورت موازی اون الگوریتم بهینه ساز رو بیار بالا. الان دو تا خروجی داری. اینارو باهم چک کن ببین چقدر میتونی بهشون اعتماد کنی. هرکدوم بهتر بود رو بردار واسه کارت و مدل نهاییتو پیاده کن.
#ماشین_لرنینگ #هوش_مصنوعی #برنامه_نویسی #دیپ_لرنینگ #ژنتیک
@mreza_momeni
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
-------
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
119.9K
THComment “FM” to learn financial modelling for free.
⭐️Building a Career in Financial Modeling
To make a successful career in financial modeling, you need a mix of technical expertise, financial knowledge, and analytical skills.
Start by mastering Microsoft Excel, focusing on advanced functions, formulas, and financial modeling techniques. Understanding valuation methods, such as Discounted Cash Flow (DCF) and Comparable Company Analysis, along with a solid grasp of financial statements and accounting principles, is crucial.
Beyond technical proficiency, strong analytical skills, business acumen, and effective communication are key to standing out in this field.
You should be able to interpret complex data, conduct thorough analyses, and present findings clearly to both financial and non-financial stakeholders. A good financial modeler not only understands the numbers but can also create a compelling narrative that supports strategic decision-making.
#financialmodeling #financialmodelling #valuation #finance #excel #thevaluationschool
@thevaluationschool
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