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RAData Scientist Roadmap
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VEDATA SCIENCE ROADMAP FROM GOOGLE DATA SCIENTISTS
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#datascience #google #nodaysoff #AI #sql #python #roadmap #cheatsheet
@vee_daily19
1.2M
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
349.0K
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
50.5K
DEData Science Roadmap from a Googler❤️
Recently I spoke to several friends here in the Bay Area, one of them is a data scientist at google, some are data scientists at walmart, and a few others working in California!
Based on their 4-10 years of experience in the field, I have designed a beginner friendly roadmap:
✅Covering 4 Month Timeline
✅Topics to cover and their resources
✅Frequently asked questions
#datascience #google #softwareengineer #indiansinusa #jobsearch
@devshree.17
14.2K
ASThis 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
@askdatadawn
113.9K
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
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
111.1K
CHHere is a full roadmap on how to get started with Data Science. Comment “DATA” for the full roadmap pdf.
#datascience #machinelearning #coding #ai #university
@chrispathway
118.9K
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
60.3K
MEData Science Roadmap with Gen AI!! Save it & Share it
Follow @meet_kanth
#datascience #course #roadmap #generativeai #2026
@meet_kanth
14.9K
IN🔥 How to Become a Data Scientist in 2026
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{ data scientist roadmap, data science 2026, ai ml careers, python sql, machine learning projects }
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#datascience #datascientist #aicareers #machinelearning #intellipaat
@intellipaat
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Instagram hosts 18K posts under #Data Science Roadmap, creating one of the platform's most vibrant visual ecosystems. This massive collection represents trending moments, creative expressions, and global conversations happening right now.
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