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#Data Scientist Reel by @the.datascience.gal (verified account) - Here'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 sy
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@the.datascience.gal
Here’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]
#Data Scientist Reel by @sundaskhalidd (verified account) - Comment 'Projects' to get 5 Data Scientist Project ideas and a plan 👩🏻‍💻

♻️ repost to share with friends. Here is how to become a data scientist i
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@sundaskhalidd
Comment ‘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
#Data Scientist Reel by @thatsoruchi - 🚨4 Step Roadmap to become a Data Scientist 🚨

✅ Step 1 - Read about the field. A lot of people still don't know the difference between Data Analyst
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@thatsoruchi
🚨4 Step Roadmap to become a Data Scientist 🚨 ✅ Step 1 - Read about the field. A lot of people still don’t know the difference between Data Analyst and Data Scientist. Familarize yourself with Deep Learning, Artificial Intelligence, Generative AI to get an idea of what each one of them means ✅ Step 2 - Start learning Python & SQL. After having a moderate grasp on Python start learning about different Python Libraries that are useful in the field - Pandas, Numpy, Seaborn, scikit-learn etc. Here are some of the courses to help with it 👉 Learn Python, Learn SQL by Codecademy 👉 Python for Everybody by Coursera 👉 Python for Data Science and Machine Learning by Udemy 👉 SQL Tutorial by W3Schools 👉 Introduction to SQL by DataCamp ✅ Step 3 - Pick a Data Science Course and learn about different techniques used to make predictions. At the end of this step you should know the difference between Regression, Classification & Clustering problems and should be familiar with atleast 2 algorithms in each category to solve these problems. Here are some of the courses to help with it 👉 Data Science : Complete Data Science & Machine Learning by Udemy 👉 CS 109 by Harvard 👉 Machine Learning by Andrew Ng on Coursera ✅ Step 4 - Pick a sample Data Science problem statement from Kaggle and try to solve it. Once you solve it look for blogs to see how other people have solved it and identify what could have you done better. The more the better, but atleast do 3-4 problems on Kaggle. Once these basics are covered then you can be eligible for internships or entry level positions and can slowly start learning about more state of the art techniques. Keep reading more & more blogs and stay updated! 🚀 #datascience #career #datascientist #education
#Data Scientist Reel by @ananyamentors - Comment "AI" to get the job hunting tool that's saving people so much time👇

I wasted 4 months, applied to 200+ jobs. 
Not one offer.
LinkedIn messag
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@ananyamentors
Comment “AI” to get the job hunting tool that’s saving people so much time👇 I wasted 4 months, applied to 200+ jobs. Not one offer. LinkedIn messages to recruiters? Straight ignored. Resumes I spent all night tailoring? Didn’t help. 5-round interviews that ended with “we loved you but...” ghosting. Job hunting feels like a scam now - companies waste your time, hide salaries, drag you through endless loops. ‼️🚩 Smart engineers at AI startups & top tech stopped playing this game. They’re getting companies chasing ‘them’ instead. You wasting months too? Drop “AI”👇 (ai tools, ai, job hunting, engineer jobs, AI jobs, tech jobs, software engineer, job search 2026, getting ghosted, interview tips, AI startups, tech hiring, remote engineering jobs, ML engineer, data scientist hiring, startup jobs, career change tech, stop wasting time applying to jobs, how to make companies hire you, how to make companies find you, AI jobs, hiring) StanReach:8M1aw #ai #jobsearch #jobhunt #aijobs #viral
#Data Scientist Reel by @chrisoh.zip - The best projects serve a real use case

Comment "data" for all the links and project descriptions

#tech #data #datascience #ml #explore
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@chrisoh.zip
The best projects serve a real use case Comment “data” for all the links and project descriptions #tech #data #datascience #ml #explore
#Data Scientist Reel by @intellipaat (verified account) - Data 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-dri
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@intellipaat
Data Scientist Salary in 2026 💸📈 . 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. . { data scientist salary, ai careers, data jobs 2026, career growth, tech jobs } . #datascience #datajobs #aicareers #salarytrends #futureofwork #techcareers #machinelearning #upskillnow #career2026 #intellipaat
#Data Scientist Reel by @woman.engineer (verified account) - 📍How to prepare for Data Scientist role in 2026 🚀

CORE SKILLS YOU MUST MASTER: Programming You must be fluent in:

● Python

● NumPy

● Pandas

● S
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@woman.engineer
📍How to prepare for Data Scientist role in 2026 🚀 CORE SKILLS YOU MUST MASTER: Programming You must be fluent in: ● Python ● NumPy ● Pandas ● Scikit-learn Writing clean, readable, bug free code Data transformations without IDE help Expect: ● Data cleaning ● Feature extraction ● Aggregations ● Writing logic heavy code SQL Almost every Data Science role tests SQL. You should be comfortable with: ● Joins - inner, left, self ● Window functions ● Grouping & aggregations ● Subqueries ● Handling NULLs Statistics & Probability: ● Probability distributions ● Hypothesis testing ● Confidence intervals ● A/B testing ● Correlation vs causation ● Sampling bias Machine Learning Fundamentals. You must know: ● Supervised vs Unsupervised learning ● Regression & Classification ● Bias Variance tradeoff ● Overfitting / Underfitting Evaluation metrics: ● Accuracy ● Precision / Recall ● F1-score ● ROC-AUC ● RMSE FEATURE ENGINEERING & DATA UNDERSTANDING: ● This is where strong candidates stand out. ● Handling missing data ● Encoding categorical variables ● Feature scaling ● Outlier treatment CORE SKILLS YOU MUST MASTER: Programming You must be fluent in: ● Python ● NumPy ● Pandas ● Scikit-learn Writing clean, readable, bug free code Data transformations without IDE help Expect: ● Data cleaning ● Feature extraction ● Aggregations ● Writing logic heavy code SQL Almost every Data Science role tests SQL. You should be comfortable with: ● Joins - inner, left, self ● Window functions ● Grouping & aggregations ● Subqueries ● Handling NULLs Statistics & Probability: ● Probability distributions ● Hypothesis testing ● Confidence intervals ● A/B testing ● Correlation vs causation ● Sampling bias Machine Learning Fundamentals. You must know: ● Supervised vs Unsupervised learning ● Regression & Classification ● Bias Variance tradeoff ● Overfitting / Underfitting Evaluation metrics: ● Accuracy ● Precision / Recall ● F1-score ● ROC-AUC ● RMSE +++ for more look at the comment #datascientist #aiengineer #softwareengineer #datascience #dataengineer
#Data Scientist Reel by @young4stem - Where are all our data scientists at! 👀👇🏻

#young4stem #datascience #job #reel #stem #computerscience
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@young4stem
Where are all our data scientists at! 👀👇🏻 #young4stem #datascience #job #reel #stem #computerscience
#Data Scientist Reel by @datasciencebrain (verified account) - The real salary of a data scientist in Bangalore. Credit: @ suman_mpm YouTube @suman_mpm

The Unbelievable Perks Exclusive Instagram Subscribers🔻

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@datasciencebrain
The real salary of a data scientist in Bangalore. Credit: @ suman_mpm YouTube @suman_mpm The Unbelievable Perks Exclusive Instagram Subscribers🔻 ➡️ Resume review & ATS Editable Resume Template ➡️ Priority replys ➡️ Exclusive QA ➡️ Job Postings ➡️ MIT + Stanford notes ➡️ Data Science Masterclass PDF Notes ⭐️ And many more just for Rs.45/month #datascience #machinelearning #python #ai #dataanalytics #artificialintelligence #deeplearning #bigdata #agenticai #aiagents #statistics #dataanalysis #datavisualization #analytics #datascientist #neuralnetworks #100daysofcode #genai #llms #datasciencebootcamp
#Data Scientist Reel by @onseventhsky (verified account) - A day as data analyst
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#fypage #explorepage✨ #viral #trending #vlog #office #wfo #gwrm #bollywood #ethnic #desi #corporate  #o
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@onseventhsky
A day as data analyst . . . . . . . . . . . . #fypage #explorepage✨ #viral #trending #vlog #office #wfo #gwrm #bollywood #ethnic #desi #corporate #ootd #fashiongram #data #analyst
#Data Scientist Reel by @random_code_83 - Data Scientist Roadmap 
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#reels #viral #trendingreels #newcollection 
#viralvideos #reelsvideo #reelsinstagram #shorts #trending #viralreels
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Data Scientist Roadmap . . . . . #reels #viral #trendingreels #newcollection #viralvideos #reelsvideo #reelsinstagram #shorts #trending #viralreels
#Data Scientist Reel by @thatgurlceo (verified account) - 1. Artificial Intelligence Specialist: 
People who build, train, and manage AI systems across industries

2. Data Analyst and Data Scientist
Experts w
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@thatgurlceo
1. Artificial Intelligence Specialist: People who build, train, and manage AI systems across industries 2. Data Analyst and Data Scientist Experts who turn data into decisions for businesses 3. Cybersecurity Expert Protecting companies and individuals from digital threats 4. Software Developer Building apps, platforms, and digital tools that power daily life 5. Digital Marketing Strategist Helping brands grow online through content, ads, and analytics ( comment “theme page” and i will show you how ) 6. Content Creator and Influencer Building personal brands and communities across social platforms 7. Product Manager Bridging business, technology, and user needs to build products people want 8. UX UI Designer Designing user friendly digital experiences 9. Cloud Computing Engineer Managing cloud systems used by companies worldwide 10. E commerce Specialist Running and scaling online stores and digital products 11. Health and Wellness Professional Including mental health coaches, nutrition experts, and fitness specialists 12. Renewable Energy Specialist Working on solar, wind, and sustainable energy solutions 13. Financial Analyst and Investment Advisor Helping individuals and businesses manage and grow wealth 14. Online Educator and Course Creator Teaching skills through digital platforms 15. Remote Operations Manager Managing distributed teams and online businesses The next 10 years will be ruled by tech, data, and digital skills. Careers in AI, software, cybersecurity, e commerce, content creation, and renewable energy are booming. You can start now with online courses, small projects, freelancing, or building a personal brand. Learning, practicing, and sharing your work is the fastest way to get ahead. Comment “theme page” and i will teach you how to grow your personal brand 🫶🏻

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L'enorme raccolta #Data Scientist su Instagram presenta i video più coinvolgenti di oggi. I contenuti di @onseventhsky, @thatgurlceo and @ananyamentors e altri produttori creativi hanno raggiunto 2.6 million post a livello globale.

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