33 Best Tweets About Data Science (2026)

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Jainam Parmar

@aiwithjainam · Jun 26, 2026

All-time1.2KView on X

10 free textbooks from MIT, Stanford, and Berkeley that you can download legally right now. → Introduction to Linear Algebra - Gilbert Strang, MIT The textbook behind the most-watched math course in history. 20 million views on OCW. Every ML engineer learned this math from one… Read more

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Matt Dancho (Business Science)

@mdancho84 · Apr 21, 2026

All-time432.8View on X

You only need to read four books to truly get what’s going on in data science and AI: • Designing Machine Learning Systems by Chip Huyen • AI Engineering by Chip Huyen • Practical Statistics for Data Scientists by Peter Bruce, Andrew Bruce, and Peter Gedeck • Hands-On Machine… Read more

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Lenny Rachitsky

@lennysan · May 13, 2026

All-time176.4View on X

Not enough people are talking about how much AI is impacting the role of data science. I was chatting with a DS friend, and he said that most of his team's work now is reviewing half-assed AI data analysis from PMs and engineers. And that 50% of the time, that analysis is wrong.… Read more

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Vaishnavi

@_vmlops · May 25, 2026

All-time128.9View on X

JPMORGAN OPEN-SOURCED THEIR INTERNAL PYTHON TRAINING used to train jpmorgan's own business analysts and traders now it's sitting on github with 13.2k stars, open for anyone ▫️ intro to numerical computing in python ▫️ data visualization with financial datasets ▫️ real… Read more

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Benjamin Bennett Alexander

@RealBenjizo · Jan 22, 2026

All-time116.1View on X

⚠️The uncomfortable truth about learning data analysis You can read about data analysis for years and still freeze in front of a dataset. Because reading is safe. Doing is not. Most tutorials teach you what buttons to press. Very few teach you how to think when the data is… Read more

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Jian Wang

@jianw851 · Jun 3, 2026

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If I were starting Data Science in 2026, I'd ignore 99% of the noise and follow this roadmap. Not random YouTube videos. Not 50 different courses. Just learning from some of the best institutions and companies in the world: 🏛️ Harvard 🏛️ Stanford 🏛️ MIT 🏢 Microsoft 🏢 Google 🏢… Read more

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Tech with Mak

@techNmak · Jun 29, 2026

All-time100.7View on X

I've seen people spend $15,000 on AI/ML bootcamps and still not know this stuff. These playlists cover it for free. In the right order: 1./ Statistics & Data Analysis You can't model what you don't understand. Start here before you touch anything else. Playlist:… Read more

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Shushant Lakhyani

@shushant_l · Jul 22, 2026

All-time90.2View on X

I'm amazed most people still analyze data manually. Here's how to use AI to analyze anything in minutes. --- 1. AI can analyze documents, PDFs, spreadsheets, images, research papers, and much more. --- 2. Start by defining one clear analysis goal before asking AI anything.… Read more

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Indu Tripathi

@InduTripat82427 · May 22, 2026

All-time77.6View on X

What Have the World's Most Expensive Finance Teams Open-Sourced on GitHub? How Can Ordinary People Understand Quant Trading? Diving Right In Is the Fastest Way Top-tier quant and high-frequency trading firms like Jane Street, Goldman Sachs, J.P. Morgan, and others have released… Read more

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J.A Olaoye

@JA_Olaoye · Jul 28, 2026

All-time76.8View on X

If you don’t have a project to work on, here’s a portfolio idea that closely resembles a real-world data engineering scenario. Imagine you’re working as a Data Engineer for a bank. The Data Science team needs customer data to build a customer segmentation model, while the… Read more

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Darshil | Data Engineer👨🏻‍🔧

@parmardarshil07 · Mar 2, 2026

All-time68.2View on X

In 2018, I used CSV files and cron jobs. In 2019, I used SQL and Python. In 2020, I used Spark and AWS. In 2024, I used Airflow and Snowflake In 2026, I'm using AI agents to generate pipelines. 8 years. 8 completely different stacks. I wanted to become a data scientist. I… Read more

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Zach Wilson

@Zachly · Jan 8, 2026

All-time63.7View on X

Conceptual knowledge is more important than tooling! Spark is a means of distributed compute Airflow is a means of job orchestration dbt is a means of data quality Tableau is a means of data visualization Iceberg is a means of data lake storage Flink is a means of stream… Read more

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Shalini Goyal

@goyalshaliniuk · Jun 3, 2026

All-time62.0View on X

Behind Every AI System Are 5 Key Roles Working Together From collecting data to deploying intelligent models, every AI project succeeds when these five roles align. Here is how each contributes to the AI Development Pipeline - 1. Data Engineer Designs and manages data… Read more

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Python Developer

@PythonDvz · Apr 5, 2026

All-time52.2View on X

Data Engineer vs Data Scientist: What’s the Difference? One builds the data foundation. The other turns data into intelligence. A Data Engineer designs pipelines, manages large-scale systems, ensures data reliability, and works heavily with cloud and distributed frameworks.… Read more

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Python Developer

@PythonDvz · Apr 4, 2026

All-time43.9View on X

📚 The Ultimate Guide to Python Libraries for Data Science! 🐍✨ Do you work with data? This infographic is your new best friend. I’ve compiled the 9 essential libraries that will make your life easier every step of the way: 1️⃣ NumPy & Pandas: For taming and manipulating large… Read more

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Julie Zhuo

@joulee · Apr 3, 2026

All-time27.2View on X

A recent unlock for me on AI + data analysis: think less about prompting. Think more about cooking. See a lot of people use AI like a microwave. They drop in one chart, one problem statement, one KPI dip, and type: “Think like a senior analyst. What should I do?” Then they hit… Read more

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Kaka 👩‍💻

@databykaka · Mar 30, 2026

All-time22.9View on X

Data analysis doesn’t start with dashboards. It starts with: • understanding the data • defining the problem • asking the right questions Dashboards come LAST

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freeCodeCamp.org

@freeCodeCamp · Jan 21, 2026

All-time21.1View on X

The R programming language is a powerful tool for statistics and data analysis. And in this tutorial, Tiffany teaches you how to use R along with ggplot2 to create boxplots to model data. You'll inspect, clean, and prepare the data, perform exploratory data analysis, build some… Read more

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Peter Yang

@petergyang · Jan 19, 2026

All-time16.9View on X

My top 5 takeaways from Sumeet (Brex) on building an AI data analyst with Claude Code: 1. Set up Claude Code to augment every step of data analysis Monitor dashboards and queries -> Explore metric changes -> Craft a good story -> Size potential impact. 2. The #1 mistake:… Read more

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Priyanka Vergadia

@pvergadia · Jul 23, 2026

All-time14.9View on X

Every enterprise AI platform pitch eventually runs into the same wall: "we haven't built out our data stack yet." Here are some of my thoughts! A well-built platform should handle both cases: bolt onto whatever data and modeling systems you've already got, or, if those… Read more

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Shushant Lakhyani

@shushant_l · Jul 30, 2026

All-time13.3View on X

I'm amazed most people only use Excel for basic calculations. Here's the complete Excel guide to analyze data, automate work, and become job-ready in 2026. --- 1. Learn the difference between workbooks, worksheets, ranges, the formula bar, and the ribbon first. --- 2. Master… Read more

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Matt Dancho (Business Science)

@mdancho84 · Apr 30, 2026

All-time8.0View on X

90% of forecasting advice is wrong. It focuses entirely on models. ARIMA vs Prophet vs XGBoost vs Deep Learning. But after working with dozens of data science teams I can tell you — the model is almost never the problem. The workflow is. And until you fix the workflow, a… Read more

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Kirk Borne

@KirkDBorne · Mar 28, 2026

All-time7.3View on X

“High-Dimensional Probability — An Introduction with Applications in Data Science”, by Roman Vershynin 🌟🌟🌟 UPDATED 341-page PDF 2nd Edition — download from the author's website: https://t.co/NKWeZTOvNF 🌟🌟🌟 #Statistics #Optimization #ML #MachineLearning #Mathematics… Read more

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Hugo Bowne-Anderson

@hugobowne · May 25, 2026

All-time7.1View on X

Fifteen years in, most data science teams are still fighting to not be seen as a cost center. @twiecki (@pymc_labs) thinks we're one shift away from finally getting the version we were promised and three things are converging to make it real: 1. Decision science is finally… Read more

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divyansh tiwari

@DivyanshT91162 · Aug 8, 2026

All-time6.9View on X

ML Resources for Beginners: Python - Python Full Course — freeCodeCamp https://t.co/CMcENmD9Lc - Python for Data Science — freeCodeCamp https://t.co/V1d7eJYVFj Maths - Linear Algebra — 3Blue1Brown https://t.co/oyWUqU7q1l - Statistics & Probability — Khan Academy… Read more

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Valeriy M., PhD, MBA, CQF

@predict_addict · Mar 25, 2026

All-time5.7View on X

The Statistical Test That Launched Spectral Analysis (1898) In 1898 — decades before Fisher, long before modern signal processing, and half a century before formal time-series theory — Arthur Schuster quietly solved a problem that still haunts data science: Read more:… Read more

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Alex Freberg

@Alex_TheAnalyst · Jun 4, 2026

All-time4.4View on X

Early in my career, I worked on double blind studies and we relied heavily on patient surveys - but patients don't always respond. So we would often sample data. Sampling is the practice of analyzing a subset of your data to draw conclusions about the whole. And it works… Read more

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Kierra | Data Conversationalist🎙

@iamKierraD · Mar 22, 2026

All-time3.5View on X

Become a data/business analyst. SQL, data visualization tool, excel. Build dashboards in the industry you want to be a data analyst in…focus them on common pain points in the industry. Ex: checking employee retention in HR, bed occupancy in hospitals(healthcare), etc Put this on… Read more

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Kirk Borne

@KirkDBorne · Mar 30, 2026

All-time1.5View on X

🏆The Kaggle Book — Master Data Analysis and Data Science Competitions with Machine Learning, GenAI, & LLMs [2nd Edition]: https://t.co/ZjNKsvFl06 𝗧𝗮𝗯𝗹𝗲 𝗼𝗳 𝗖𝗼𝗻𝘁𝗲𝗻𝘁𝘀: 🔶Introducing Data Science Competition 🔷Organizing Data with Datasets 🔶Work & Learn with Kaggle Notebooks 🔷Kaggle… Read more

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Pete Soderling

@petesoder · Mar 6, 2026

All-time1.3View on X

How it feels to use new gen AI BI tools on company data. I’ve been drinking the @motherduck MCP and @_hex_tech Threads kool-aid and I’m starting to think we’ve turned a big corner for democratized data analysis. For years we’ve trained anyone who doesn't write SQL to think of… Read more

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Khalil Afridi

@khalilApriday · Jan 25, 2026

All-time0.99View on X

𝗗𝗮𝘁𝗮 𝗥𝗼𝗹𝗲𝘀 vs 𝗧𝗼𝗼𝗹𝘀 — 𝗪𝗵𝗮𝘁 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 & 𝗪𝗵𝘆 One common mistake learners make 👇 Learning tools randomly without understanding the role they’re meant for. Here’s a quick, practical mapping of data roles to the tools they actually use: 🔹 Data Analyst → Excel, SQL, Power… Read more

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Nick Singh | The Data Science Guy 📕

@NickSinghTech · Jan 22, 2026

All-time0.85View on X

People underestimate the “Data” part of Data Science. Most of the work in real-world Data Science is focussed on: • acquiring the data • understanding the data • cleaning the data Not building fancy predictive models. Plan accordingly.

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Nick Singh | The Data Science Guy 📕

@NickSinghTech · Mar 18, 2026

All-time0.47View on X

Get more Tinder dates using Data Science 😈 This is a FANTASTIC portfolio project because: ✔️ they built interesting data visualizations ✔️ they solved their own pain point ✔️ they scraped + cleaned real-world data ✔️ they deployed their ML model to production

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