#how to learn data science

[hackeocafe]

How To Learn Math for Machine Learning FAST (Even With Zero Math Background)

I dropped out of high school and managed to became an Applied Scientist at Amazon by self-learning math (and other ML skills). In this video I'll show you exactly how I did it, sharing the resources and study techniques that worked for me, along with practical advice on what math you actually need (and don't need) to break into machine learning and data science.

[opens-up-4-nobody]

...

[agileseen24]

"From Passion to Profession: Steps to Enter the Tech Industry"

How to Break into the Tech World: Your Comprehensive Guide

In today’s fast-paced digital landscape, the tech industry is thriving and full of opportunities. Whether you’re a student, a career changer, or someone passionate about technology, you may be wondering, “How do I get into the tech world?” This guide will provide you with actionable steps, resources, and insights to help you successfully navigate your journey.

Understanding the Tech Landscape

Before you start, it's essential to understand the various sectors within the tech industry. Key areas include:

Software Development: Designing and building applications and systems.

Data Science: Analyzing data to support decision-making.

Cybersecurity: Safeguarding systems and networks from digital threats.

Product Management: Overseeing the development and delivery of tech products.

User Experience (UX) Design: Focusing on the usability and overall experience of tech products.

Identifying your interests will help you choose the right path.

Step 1: Assess Your Interests and Skills

Begin your journey by evaluating your interests and existing skills. Consider the following questions:

What areas of technology excite me the most?

Do I prefer coding, data analysis, design, or project management?

What transferable skills do I already possess?

This self-assessment will help clarify your direction in the tech field.

Step 2: Gain Relevant Education and Skills

Formal Education

While a degree isn’t always necessary, it can be beneficial, especially for roles in software engineering or data science. Options include:

Computer Science Degree: Provides a strong foundation in programming and system design.

Coding Bootcamps: Intensive programs that teach practical skills quickly.

Online Courses: Platforms like Coursera, edX, and Udacity offer courses in various tech fields.

Self-Learning and Online Resources

The tech industry evolves rapidly, making self-learning crucial. Explore resources like:

FreeCodeCamp: Offers free coding tutorials and projects.

Kaggle: A platform for data science practice and competitions.

YouTube: Channels dedicated to tutorials on coding, design, and more.

Certifications

Certifications can enhance your credentials. Consider options like:

AWS Certified Solutions Architect: Valuable for cloud computing roles.

Certified Information Systems Security Professional (CISSP): Great for cybersecurity.

Google Analytics Certification: Useful for data-driven positions.

Step 3: Build a Portfolio

A strong portfolio showcases your skills and projects. Here’s how to create one:

For Developers

GitHub: Share your code and contributions to open-source projects.

Personal Website: Create a site to display your projects, skills, and resume.

For Designers

Design Portfolio: Use platforms like Behance or Dribbble to showcase your work.

Case Studies: Document your design process and outcomes.

For Data Professionals

Data Projects: Analyze public datasets and share your findings.

Blogging: Write about your data analysis and insights on a personal blog.

Step 4: Network in the Tech Community

Networking is vital for success in tech. Here are some strategies:

Attend Meetups and Conferences

Search for local tech meetups or conferences. Websites like Meetup.com and Eventbrite can help you find relevant events, providing opportunities to meet professionals and learn from experts.

Join Online Communities

Engage in online forums and communities. Use platforms like:

LinkedIn: Connect with industry professionals and share insights.

Twitter: Follow tech influencers and participate in discussions.

Reddit: Subreddits like r/learnprogramming and r/datascience offer valuable advice and support.

Seek Mentorship

Finding a mentor can greatly benefit your journey. Reach out to experienced professionals in your field and ask for guidance.

Step 5: Gain Practical Experience

Hands-on experience is often more valuable than formal education. Here’s how to gain it:

Internships

Apply for internships, even if they are unpaid. They offer exposure to real-world projects and networking opportunities.

Freelancing

Consider freelancing to build your portfolio and gain experience. Platforms like Upwork and Fiverr can connect you with clients.

Contribute to Open Source

Engaging in open-source projects can enhance your skills and visibility. Many projects on GitHub are looking for contributors.

Step 6: Prepare for Job Applications

Crafting Your Resume

Tailor your resume to highlight relevant skills and experiences. Align it with the job description for each application.

Writing a Cover Letter

A compelling cover letter can set you apart. Highlight your passion for technology and what you can contribute.

Practice Interviewing

Prepare for technical interviews by practicing coding challenges on platforms like LeetCode or HackerRank. For non-technical roles, rehearse common behavioral questions.

Step 7: Stay Updated and Keep Learning

The tech world is ever-evolving, making it crucial to stay current. Subscribe to industry newsletters, follow tech blogs, and continue learning through online courses.

Follow Industry Trends

Stay informed about emerging technologies and trends in your field. Resources like TechCrunch, Wired, and industry-specific blogs can provide valuable insights.

Continuous Learning

Dedicate time each week for learning. Whether through new courses, reading, or personal projects, ongoing education is essential for long-term success.

Conclusion

Breaking into the tech world may seem daunting, but with the right approach and commitment, it’s entirely possible. By assessing your interests, acquiring relevant skills, building a portfolio, networking, gaining practical experience, preparing for job applications, and committing to lifelong learning, you’ll be well on your way to a rewarding career in technology.

Embrace the journey, stay curious, and connect with the tech community. The tech world is vast and filled with possibilities, and your adventure is just beginning. Take that first step today and unlock the doors to your future in technology!

contact Infoemation wensite: https://agileseen.com/how-to-get-to-tech-world/ Phone: 01722-326809 Email: info@agileseen.com

[55-murat-55]

2500 beğeni!

[education43]

What Are the Qualifications for a Data Scientist?

In today's data-driven world, the role of a data scientist has become one of the most coveted career paths. With businesses relying on data for decision-making, understanding customer behavior, and improving products, the demand for skilled professionals who can analyze, interpret, and extract value from data is at an all-time high. If you're wondering what qualifications are needed to become a successful data scientist, how DataCouncil can help you get there, and why a data science course in Pune is a great option, this blog has the answers.

The Key Qualifications for a Data Scientist

To succeed as a data scientist, a mix of technical skills, education, and hands-on experience is essential. Here are the core qualifications required:

1. Educational Background

A strong foundation in mathematics, statistics, or computer science is typically expected. Most data scientists hold at least a bachelor’s degree in one of these fields, with many pursuing higher education such as a master's or a Ph.D. A data science course in Pune with DataCouncil can bridge this gap, offering the academic and practical knowledge required for a strong start in the industry.

2. Proficiency in Programming Languages

Programming is at the heart of data science. You need to be comfortable with languages like Python, R, and SQL, which are widely used for data analysis, machine learning, and database management. A comprehensive data science course in Pune will teach these programming skills from scratch, ensuring you become proficient in coding for data science tasks.

3. Understanding of Machine Learning

Data scientists must have a solid grasp of machine learning techniques and algorithms such as regression, clustering, and decision trees. By enrolling in a DataCouncil course, you'll learn how to implement machine learning models to analyze data and make predictions, an essential qualification for landing a data science job.

4. Data Wrangling Skills

Raw data is often messy and unstructured, and a good data scientist needs to be adept at cleaning and processing data before it can be analyzed. DataCouncil's data science course in Pune includes practical training in tools like Pandas and Numpy for effective data wrangling, helping you develop a strong skill set in this critical area.

5. Statistical Knowledge

Statistical analysis forms the backbone of data science. Knowledge of probability, hypothesis testing, and statistical modeling allows data scientists to draw meaningful insights from data. A structured data science course in Pune offers the theoretical and practical aspects of statistics required to excel.

6. Communication and Data Visualization Skills

Being able to explain your findings in a clear and concise manner is crucial. Data scientists often need to communicate with non-technical stakeholders, making tools like Tableau, Power BI, and Matplotlib essential for creating insightful visualizations. DataCouncil’s data science course in Pune includes modules on data visualization, which can help you present data in a way that’s easy to understand.

7. Domain Knowledge

Apart from technical skills, understanding the industry you work in is a major asset. Whether it’s healthcare, finance, or e-commerce, knowing how data applies within your industry will set you apart from the competition. DataCouncil's data science course in Pune is designed to offer case studies from multiple industries, helping students gain domain-specific insights.

Why Choose DataCouncil for a Data Science Course in Pune?

If you're looking to build a successful career as a data scientist, enrolling in a data science course in Pune with DataCouncil can be your first step toward reaching your goals. Here’s why DataCouncil is the ideal choice:

Comprehensive Curriculum: The course covers everything from the basics of data science to advanced machine learning techniques.

Hands-On Projects: You'll work on real-world projects that mimic the challenges faced by data scientists in various industries.

Experienced Faculty: Learn from industry professionals who have years of experience in data science and analytics.

100% Placement Support: DataCouncil provides job assistance to help you land a data science job in Pune or anywhere else, making it a great investment in your future.

Flexible Learning Options: With both weekday and weekend batches, DataCouncil ensures that you can learn at your own pace without compromising your current commitments.

Conclusion

Becoming a data scientist requires a combination of technical expertise, analytical skills, and industry knowledge. By enrolling in a data science course in Pune with DataCouncil, you can gain all the qualifications you need to thrive in this exciting field. Whether you're a fresher looking to start your career or a professional wanting to upskill, this course will equip you with the knowledge, skills, and practical experience to succeed as a data scientist.

Explore DataCouncil’s offerings today and take the first step toward unlocking a rewarding career in data science! Looking for the best data science course in Pune? DataCouncil offers comprehensive data science classes in Pune, designed to equip you with the skills to excel in this booming field. Our data science course in Pune covers everything from data analysis to machine learning, with competitive data science course fees in Pune. We provide job-oriented programs, making us the best institute for data science in Pune with placement support. Explore online data science training in Pune and take your career to new heights!

[ko-eko-ev-go-ms]

It continues to trip me up how much human brains are just weird organic computers

[mmmmuffins]

killing my heart and soul and doing fucking data science and analytics in university instead of my life and my love literature and linguistics only for my dad to tell me i should get all As in all my modules so they can promote me to a 'better' course (comp sci). if even this course is disappointing i shd hv just done lit smh at least i would feel like a human. maybe the reason i dont do well is bc im killing my life and soul and going against my nature to do sth that i will alw be mediocre at

[babas--world]

Don’t Kill Your Ego—Befriend It: The Key to Unlocking Your Potential 🔥 What if everything you’ve been told about ego is wrong? In this eye-opening video, we dive into the misunderstood force that shapes your identity, drives your ambitions, and fuels your growth: YOUR EGO. From ancient Indian philosophy (Ahamkara) to modern self-mastery, discover why ego isn’t arrogance—it’s the foundation of self-belief, courage, and authenticity. Learn how a healthy ego helps you: ✅ Dream bigger and fight for your values ✅ Turn self-doubt into unshakable confidence ✅ Use your unique gifts to serve others ✅ Become the best version of yourself—without comparison This isn’t about toxic superiority. It’s about harnessing your ego as the bridge between who you are and who you’re meant to be. If you’re ready to stop silencing your inner voice and start collaborating with it, this video is your roadmap. 💬 Join the debate: Is ego a friend or foe? Drop your thoughts below! 🔔 Subscribe for more mind-shifting content on self-mastery, philosophy, and living authentically. For more videos on categorical variable encoding, you can bookmark this playlist: https://youtube.com/playlist?list=PLSOxlehGDVekco2u5EFQaLtsQ5ltByoQi&si=23mxubE9wRkORhmR For Video on Advanced level AI (AI Practitioner) you can watch video playlist: https://youtube.com/playlist?list=PLSOxlehGDVelNTUs8IEtkpgE0ySwAysXe&si=sj-nYswCRhH39HtY For Video on All about AI basic level tutorial (AI Enthusiast) you can follow below playlist: https://youtube.com/playlist?list=PLSOxlehGDVekaOfY5TMmI5MS1zbNJLUFL&si=9i3d03xIxO4ghYMK If you are interested in Generative AI , please follow this playlist: https://youtube.com/playlist?list=PLSOxlehGDVen1UFY0daIegmmZHm3jjQ_Y&si=3TCTX-87q58KUXju If you are looking for videos on book summary, about life, psychology and philosophy, you can follow this playlist: https://www.youtube.com/playlist?list=PLSOxlehGDVelY34fDoL3qtppXuzmvo5Of For videos on AI , Machine Learning and Data Science, follow this playlist: https://www.youtube.com/playlist?list=PLSOxlehGDVenLrEROl1JxkNuCIBVeddHu https://youtu.be/nNbChrRhq_s #Ego, #SelfBelief, #PersonalGrowth, #MindsetShift, #HealthyEgo, #Ahamkara, #InnerPower, #AuthenticSelf, #SelfMastery, #PurposeDriven, #Mindfulness, #SelfLove, #Philosophy, #MentalStrength, #Empowerment, #LifePurpose, #OvercomingEgo, #SpiritualGrowth, #TransformYourLife, #BeYourBestSelf,#EgoAwareness, #SelfDevelopment, #PersonalGrowth, #Ahamkara, #SelfBelief, #ConsciousEgo, #MindsetShift, #SelfLove, #Authenticity, #InnerVoice, #EgoReframed, #PsychologicalGrowth, #SpiritualDevelopment, #IndianPhilosophy, #SelfWorth, #PersonalEvolution, #Consciousness, #MindfulEgo, #EmpowermentMindset, #SelfActualization, #SelfImprovement, #PersonalTransformation, #MindfulLiving, #EgoManagement, #InspirationalContent, #MindsetCoaching, #LifeWisdom, #EmotionalIntelligence, #SelfAcceptance, #PositivePsychology via YouTube https://www.youtube.com/watch?v=nNbChrRhq_s

[coral-skeleton]

Yep, this one can be enjoyed guilt free.

I'd just also like to point out that AI used for denoising is a very different thing from modern-day generative AI. Denoising AI is, more often than not, a closed system, guided machine learning process, meaning it is trained on a subset of the dataset it is being used on, it does not scrape the internet for training sets, it does not steal from artists, more often than not it can be run completely locally on any mildly decent computer (it might just take a while if you don't have a fancy computer with the latest high end cpu and gpu specs), it does not need those massive servers and computing centers that severly worsen global warming to work.

The type of AI used for denoising is much more similar to the AI that's being used to cure cancer and improve our capabilities to do astronomical and astrophysical research than large language models and other generative AI and tbh, it's still worlds away from the curing cancer AI. It's so different from chat gpt that the same word absolutely should not be used for both of them. I would put a metaphor for trying to compare the two here, but I genuinely can't think of two things in the same category that are this dissimilar from each other in any other context.

Anyway, this type of "AI" is actually very normal mathematics and computer algorithms, and not the evil type of AI

AI in Unification?

If you, like me, couldn't fully enjoy Unification because there was a horrible feeling in your gut the whole time of "is this AI? Did Shatner really let them use AI? That seems like a thing he'd do, because he's kind of awful" then you've come to the right place.

I did a deep dive of the technologies used for Unification and while this isn't a 100% comprehensive guide here's what I've learned:

According to Trekmovie.com's article about the film, the production team used a "team of artists and animators, who combined digital and physical prosthetics with live-action location photography, virtual production, and CG set extensions" and used "OTOY’s “Octane” rendering software and the “Render Network” decentralized GPU rendering platform. Characters and props were digitized using OTOY’s Academy-Award winning “LightStage” scanning system."

So what are all these proprietary names / jargon, and are any of them AI?

LightStage: A scanning tech that allows for digital capture of a human face (probably used to capture the stand-ins faces and superimpose older footage of Spock / Kirk like they would for a video game motion capture or something) = Not AI

OctaneRender: "Fastest unbiased, spectrally correct GPU render engine" (Probably used for sets based on the example I'm seeing on OTOY's website. It DOES use AI for "denoising and lighting" but this is a feature of the program and not the only thing the program does, so it is unclear if this is something they would have employed for the shot film. If they did, this would not be used for character work / deep fakes, and given what little information is written about this tech I'm almost curious if it is even a full AI system at all or just an automatic denoiser that they've dubbed as AI to look impressive. So I'd say results inconclusive here at best.)

The Render Network: "The network connects node operators looking to monetize their idle GPU compute power with artists looking to scale intensive 3D-rendering work and with machine learning developers looking to train and tune AI models. Through a decentralized peer-to-peer network, the Render Network achieves unprecedented levels of scale, speed, and economic efficiency. " (This basically means people can use the platform FOR AI but means nothing in the context of whether AI was used for this project.)

TL;DR: AI is an umbrella term for a lot of technology and it seems if anything, there may have been some AI used in the background rendering process but nothing generative AI / deep fakes. In my cynical opinion, if they HAD used AI in general for this, I feel like they'd be shouting it from the rooftops right now since people who love AI won't shut up about it. I'm tentatively saying this was 99% made with traditional CGI and artist work as is stated in the Trekmovie.com article, but I wouldn't be surprised if that opinion changes as the day goes on and more information is released.

[curlicuecal]

playing science telephone

Hi folks. Let's play a fun game today called "unravelling bad science communication back to its source."

Journey with me.

Saw a comment going around on a tumblr thread that "sometimes the life expectancy of autism is cited in the 30s"

That number seemed..... strange. The commenter DID go on to say that that was "situational on people being awful and not… anything autism actually does", but you know what? Still a strange number. I feel compelled to fact check.

Quick Google "autism life expectancy" pulls up quite a few websites bandying around the number 39. Which is ~technically~ within the 30s, but already higher than the tumblr factoid would suggest. But, guess what. This number still sounds strange to me.

Most of the websites presenting this factoid present themselves as official autism resources and organizations (for parents, etc), and most of them vaguely wave towards "studies."

Ex: "Above And Beyond Therapy" has a whole article on "Does Autism Affect Life Expectancy" and states:

The link implies that it will take you to the "research studies" being referenced, but it in fact takes you to another random autism resource group called.... Songbird Care?

And on that website we find the factoid again:

Ooh, look. Now they've added the word "some". The average lifespan for SOME autistic people. Which the next group erased from the fact. The message shifts further.

And we have slightly more information about the study! (Which has also shifted from "studies" to a singular "study"). And we have another link!

Wonderfully, this link actually takes us to the actual peer-reviewed 2020 study being discussed. [x]

And here, just by reading the abstract, we find the most important information of all.

This study followed a cohort of adolescent and adult autistic people across a 20 year time period. Within that time period, 6.4% of the cohort died. Within that 6.4%, the average age of death was 39 years.

So this number is VERY MUCH not the average age of death for autistic people, or even the average age of death for the cohort of autistic people in that study. It is the average age of death IF you died young and within the 20 year period of the study (n=26), and also we don't even know the average starting age of participants without digging into earlier papers, except that it was 10 or older. (If you're curious, the researchers in the study suggested reduced self-sufficiency to be among the biggest risk factors for the early mortality group.)

But the number in the study has been removed from it's context, gradually modified and spread around the web, and modified some more, until it is pretty much a nonsense number that everyone is citing from everyone else.

There ARE two other numbers that pop up semi-frequently:

One cites the life expectancy at 58. I will leave finding the context for that number as an exercise for the audience, since none of the places I saw it gave a direct citation for where they were getting it.

And then, probably the best and most relevant number floating around out there (and the least frequently cited) draws from a 2023 study of over 17,000 UK people with an autism diagnosis, across 30 years. [x] This study estimated life expectancies between 70 and 77 years, varying with sex and presence/absence of a learning disability. (As compared to the UK 80-83 average for the population as a whole.)

This is a set of numbers that makes way more sense and is backed by way better data, but isn't quite as snappy a soundbite to pass around the internet. I'm gonna pass it around anyway, because I feel bad about how many scared internet people I stumbled across while doing this search.

People on quora like "I'm autistic, can I live past 38"-- honey, YES. omg.

---

tl;dr, when someone gives you a number out of context, consider that the context is probably important

also, make an amateur fact checker's life easier and CITE YOUR SOURCES

[techtoio]

The Fascinating Science Behind Quantum Computing: Explained

Introduction

Welcome to TechtoIO! Today, we embark on a journey to one of the most thrilling frontiers in technology: quantum computing. This radical area promises a transformation of information processing, problem resolution, and understanding of the universe. How do quantum computers work, and what is quantum computing? Let’s break down the science behind this cutting-edge technology in simple, easy-to-understand terms. Read to continue

[wickedhawtwexler]

y'all the data scientist job market is so bleak. like 75% of companies are just looking for people to write chat bots 😭

[oh-dameron]

SecUnit armour should attach directly to anchor points on the construct. If you're building something designed to wear armour then including couplings for it just makes sense. A human should not physically be able to wear SecUnit armour not because it's too heavy (though it probably would be too heavy/cumbersome to move well in) but because it doesn't have straps and buckles or lock to itself like human armour does: it clips onto the underlying foundation (the SecUnit).

It's disposable plating meant to take hits and then be replaced, but it's also an extension of the construct's body.

I have a lot of Feelings about Murderbot and its armour, how terribly it misses its opaque faceplate and how naked and vulnerable it feels every time it goes into combat without it. How in System Collapse it feels weird about taking Three's armour, and whether that's an extension on how it feels about armour in general, taking Three's specifically, or its evolving feelings about being expected to charge into combat in the first place. It's a component Murderbot lost early on and has never been able to replace, an exoskeleton it's struggling to learn to live without even as the humans around it don't even register it as a loss.

I think it's pretty likely that given the choice, it would generally prefer to chill in the argument lounge in full armour with its faceplate opaqued. Without that option it's been forced out of its comfort zone and has connected with its humans in a way that Mensah correctly predicted it never would have otherwise, which. Yay. But now it's done all this hard work and uncomfortable growth I hope eventually it gets its comfortable shell back.

Not to wear all of the time, because ART's crew uniforms are very soft and don't have seams or logos that it doesn't like, and ART's argument lounge and Preservation Station are safe places where it can be around humans without needing it. But next time shit hits the fan I hope ART gets to do a dramatic reveal of the bleeding edge armour it contacted the PSUMNT AI that has a special interest in materials science to make. It upgraded its fabrication units to be able to build it. It hacked Company blueprints to get a design schematic to scoff at and then improve. It's got the stealth coating they lifted from the NE hostiles. It's got extra data storage and processors tucked in there big enough to carry an ART partition. It comes with a whole fleet of matching drones. It's Perihelion blue. You can't buy armour this good (who would ever spend this much to protect a construct?), but it would hypothetically cost more than a fully kitted-out brand-new top-of-the-line CombatUnit. ART paid for it out of its own accounts and will not be taking questions about PSUMNT mission budgets at this time.

The wall retracts to reveal a secret armoury like in a spy movie, complete with theme music and coloured lighting, both because ART is Extra and because it knows that Murderbot has some mixed feelings about armour and having nice things. Giving it cheesy melodramatic presentation to nitpick and protest over will be comforting, even as they both unironically enjoy the homage to the episode of Timestream Defenders Orion with the chrono-displaced space knights.

This got away from me, but tl;dr: let the awkward turtle have its shell back!

[dark-l-angel]

may I please request batfam x reader where they randomly find out the reader has Omnilingualism? the reader just randomly drops lore then the batfam is like "HUH?" me pleading:

A/N: Sure luv ❤️ sorry it took a little while.. but here you go 😺

Omnilingualism is the ability to understand all languages.. spoken, written, or otherwise.. instantly and fluently, without having to learn them first.

Batfam x Omnilingual reader + onshot bonus "wait- YOU CAN SPEAK EVERY LANGUAGE?!"

Bruce Wayne:

He pretends he isn’t impressed. He really tries. But the moment you casually correct a mistranslation in one of his case files from an obscure dialect in the Amazon, his eye twitches.

Definitely runs tests in the Batcave. "For data" he claims. Lies. He just wants an excuse to hear you switch flawlessly between Ancient Sumerian and Icelandic.

Low-key starts trusting you with delicate negotiations at Wayne Enterprises. "Accidentally" leaves confidential contracts in languages no one in the room understands except you.

Oh, and you catch him brushing up on his French. He'll never admit it, but he’s trying to catch up to you.

You once whispered something scandalous to him in flawless Latin during a gala. His hand on your lower back tightened just slightly. Dangerous man, but you’re worse.

Dick grayson:

Immediately obsessed. No chill whatsoever.

"Say something in Italian!" "Now Portuguese! Oh oh.. Tagalog!"

Thinks it’s the sexiest thing he’s ever heard. Genuinely struggles to focus if you speak in another language, especially something romantic-sounding. (You catch him blushing like a schoolboy, every time.)

Tries to flirt back in another language but completely butchers it. You gently correct him, and it turns into an unintentional couples language lesson.

You catch him Googling "How to propose in 20 languages." Cute idiot.

Teases you with fake words in gibberish, just to see if you catch on. You always do.

Jason Todd :

Oh, this man loves it. Filthy mouth, wicked grin, and a brain full of bad ideas.

Purposely swears in different languages to see if you catch him. You do. Every. Single. Time.

One time you threw back a sharp insult in flawless Russian, and he damn near swooned.

Has you read his favorite banned books in their original languages. "I just wanna hear you say it, babe." No you don’t, Jason. You want to hear them moaned, don’t you?

Will 100% ask you to dirty talk in languages no one else understands in public settings. "What? I like living dangerously."

Bonus: If you tease him in French, it destroys him. He can’t fight it. French + your voice = his personal kryptonite.

Tim Drake :

Immediately runs to his laptop. He needs answers.

"Omnilingualism is a hyper rare meta-ability.. there are fewer than seven confirmed cases worldwide.. wait- does this mean you can read codes in programming languages like they’re actual languages?!"

Makes you his official decryption buddy. His Batcomputer just became 500% more efficient.

Low-key fascinated, high-key turned on.

Asks you to record audio lessons for him in various languages. You catch him listening to them at 2am with a suspiciously dazed smile.

Will absolutely text you random phrases in dead languages at ungodly hours of the night. "For science."

Damian Wayne :

Instantly annoyed that he’s no longer the most linguistically gifted person in the room.

Challenges you constantly. "Recite this ancient Arabic proverb." You do, flawlessly, and throw in the correct accent for good measure.

He respects you deeply but refuses to admit it directly.

Secretly asks you to teach him rare dialects to communicate with his animals better.

The moment you start speaking to Titus in perfect, gentle Arabic, his eyes go wide. You’ve officially earned his permanent admiration.

Bonus: You tease him by complimenting him in languages he doesn’t know yet. He storms off to study them immediately.

Alfred Pennyworth

Unbothered king. He knew from the start.

Smiles softly when you casually slip into old, classical British idioms even Bruce doesn’t understand.

Occasionally tests you with the oddest phrases from obscure Commonwealth colonies. You pass every time.

"I dare say, Miss, you have a talent most remarkable."

Secretly keeps a list of the rarest languages to see if there’s anything you don’t know.

Family game nights? Forget it. You dominate every round of “Guess That Language.”

You become their favorite asset in undercover ops. Fake passports? Check. Local slang? You’re a walking encyclopedia.

They jokingly call you their “Batbabel.” (Yes, even Bruce lets that nickname slip once.)

Jason is convinced you must have alien blood. "Bet you could sweet talk the Martians, too."

You like to randomly mess with them by switching languages mid-conversation. Pure chaos.

And they all fall a little harder every time you do.

Oneshot bonus : Wait- YOU CAN SPEAK EVERY LANGUAGE?!

It started, as many things in Wayne Manor do, in the most stupidly casual way possible.

You were seated at the long dining table, lazily flipping through your phone while Alfred served brunch. Tim was half-asleep beside you, his forehead dangerously close to his waffles. Jason was reading War and Peace in Russian, because of course he was. Damian was arguing with Dick over the proper form for his new kata routine, while Bruce pretended to read the paper but was very obviously just eavesdropping like the rest of them.

Then, Alfred, with his calm British cadence, said something softly under his breath. In French.

"Mon dieu, cette confiture est un désastre…" (this jam is a disaster...)

Without thinking, without even looking up from your phone, you mumbled back, perfect pronunciation and all,

"Pas nécessairement. C’est la confiture d’orange, elle est censée être comme ça." (Not necessarily. It's orange marmalade, it's supposed to be like that.)

Silence.

Dead silence.

Tim lifted his head slowly, eyes bleary but confused.

Jason lowered his book.

Damian squinted at you like you’d just sprouted a second head.

Bruce folded his newspaper with a quiet, deliberate finality.

Dick? Dick’s eyes were sparkling with mischief.

"Since when do you speak French?" he asked, grinning like the cat who caught the canary.

You blinked, confused by the attention. "Huh? Oh, I don’t."

Wrong answer.

"You just did" Tim said flatly, blinking the sleep out of his eyes.

Jason leaned forward on his elbows, sharp smirk spreading. "Care to explain, mon ami?"

Your brain, still not connecting the dots, offered the most unhelpful thing possible: a shrug. "I don’t know. He just said the jam was a disaster. I just... knew."

“Wait.” Damian’s eyes narrowed into slits, laser-focused. "What did Alfred say, exactly?"

You repeated it, casually.

He tried to hide it, but his brows twitched upward. "That’s correct."

Now Jason was grinning like he knew something juicy. "Try Russian."

"What?"

"Say something in Russian," Jason pressed, eyes alight with curiosity.

You hesitated, then shrugged. "Что ты хочешь, чтобы я сказал?" (What do you want me to say?)

Jason’s chair screeched back from the table as he stood, hands in his hair. “NO. No, no, no, what the hell is this?!”

"That was perfect," Tim said, his voice pitching higher, caffeinated brain now fully awake.

"You said you don’t speak these languages?" Bruce asked, a suspicious tilt to his head like he was running seventeen background checks in his mind at once.

You frowned, getting a little defensive now. "I don’t! I never studied Russian, or French, or whatever else. I just... get it, I guess?"

Dick gasped, like someone hit him with a Batarang of Realization. "Wait wait wait.. omnilingualism."

Jason’s mouth dropped open. "No freaking way."

Tim’s eyes went huge behind his glasses. "That’s an actual thing, you know. Hyper rare meta ability. The brain automatically understands and reproduces any language it’s exposed to."

Damian narrowed his eyes, crossing his arms. "Prove it."

"Say something in Ancient Latin," Bruce instructed, his detective mode fully activated.

You tilted your head, focusing, and then fluently responded,

"Memento mori, pater. Etiam noctes detectivi requiem merentur" (Remember death, father. Even detectives of the night deserve rest.)

Pin-drop silence.

Jason cackled so hard he nearly fell out of his chair.

Dick was clapping like you’d won an Olympic gold medal.

Tim, meanwhile, frantically pulled out his phone, already Googling ‘omnilingual reader discovered at brunch’.

Bruce, stoic as ever, gave you a single nod of respect. "We’ll need to run tests."

"You mean interviews," Dick corrected, leaning closer with a grin. "Because I, for one, have a thousand questions."

"Congratulations" Jason said dryly, raising his glass of orange juice in your direction. "You’re officially our walking, talking, sexy Google Translate."

You rolled your eyes with a crooked smile. "Glad I can be of service."

"And you will be," Bruce added, already making plans in his head. Oh, you were never getting out of this one.

[seraphblood]

thinking about how we can't have cool shit because of capitalism

[kuiinncedes]

:P