#What is data science used

[hotbazeng]

Data science: what is it, main concepts and how to act?

What do you know about data science? Educating yourself on the topic is a great way to better understand the complexity of the world we live in today. There is not the slightest possibility of comparing the amount of information we have access to today with what humanity had available decades ago. It’s what we call the Information Age. The problem is that we’re talking about so much information…

[beemovieerotica]

there needs to be a study about people who participate in research studies repeatedly like this is my 6th medical/scientific trial and honestly at this point let's call it an addiction

[millenniallust4death]

All this talk about Tumblr disappearing and how we should export our blogs.

Writing R code to download all the notes from ONE Tumblr post has been an irritating adventure.

The main problems:

The API only gives you ~50 notes per call - no pagination, no offset, no “get everything” option. Tumblr: Fuck you, API user.

You’re limited to 300 API calls per minute.

Even if you respect that limit, Tumblr will still get cranky and start throwing 429 “Too Many Requests” errors.

When you reach the end of a post’s notes, the API just… repeats the last note forever instead of stopping.

There’s no reliable way to know when you’ve hit the end unless you build that check yourself.

Tags and added text from reblogs are a completely separate part of the API - not included with the likes, reblogs, and replies you get from the /notes endpoint. Why? Tumblr: Fuck you, API user.

Did I mention that the API is a rickety piece of shit? It forced me to get a bit creative. I built a loop that steps backward in time using timestamps to get around the lack of pagination. Since the API only gives you the most recent ~50 notes, I had to manually request older and older notes, one batch at a time - with built-in retries, cooldowns, and rate-aware pacing to avoid getting blocked.

My script works now. It politely crawls back through thousands of notes, exits cleanly when it hits the end, and saves everything to a CSV file.

Was it worth it? Eh.

[opens-up-4-nobody]

...

[dickgreyson]

one of my essays from back when i studied philosophy is being put into a good answers guide at my university<3 not one of my good ones but

[unnonexistence]

i started doing climate data transcription on Zooniverse today & it's nice. i feel a certain kinship with these 1950s weather observatory scientists who were trying to use up their stack of preprinted-for-the-1940s observation sheets & had to keep crossing out the "4" in the year field. they were doing it until at least 1952

[un-pearable]

this is yet another random academia nitpick i won’t let go of for weeks but someone in the comments of the victor ninov broccumentary claimed that science is a “incredible field that can’t be simplified to storytelling like this” because “it goes against human nature to do” and writing good sci comm goes against scientific integrity.

and the whole statement is incredibly stupid but in true anthropologist fashion i must say what on earth about science goes against human nature. the desire to test a phenomenon and revise your theories based on the results is literally one of the benchmarks for early modern humans. this is the behavior in corvid’s (tool use) that people loose their shit over. communicating findings to others?? collaborative work to reach an arbitrary goal that won’t necessarily have a direct benefit on your immediate life???? that’s how we domesticated staple crops dumbass. it’s science all the way down

[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!

[plethoraworldatlas]

The innovation of a 3D-printed device from the University of Edinburgh could pave the way to the abolition of animal testing. The plastic “body-on-chip” device contains human cells from five major organs — the brain, heart, lungs, kidneys, and liver — and simulates chemicals moving through the circulatory system by using positron emission tomography (PET) scanning. “This device is the first to be designed specifically for measuring drug distribution … essentially, allowing us to see where a new drug goes in the body and how long it stays there, without having to use a human or animal to test it,” Liam Carr, inventor of the device, told The Guardian. Future models could also show how organs in different stages of disease react to medicine — as well as how everyday items like foods, aerosols, and cleaners affect the human body — improving precision in biomedical experiments. This device is an example of innovation in biomedical models that could replace animal testing. It could also be cheaper and faster than testing new drugs on live animals. “This device shows really strong potential to reduce the large number of animals that are used worldwide for testing drugs and other compounds, particularly in the early stages, where only 2% of compounds progress through the discovery pipeline,” said Dr. Adriana Tavares of the University’s Centre for Cardiovascular Science according to WION News.

[roseofcards90]

I have given up ✨

[theguardianace]

im so bored in this lab its not even funny

[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

[cromacampusinstitute]

Python is widely used in Data Science due to its simplicity, versatility, and extensive ecosystem of libraries and frameworks. It allows data scientists to efficiently handle data manipulation, analysis, and visualization tasks using powerful libraries like Pandas, NumPy, and Matplotlib.

[orcelito]

Sometimes I wonder what my life would be like if I didn't switch out of engineering after my freshman year of college. I could've been a computer & electrical engineer.

Or if I'd pursued my middle school interest in architecture (that I still lowkey have). I used to draw floor plans just for the fun of it. I think it might've originated from building in the sims, bc I recently did a massive build in the sims 2 after years and years without playing, and I was having the time of my Life. I ended up deciding to pursue engineering in high school tho bc there's a family history to it (my grandpa was one, my sister is one, my dad studied it before dropping out of college, & my ex step grandpa was one too). Also it pays better lol.

But what if I didn't give it up? I could've been an architect. Just the other day I found out from European friends that their buildings don't tend to have ventilation systems built into the walls & I went on a whole nerd research binge learning about how European buildings have air circulation (it generally varies by region, colder climates often having ventilation systems while warmer climates often just get air circulation from windows). Yeah, the architecture interest is still there.

If I go Real far back, little me wanted to be a nurse lol. But that was just because my mom was one and I still looked up to her. I've long since accepted I wouldn't be able to make it as a nurse (I'm too squeamish + tend to get attached easily, so i think it'd be pretty soul crushing for me to work in a job where patients do die sometimes)

Idk. I'm close to finishing my degree in IT, so my general life path is pretty set. And it just has me wondering about the different jobs I've wanted throughout my life & what things would be like if I went to that instead.

[mysterioussinkhole]

Adding on to give some more general info/reasonable predictions on how this will be implemented:

If your diagnosis is only recorded with your doctors it will be harder for the government to access it due to HIPAA protections. They will get sued very quickly if/when they go after those.

The first places they will look for records in order to build this registry will be records the government already has free access to. Things like documentation submitted for people who receive disability benefits, voluntary disclosure to your employer (especially if you work for the government), academic accommodations if you go to a state college, IEPs filed with your school as a kid.

Social media is far less organized, and thus more time consuming to comb through but i would be surprised if the administration didn't use it eventually. I'd advise against posting about having autism on any accounts easily connected to your real name.

Data privacy is still a new frontier in many ways so there may be new rulings on what the government can and can't access. My primary advice is just this: don't make it easy for them.

Hey just a general PSA from someone officially diagnosed and documented:

Now is not the time to seek out an autism diagnosis.

RFK's plans have been made very clear and any diagnosis you do get will get you put on this "national disease registry" they're proposing.

Trust me when I say I completely understand the need for accommodations and a better understanding of yourself, but if you have gone this long without being diagnosed, you will be better off waiting.

Furthermore, listen to and advocate for folks who are diagnosed, especially folks with higher support needs. They'll be the first ones targeted for whatever bullshit "experimental treatments" the government tries to push.

Stay safe and look out for your neighbor.

[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