#The Real Data Science Course

[techyseeducation]

Data Analytics Training In Marathahalli

Techyse Education in Marathahalli, Bangalore, offers specialized Data Analytics Training in Marathahalli for individuals looking to build expertise in Python, Power BI, and data analysis techniques. Their industry-aligned courses focus on practical learning through real-world projects, ensuring students gain hands-on experience in data manipulation, visualization, and dashboard creation. Whether you are a beginner or an experienced professional, Techyse’s programs are designed to enhance your skill set, making you job-ready for roles in data analytics.

Comprehensive Data Analytics Training in Marathahalli Techyse Education takes pride in delivering high-quality Data Analytics Training in Marathahalli, backed by experienced instructors with deep industry knowledge. The curriculum covers essential tools and techniques, from data wrangling with Python to creating interactive dashboards using Power BI, ensuring students are prepared to meet industry demands. With personalized mentorship, career support, and placement assistance, Techyse provides a well-rounded learning experience. Whether aiming for career growth or a fresh start in data analytics, Techyse Education equips learners with the skills to excel in a competitive job market.

Techyse Education | Data Analyst, Python, Power BI Training in Marathahalli, Bangalore

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[sanjanabia]

How Can Data Science Predict Consumer Demand in an Ever-Changing Market?

In today’s dynamic business landscape, understanding consumer demand is more crucial than ever. As market conditions fluctuate, companies must rely on data-driven insights to stay competitive. Data science has emerged as a powerful tool that enables businesses to analyze trends and predict consumer behavior effectively. For those interested in mastering these techniques, pursuing an AI course in Chennai can provide the necessary skills and knowledge.

The Importance of Predicting Consumer Demand

Predicting consumer demand involves anticipating how much of a product or service consumers will purchase in the future. Accurate demand forecasting is essential for several reasons:

Inventory Management: Understanding demand helps businesses manage inventory levels, reducing the costs associated with overstocking or stockouts.

Strategic Planning: Businesses can make informed decisions regarding production, marketing, and sales strategies by accurately predicting consumer preferences.

Enhanced Customer Satisfaction: By aligning supply with anticipated demand, companies can ensure that they meet customer needs promptly, improving overall satisfaction.

Competitive Advantage: Organizations that can accurately forecast consumer demand are better positioned to capitalize on market opportunities and outperform their competitors.

How Data Science Facilitates Demand Prediction

Data science leverages various techniques and tools to analyze vast amounts of data and uncover patterns that can inform demand forecasting. Here are some key ways data science contributes to predicting consumer demand:

1. Data Collection

The first step in demand prediction is gathering relevant data. Data scientists collect information from multiple sources, including sales records, customer feedback, social media interactions, and market trends. This comprehensive dataset forms the foundation for accurate demand forecasting.

2. Data Cleaning and Preparation

Once the data is collected, it must be cleaned and organized. This involves removing inconsistencies, handling missing values, and transforming raw data into a usable format. Proper data preparation is crucial for ensuring the accuracy of predictive models.

3. Exploratory Data Analysis (EDA)

Data scientists perform exploratory data analysis to identify patterns and relationships within the data. EDA techniques, such as data visualization and statistical analysis, help analysts understand consumer behavior and the factors influencing demand.

4. Machine Learning Models

Machine learning algorithms play a vital role in demand prediction. These models can analyze historical data to identify trends and make forecasts. Common algorithms used for demand forecasting include:

Linear Regression: This model estimates the relationship between dependent and independent variables, making it suitable for predicting sales based on historical trends.

Time Series Analysis: Time series models analyze data points collected over time to identify seasonal patterns and trends, which are crucial for accurate demand forecasting.

Decision Trees: These models split data into branches based on decision rules, allowing analysts to understand the factors influencing consumer demand.

5. Real-Time Analytics

In an ever-changing market, real-time analytics becomes vital. Data science allows businesses to monitor consumer behavior continuously and adjust forecasts based on the latest data. This agility ensures that companies can respond quickly to shifts in consumer preferences.

Professionals who complete an AI course in Chennai gain insights into the latest machine learning techniques used in demand forecasting

Why Pursue an AI Course in Chennai?

For those looking to enter the field of data science and enhance their skills in predictive analytics, enrolling in an AI course in Chennai is an excellent option. Here’s why:

1. Comprehensive Curriculum

AI courses typically cover essential topics such as machine learning, data analysis, and predictive modeling. This comprehensive curriculum equips students with the skills needed to tackle real-world data challenges.

2. Hands-On Experience

Many courses emphasize practical, hands-on learning, allowing students to work on real-world projects that involve demand forecasting. This experience is invaluable for building confidence and competence.

3. Industry-Relevant Tools

Students often learn to use industry-standard tools and software, such as Python, R, and SQL, which are essential for conducting data analysis and building predictive models.

4. Networking Opportunities

Enrolling in an AI course in Chennai allows students to connect with peers and industry professionals, fostering relationships that can lead to job opportunities and collaborations.

Challenges in Predicting Consumer Demand

While data science offers powerful tools for demand forecasting, organizations may face challenges, including:

1. Data Quality

The accuracy of demand predictions heavily relies on the quality of data. Poor data quality can lead to misleading insights and misguided decisions.

2. Complexity of Models

Developing and interpreting predictive models can be complex. Organizations must invest in training and resources to ensure their teams can effectively utilize these models.

3. Rapidly Changing Markets

Consumer preferences can shift rapidly due to various factors, such as trends, economic changes, and competitive pressures. Businesses must remain agile to adapt their forecasts accordingly.

The curriculum of an AI course in Chennai often includes hands-on projects that focus on real-world applications of predictive analytics

Conclusion

Data science is revolutionizing how businesses predict consumer demand in an ever-changing market. By leveraging advanced analytics and machine learning techniques, organizations can make informed decisions that drive growth and enhance customer satisfaction.

For those looking to gain expertise in this field, pursuing an AI course in Chennai is a vital step. With a solid foundation in data science and AI, aspiring professionals can harness these technologies to drive innovation and success in their organizations.

[indembminsk]

Boost Your Earning Potential: Top Courses in New York for Financial Success

New York, the bustling hub of business, technology, and creativity, offers myriad opportunities for those looking to enhance their skill set and increase their earning potential. Whether you’re looking to break into the financial district, scale the corporate ladder, or jump into the start-up scene, the city that never sleeps has something for everyone. Here is a curated list of top courses to…

[cacmsinsitute]

Data to Decisions: How Data Science Enhances Real-World Projects

In the twenty-first century, data is frequently referred to as the "new oil." Data is the driving force behind the digital age, just as oil was the driving force behind the industrial revolution. Data is abundant and, at times, overwhelming in its raw form. It is analogous to crude oil in the ground, ready to be retrieved and refined into valuable resources. Data science is the process of refining raw data into usable insights that power real-world projects and impact the future.

The Data Revolution

The data revolution has altered the way corporations, governments, and organizations work. When making vital decisions, relying on intuition or traditional procedures is no longer sufficient. With a world flooded with data, the capacity to extract relevant information and make data-driven decisions has become a competitive advantage.

Data Science as a Transformative Catalyst

Data science is the spark that bridges the gap between data and decisions. It is an interdisciplinary field that combines expertise in mathematics, statistics, computer science, and domain knowledge to identify hidden patterns, trends, and correlations within datasets. These insights, in turn, enable stakeholders to make educated decisions that can lead to increased efficiency, cost savings, and innovation.

Real-World Applications

Data science is more than simply an academic study; its real-world applications are broad and far-reaching. Let us look at some significant areas where data science may help:

Healthcare

In the realm of healthcare, data science is used to analyze patient information, predict disease outbreaks, and optimize treatment regimens. It aids in personalizing medicine, lowering healthcare expenses, and saving lives.

Finance

In the financial sector, data science is used for risk assessment, fraud detection, and algorithmic trading. It assists financial organizations in making educated investment decisions and maintains the security of financial transactions.

Marketing

Data science is the primary element behind tailored marketing strategies. It analyzes consumer behavior, identifies potential leads, and optimizes advertising efforts to increase sales and customer engagement.

Transportation

Data science is utilized in transportation for traffic optimisation, route planning, and the development of self-driving vehicles. It decreases traffic, improves safety, and reduces carbon emissions.

Education

Data science in education helps to personalize learning experiences, track student performance, and improve educational outcomes. It enables educators to personalize instruction to the requirements of individual students.

The Data-to-Decision Methodology

There are numerous critical steps involved in the path from data to decisions:

Data collection: Compiling information from multiple sources, such as social media, sensors, questionnaires, and historical documents.

Data Cleaning: Preprocessing data to remove errors, inconsistencies, and outliers.

Exploratory Data Analysis: Understanding the data's structure and relationships between variables.

Feature Engineering: Selecting relevant features and transforming the data for modeling.

Modeling: Using statistical and machine learning methods, predictive models are constructed.

Evaluation: Determining the optimal strategy and evaluating model performance.

Deployment: Putting the model into practice in practical settings.

Monitoring and Iteration: Refreshing the model on a regular basis to make it more accurate and flexible to changing circumstances.

Conclusion

The motor that propels us from data to decisions is data science. It enables real-world initiatives in a variety of industries, allowing organizations to make data-driven decisions that drive innovation and efficiency. Understanding the importance of data science is not simply an advantage in a data-driven society; it is a requirement for people who want to design a better, more informed future. The data-driven era has arrived, and the insights gained from data science are increasingly powering the decisions we make today.

Consider joining CACMS Institute, Amritsar's best computer institute, if you want to learn more about the transformative realm of data science. Our comprehensive data science courses will provide you with the information and skills you need to harness the power of data for real-world applications.

To begin your adventure in data science, call us at +91 8288040281 or visit our website, http://cacms.in/data-science/ Your data science career begins at CACMS Institute.

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[scondigital2022]

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SCON Institute trainers have real-world Power BI experience. They understand the tool well and can offer practical advice on its use. Trainers will provide personalized advice throughout the training program.

SCON Institute offers other business analytics and data science courses than Power BI certification. This lets you learn more about this field.

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[reasonsforhope]

Climate change in 2025: So, what now?

Some real talk for the new year, about where we now stand, and what the next years are going to look like.

(Still ends on a “be hopeful!! or else” kind of note, but definitely gets into some heavy truths about the meaning of recent events.)

--

Obviously, between Trump's reelection at the Los Angeles fires, things are feeling a lot more precarious than they did just a few months ago. I know a lot of people are incredibly stressed. I know I'm certainly stressed.

But this isn't the end. This isn't the beginning of the end, either. We're not doomed.

Don't despair.

Yes, things are about to get harder. Yes, the effects of climate change are now becoming truly apparent.

But here's what you need to hold on to:

We have already cut expected warming in half.

More about that including sources here: (x) I'm not going to go into it again in detail, read the source for that. But it's true. In 2000, when I was a kid, they were predicting 4, 5, 6 degrees of warming, plus a runaway greenhouse effect that would boil the planet.

Now, scientists expect that global temperatures will likely land between 2 and 3 degrees.

Which is incredibly shitty, yes. But it's survivable.

And I have for a lot of reasons (check these masterposts on this) to believe with the confidence of knowing that we're going to get expected warming down even further.

And that's something to celebrate.

I’m not saying that the effects of warming aren’t already bad, or won’t get worse. I’m from California, I currently live in LA. My state’s been on fire for half my life. Natural disasters starting amping up early here (and we’re certainly in the middle of another historic number now). And yeah, it's fucking stressful right now.

But like I said, my state’s been breaking horrible disaster records constantly for the past ten years. I've done this before. And you know what? Natural disasters have been getting more and more survivable for years, largely thanks to faster warnings and better mass communication (x).

Does it suck how many natural disasters there are now? Yeah.

Does it suck how many more still there will be? Yeah.

Do we need to keep working our asses off to beat climate change? Yeah.

Are we going to need to organize and mobilize (both politically and especially community-wise) like never before to see as many people through these times as best as possible? Yeah.

But that doesn't mean we should despair. It absolutely does not mean that we've already lost.

An unknown number of the most optimistic futures were foreclosed when Trump won the US election. That’s painful but a reality.

But for twenty-ish of the past twenty-five years, the science said we weren’t going to survive climate change at all.

For most of my life, we were worried that we had set Earth on a course to become like fucking Venus (which is, on average, well over 800 degrees Farenheit). Even if it didn’t get that bad, we were so worried that global warming might wipe out all life on earth - except maybe the cockroaches.

(Literally, when I was a younger the kids at my church put on a play about that. It was like an adaptation of A Christmas Carol where the future only had talking cockroaches. I grew up so worried about this. (Not the cockroaches thing specifically. Mostly the general concept. Only a little about the cockroaches. Also yes my church was very granola why do you ask.))

But starting a few years ago, studies have shown that there wasn’t going to be a runaway greenhouse effect that could turn us into Venus; that earth is warming, yes, but we don’t seem to be in danger of that.

Between that and the fact that the adoption of renewables globally is too fast to be stopped, and we do have the technology and environmental science knowledge to eventually re-lower global temperatures by getting to net negative carbon emissions (x), and most countries and at least 73% of people in all countries for which there is data (x) actually care very much about the climate, yeah, we have closed the door on the lava planet future.

And yeah, I do think that’s worth celebrating.

That’s a massive fucking victory.

There's still more work to do, and I have every confidence that we're going to do it. I also think that, given the loss of the US election, there’s a really, really strong chance the developing world will be what saves us, and we’ll just be lucky to be along for the ride.

Most people have no idea of the kinds of amazing stories and statistics coming out of the developing world and Indigenous communities. The world is changing for the better on the environment, even as disasters (and the US) are getting worse. Solar power is going to revolutionize the fucking world, because it’s going to grant humanity universal access to electricity, and that’s going to revolutionize the world, especially the developing world (aka the global majority). And most people have no idea at all, much less how much it’s going to change.

So, yeah, natural disasters are going to keep getting worse.

But there’s a long, long long fucking way between “natural disasters are going to keep getting worse” and “the extinction of all of humanity and/or the vast majority of life on earth”

So, in the face of Trump, in the face of everything, I still choose to hope. I still choose to celebrate this as a true and profound accomplishment.

Because for over twenty years, I was afraid I’d never get to.

That difference is absolutely worth celebrating.

[communistkenobi]

a very common mistake people make in political/social discourse is applying individualist thinking to some social phenomenon or theory. one of the most common examples is someone responding to the theory of white privilege with “but there are poor white people” or male privilege with “I’m a man but I have no power” etc. and in order to refute that properly you have to essentially get into a philosophy of science debate, to explain that the benefit of a given social theory is its ability to be generalised above the level of the individual, that what is being described is a social process, that human beings occupy various positions within a social space (a family, a neighbourhood, a workplace, a state) that are not individual. To be able to give an account of some social force you necessarily cannot be just talking about the particularities of a single person - if you were, all you would be expressing is an individual opinion about a single person. If you want to rise above the level of ‘mere opinion’ you need to actually provide an account that is general enough to apply to multiple people of varying social situations but systematic enough to be able to differentiate between who you are and are not speaking about. Of course data are lost in this endeavour - probably best summed up by the aphorism “all models are wrong but some are useful” - but the success of a given social theory is its ability to sustain its explanatory power despite these data losses. Like the whole game of generalisation is building a theory to figure out what data points to discard and which to retain. It is no more contradictory to say white privilege is real even though there are poor white people than to say the police are a white supremacist institution even though there are non-white police officers. In fact these seeming contradictions are accounted for in these same social theories - white supremacy has had centuries of policy development at this point, it is a fairly well-tested set of logics that have adapted to a variety of conflicts, problems, and political/economic/social developments (Sylvia Wynter talks about this in the context of the post-slavery US for example). White supremacy is thus resilient to these apparent contradictions (and these contradictions generate further social developments, such as the shifting meanings and locations of whiteness), which is why zooming into the level of the individual is often not helpful in explaining its effects on a social level.

Weber says that I need not know Caesar to understand Caesar - that to talk about Caesar as a historical figure and as a particular location in ancient Roman society is fundamentally different than a description of him as an individual. And nobody actually talks about Caesar as an individual anyway! Even psychological or biographical profiles of him are premised on the fact that Caesar is worthy of this profile as opposed to any other person living in the Roman Republic. The reason we all know his name is that his place in history is extended beyond the individual. A Roman general and leader is fundamentally not an individual, not a private person. The very fact that I can say “Roman General” but not say any person’s name and have people understand what I’m saying is evidence of this. By definition ‘Caesar’ the historical figure is not an individual in any meaningful sense, he has power that is only available through social institutions and formations, and that is why he is known even today. Even the most liberal Great Man Theories of history locate an engine of history within the general position of Great Man (this is a fundamental contradiction within this type of thinking, the generalised Individual). If there can be more than one Great Man in history then he is not an individual, he is occupying a generalisable position in human history that can be calculated, bounded, and studied.

So it’s very frustrating to deal with! It’s an attempt to refute an explanation of a social phenomenon with individual anecdotes, much of which is already accounted for in said explanation. It makes many, many, many discussions about the social and political world endlessly repetitive and uninteresting, because you are always stuck at litigating the most basic, atomic point of reference. And of course that is the point for many people, they aren’t interested in any of this because they are racist and they are misogynistic and so on. It is an extremely effective derailing tactic, but part of the reason why it’s so effective is because individualism is such a pervasive mode of thinking. All of the groundwork is already laid out for people who say white privilege isn’t real because the social and epistemic infrastructure necessary to get other people to buy that argument has already been built for them to make that type of claim. Which is why the people who smirk at the camera when they say shit like this are so pathetic because they behave like they thought of that all by themselves, unaware or (more probably) deliberately ignoring the fact that they live in a society specifically built to facilitate, automate, and celebrate the garbage coming out of their mouth

[alexistudies]

monday, august 26th

last week, classes for the fall semester officially started! it's absolutely wild to me that i'm a 2nd year PhD student now... 1st year went by hella quick but it was such a fruitful year. i'm hoping my 2nd year is just as amazing and filled with learning.

this semester, i'm taking

clinical neuro

multiple linear regression (data science course)

biostats and bioinformatics

prodev seminar

the biostats class starts in october bc its a half session, online course so in reality, im only taking 2 real classes at a time.

pictured above

setting up an EEG system in our lab for my upcoming study

the loft at this amazing coffee spot in PHX

my typed up data checklist and protocol for my EEG study (i don't want to admit how long those took me to write)

i hope you all have a great start to the semester!

[vind3miat0r]

project meridian loop theory

oohhh boy, we're back with me putting on a tinfoil hat and yapping about theories again

this is, of course, about the newest Project Meridian audio, so spoilers for that!!

(putting everything under the cut because theres a LOT)

JESUS CHRIST. okay. thats a lot. lots to unpack here mhm yep.

okay guys hear me out: Asset is stuck in a time or a simulation loop

bear with me im about to get REALLY nerdy with this BUT

Star Trek: The Next Generation, Season 5 Episode 18 — "Cause and Effect" is a time loop episode. the entire crew gets caught in a time loop for about 27 days (but they obviously dont realize this until theyre out of the loop) the loop always begins with Captain Picard's personal log, and always ends with the accidental destruction of the Enterprise brought on by their warp core exploding due to being damaged while attempting to get away from an incoming ship that lost control of its direction

throughout the episode, each time the loop resets, the crew experiences intense deja vu, brought on by the fact that theyre reliving the same day over and over. theyre able to predict small events that happen (what cards come next in a poker game, Beverly predicting Geordi coming into Sick Bay, etc)

AND in one iteration of the loop, the crew figures out that theyre IN a time loop, and devise a method to avoid getting hit by the previously mentioned ship, which would set off the chain reaction of the warp core exploding

they do this method by using big brain science time knowledge that im too tired to understand, but basically the motif of the number 3 starts showing up in the next loop reset, and when the Enterprise is once again faced with only two choices to get away from the incoming ship, Data realizes that the reoccurring 3s are connected to Commander Riker (who has three pips to signify his rank)

(for context, in every loop where the Enterprise gets destroyed, the Captain followed Data's plan of using the tractor beam to steer the incoming ship away from the Enterprise. Riker's plan was to depressurize the cargo bays) Data follows through with Riker's plan, and this time the Enterprise doesnt explode (yippee!!)

you might be thinking, "Vinn, you just explained the entire episode to us. what does that have to do with project meridian??"

well, using instances from "Cause and Effect," we can compare them to some instances that just happened in "Something's Wrong"

— the second phone call could be an outside attempt to break Asset from the time/simulation loop

— Asset knowing who the Solitaires are despite not having access to information on them could be from another loop where James told them who the Solitaires are, and Asset remembering

— the phone at the end could signify the end/restart of the loop

— Asset's uneasiness about the Meridian in the beginning of the audio and their want to "seek approval" before entering it ( could be brought on by them somewhat remembering whats happened in previous loops)

— the first phone call (the one James picks up), theres some spooky ooky ambience in the background (could be that the phone is a conduit to the "real" timeline/world and only Asset is able to pick up on that??)

— when Asset and James leave the first room and enter a new area, someone on the PA makes an announcement for the Deltas. this announcement glitches, but James doesnt seem to notice, as he continues talking (i cant quite make it out, but it almost sounds like someone else is saying something?) (again, it could be interference from outside of the loop attempting to reach Asset)

— when stepping out of the elevator, someone brings James "the latest simulation report." again, outside interference/echoes from a previous loop perhaps trying to signal to Asset that theyre stuck in a simulation

— phone at the end also as someone saying "pick up" or "wake up," didnt realize until someone pointed it out. its very faint, but its there (again, could be someone attempting to break Asset out of the loop)

one thing that i find interesting (thats not related to the loop theory) is that James says the force in the Meridian "diverts demons away" and "breaks human minds" when usually demons are allowed through the Meridian and humans just. die. then again, we have no idea when PM takes place, so it could be normal if this is like,,, a good number of years in the future

uhh hashtag yeah. im perfectly sane guys :3

[creature-wizard]

Critical thinking tip: Beware of false equivalencies!

A false equivalence is a claim that two or more things that might appear superficially similar are actually the same, when in reality they aren't really comparable at all.

An example of this is when young Earth creationists (who proclaim that Earth is only 6000 years old and everything in Genesis happened literally) claim that they are simply just interpreting the same facts differently from other scientists, as if it's just like the famous rabbit-duck illusion where one is equally justified in seeing either a rabbit or a duck.

But the reality is that young Earth creationism simply doesn't work like this. Instead, their "science" is based on cherry picked data and ad hoc reasoning to try and dismiss the many facts real scientists discover that constantly show that young earth creationism just isn't very likely. Radiometric dating, tree ring data, and geological data consistently show that the Earth is quite a bit older than 6000 years. YEC responses to this often boil down to "well maybe physics just worked differently back then" (here's one example of this), and of course they never do any real tests or research to show that this is a real possibility. Moreover, they invent some absolutely bizarre claims to supposedly disprove evolution - like falsely claiming that the Second Law of Thermodynamics prohibits it.

All of this shows us that YECs aren't just scientists who interpret the data correctly - they are politically-motivated spin doctors using the aesthetic of science to make themselves look more credible. This is why when someone claims that their fringe idea is just as scientifically credible as a mainstream one, you have to ask yourself if that's really true. Are they following the scientific method and accepting results that don't align with what they wanted? Or are they engaging in special pleading and relying on fake evidence?

(By the way, I recommend Gutsick Gibbon's YouTube channel as a resource debunking YEC claims!)

Another form of false equivalence is when someone claims that mystical experiences and intuition are just as valid for determining what's going on in the world as genuine scientific research. But when we consider that something as wrong as World Ice Theory came from an apparently mystical dream, we have to consider that these kinds of experiences can be extremely misleading. We also know that professional psychics' yearly predictions have a high rate of failure. (Some examples. More examples. And some more examples. And even more examples!) We know that a tool such as the Ouija board can enhance memory recall, but when we're really honest about the accuracy of mystical information-gathering means, we have to admit that they're just no substitute for research and study.

So when someone asserts that two things are basically the same, or are fundamentally equivalent or fungible, ask yourself - are they really, though? And then do the research to find out!

[techyseeducation]

Techyse Education in Marathahalli, Bangalore, offers specialized Data Analytics Training in Marathahalli for individuals looking to build expertise in Python, Power BI, and data analysis techniques. Their industry-aligned courses focus on practical learning through real-world projects, ensuring students gain hands-on experience in data manipulation, visualization, and dashboard creation. Whether you are a beginner or an experienced professional, Techyse’s programs are designed to enhance your skill set, making you job-ready for roles in data analytics.

Comprehensive Data Analytics Training in Marathahalli Techyse Education takes pride in delivering high-quality Data Analytics Training in Marathahalli, backed by experienced instructors with deep industry knowledge. The curriculum covers essential tools and techniques, from data wrangling with Python to creating interactive dashboards using Power BI, ensuring students are prepared to meet industry demands. With personalized mentorship, career support, and placement assistance, Techyse provides a well-rounded learning experience. Whether aiming for career growth or a fresh start in data analytics, Techyse Education equips learners with the skills to excel in a competitive job market.

Techyse Education | Data Analyst, Python, Power BI Training in Marathahalli, Bangalore

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[batmanisagatewaydrug]

Im doing a project about disinformation (specifically pseudoscience) and I've found a great paper that is trying to define pseudoscience by one common characteristic.

"Boudry and Braeckman (2011) have distinguished between ‘immunizing strategies’ and ‘epistemic defense mechanisms’, documenting how these appear in various guises in practically every pseudoscience (the relationship with Popper’s “conventionalist stratagems” will be discussed in 4.1). Immunizing strategies are defined as generic arguments or tactics that serve to protect a belief system from critical scrutiny and adverse evidence, while defense mechanisms refer to the special cases in which the immunizing tactics form an integral part of the belief system itself. (...) In many pseudoscience, core concepts are either ambiguous and amenable to a range of interpretations, or they are retrospectively redefined whenever threatened with refutation. Such strategic vagueness is characteristic of creationism and Intelligent Design theory, astrology, Freudian psychoanalysis, graphology, homeopathy, and various forms of alternative medicine." - Diagnosing Pseudoscience – by Getting Rid of the Demarcation Problem, Maarten Boudry

I just thought it might be relevant in your fight against astrology/anti-science crowd. Science doesn't try to immunize itself against scrutiny, only pseudo-science does.

I want to be so clear here that I do pretty vigorously disagree with the notion that everyone working in the sciences is a noble intellectual who's always open to new data and loves being proven wrong. anyone can be a shithead and I never made the claim that every psychologist in the world is a beacon of perfect, unbiased research and is above reproach. of COURSE some scientists try to immunize themselves against scrutiny, for any number of reasons including biased ones because people in any field can be real shitheads who 100% let their own bigotries color their work. that of course includes psychologists, given that psychologists are human and therefore fallible.

my stance is not and has never been "psychology is superior to astrology because it's an academically unblemished field of study," it's "psychology is more credible than astrology because it's a.) a field of study that is at least held to some standards and b.) dedicated to studying something that demonstrably has an effect on human behavior, unlike planetary movements."

[dravenscroft]

So my wife and I are working on a long fic that's a Terror modern AU set in a secondary school. My wife is a teacher and has experienced The Horrors of crappy schools being taken over by academy trusts and becoming weirdly corporate firsthand. We're like 50k into it and it'll probably be like 60k? I think? Anyway we're uploading it on my Ao3 soon but here's a brief rundown of some of the highlights:

Crozier is the new joint head of school, he's been moved there against his will to work alongside Fitzjames, the 'Head of Data', which Crozier thinks isn't a real job.

Franklin is the Executive Head but he's NEVER at the school, he's always busy at head office and has no idea what chaos goes down.

Fitzjames used to be a drama teacher until he got promoted up. He hasn't taught in years and so Crozier has zero respect for him...at first.

Little is the exhausted head of English and he is regularly being verbally abused by the children. He is having a Bad Time.

Hodgson is the music teacher. Irving is the art teacher.

Collins is the maths teacher...he has had a sniffle since the start of the year...he is maybe over medicating with Lemsip and cough medicine in an effort to keep coming to work.

Goodsir is the bright-eyed NQT biology teacher. He is still full of wonder and hope. Oh, to see the UK education system 'with eyes as an NQT...'

Stanley is the head of science. He is not full of wonder and hope. Obviously.

Blanky is the geography teacher who has been there since forever and doesn't take any shit. He's beloved by the kids but they also rightly fear him because he will tell them what for if they misbehave. He also has NO concept of professional corporate speak in emails. He will tell it like it is.

...Oh yeah, there's emails in there too. It's partly epistolary.

Jopson is the highly competent office worker for the school reception. He WILL find a way to schedule the unscheduleable, he WILL handle any difficult parent that comes his way, and he WILL answer every email in a timely fashion.

He works alongside Billy of course, who doesn't want to be there, except maybe for the gossip.

Bridgens takes on the work of several as is normal in a terrible school...he's librarian, and the first-aider, and a TA, along with his husband Peglar who is also a TA.

Tozer is the disillusioned P.E teacher who USED to enjoy his job until Heather left and took another job on the other side of the country and the Academy (Admiralty Trust) took over...now he hates his job and is totally checked out.

And then of course there's Hickey...a problematic parent who has made bringing down Crozier and the school his primary goal. It was very hard to imagine Hickey with a kid but we came to the decision that his daughter was born when he and the girl's mother were like 15, a one-time fling before he figured out his sexuality, and he has Regretted It Ever Since because good GOD this man doesn't want to be a father. He only has her on weekends and isn't in contact with her mother at all. He WANTED to run off to Hawaii like in canon but then his kid's mother said she'd chase him to the ends of the earth for child maintenance if he did. He is NOT a good father, this troubled, angry teenage girl lives off takeaway and pot noodles and they mostly just try to avoid each other when she's at his scummy little flat. HOWEVER, because Hickey is all about his ego, when there are Issues with his daughter at school Hickey takes it as a slight against HIM, and makes revenge his goal.

His daughter also features, she's a 'managed move' student who was nearly expelled from her last school for bringing in a knife. She's very troubled and terrorises the teachers (she's referred to as 'a little terror' in one of the emails...) but she also ends up bonding a little with Crozier, who tries his hardest to turn things around for her. It's just too bad her father wants to cause Problems rather than do anything to ACTUALLY help her.

Anyway yeah. It's mostly comedic but with a few serious issues tackled (like the obvious neglect this girl experiences, for one) - it's mostly been a way for my teacher wife to rant about Academy schools and just the general failings of the UK school system lmao. There is Social Commentary involved.

Anyway it's Coming Soon.