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The Psychology of Social Status and Class | Rob Henderson – The Daily Wire

The Jordan B. Peterson PodcastMar 8, 2024

Dr. Jordan Peterson speaks with best-selling author, Air Force veteran, and psychologist Rob Henderson. They discuss his recent memoir Troubled: A Memoir of Foster Care, Family and Social Class and go through Robs tumultuous upbringing within the California foster care system, the lived and observed transformations of social status and class as he ascended to Yale and Cambridge, how his thoughts on family structure and luxury beliefs developed, and why bookstores wont host him for his tour.

Rob Henderson grew up in foster homes in Los Angeles and in the rural town of Red Bluff, California. He enlisted in the U.S. Air Force at the age of seventeen. Following his enlistment, he attended Yale on the G.I. Bill and was subsequently awarded the Gates Cambridge Scholarship to study at the University of Cambridge, where he obtained a PhD in psychology in 2022. His writing has appeared in the Wall Street Journal and Quillette, among other outlets, and his Substack newsletter is sent each week to more than 50,000 subscribers.

- Links -

2024 tour details can be found here https://jordanbpeterson.com/events

Peterson Academy https://petersonacademy.com/

For Rob Henderson:

Troubled: A Memoir of Foster Care, Family, and Social Class (Book) https://www.amazon.com/Troubled-Memoir-Foster-Family-Social/dp/1982168536

On X https://twitter.com/robkhenderson?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor

Substack https://substack.com/@robkhenderson

Newsletter https://www.robkhenderson.com/

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Andrew Klavan On Finding ‘The Joy Of My Joy’ After A ‘Horrible Darkness’ – The Daily Wire

The following is a transcript excerpt from Dr. Jordan Petersons conversation with Andrew Klavan on how coming to know God over time develops an experiential relationship and why the journey toward the self you were made to be is a joyful journey. You can listen to or watch the full podcast episode on DailyWire+.

Start time: 1:28:08

Andrew Klavan:This is one of the problems Ive always had with the postmodernists: They talk about the meaninglessness of language, but I understand what theyre saying. And so obviously except with Derrida, who had the integrity to write absolute gibberish they actually are disproving their own point. And they talk about, basically, the fact that we cant know anything, but we can. We can know if I go north, I get to Canada; if I go south, I get to Mexico.

Jordan B. Peterson:Right. We cannot know anything purely by words.

Andrew Klavan:Yes, thats right. And so I really did have some kind of trust in myself. I simply could not break through my milieu, which was so default at least agnostic and really atheistic. The other thing about this, too, by the way, is being a bit of a tough guy, I thought that, in my misery when I cracked up, to embrace God, even though it was logical, was a crutch. How would I know whether I had embraced him in reality or just because I wanted to get out of this incredible pain I was in? And so I couldnt do it.

When, years later, I was now a very happy person, my career took off, everything started to go right, I still had that logic and something else was true as well, which was that I had been a real Freudian. I had grown up in that real core Freudian world where all the art stank because everybodys trying to prove your mother was to blame for everything and all that. And I didnt come to feel that what Freud said was utter nonsense; I came to feel that the details of what he said were utter nonsense, that the structure of the relationship between a therapist or a mentor and a client or a son or a friend or whatever, I thought he got a lot of that quite right the idea of transference and all this which made me feel that all of the insights I had had in therapy that I thought were salvific had not been.

What had been salvific was the loving relationship I had had with this older man who had taken the place of a father who had not been very helpful and it was actually the love that had saved me, and I began to believe in psychology.

Jordan B. Peterson:Well, that is that relationship again.

Andrew Klavan:Yes. And it made me feel that psychology is a story, that stories give us the ability to take the ineffable and move it around a little bit. And so you split up things that are actually unified into pieces that you can move. And that brought me back to God.

And ultimately, it comes back to fiction again and how much I love fiction. I was reading. I dont know if youve ever read the Patrick OBrien novels? Theyre just wonderful seafaring adventure stories about the Napoleonic wars. Theyre absolutely brilliant.

Jordan B. Peterson:No, no. I do not know of them.

Andrew Klavan:In them, theres a very intellectual character named Maturin whos an ugly little man but very brilliant and kind of a spy. I kind of admired him and identified with him a little bit. Hes a Catholic, and theres a scene where he was falling asleep, and the line is: He said a prayer and went to sleep. And I was reading in bed and I thought, well, if Maturin can say a prayer before he goes to sleep, so can I.

And I just thanked God for the journey I had come out of this horrible darkness that I thought was the end. I thought I was going to kill myself. Instead, I had come out, and here I was now. I had two children. My career was great. I was so happy to be with my beloved wife. I was living in a wonderful place. And I thanked God, and it changed my life. I woke up the next morning, and everything was brighter. Everything was clearer the details of life. I christened it the joy of my joy.

Jordan B. Peterson:That is the definition of gratitude.

Andrew Klavan:Yes.

Jordan B. Peterson:So you pointed to three things there that we should take apart. Maybe we can close with this.

The first is, one of the primary Freudian accusations and Marx did this too was that religion was just a shield against death-anxiety or a sop for the victimized poor. That would be Marx. But Freud was a little bit more trenchant, saying it is a shield of meaning the weak use to protect themselves against the ultimate reality of pointless death. People like Ernest Becker made much of that in his Denial of Death, which is actually really a great book, even though it is fundamentally wrong. It is a great book.

But there is something really unwise about that perspective. So here are three arguments against that from someone who really admires Freud, by the way. First of all, if that was the case, why bother with hell? Because medieval people were as scared as hell of hell as modern people are of death. The evidence for that is clear. And you might say, Well, hell was just a convenient place to put your enemies. But that is not a good analysis. So, if it is just a death-anxiety shield, then why decorate it with this terrible moral obligation and the reality of hell? So that is a big problem for that theory.

Then you have two other problems, which is that you are supposed to hoist your cross as a Christian believer, and there literally is not anything worse than that by definition because it means you have to stand up to the mob, even if they are your brothers; that you have to forsake your family in pursuit of ethical truths; that you have to suffer torment physical and metaphysical; and that you have to face the reality of hell itself.

So, sorry, that is not a defense against death-anxiety, not least because I think you can make a very powerful case that confronting malevolence is worse than confronting death.

Andrew Klavan:Yes.

Jordan B. Peterson:We know this because people are rarely traumatized by a brush with death, and they are routinely traumatized by a brush with malevolence. So even on those grounds, you can see that the reality of evil is more trenchant and salient than the reality of death. So that Freudian argument? It is just not right. He got that wrong.

Andrew Klavan:This is where Freud indulges in quackery a little bit. Hes interviewing, you know, 20 hysterical Victorian Viennese, and he decides that God is a projection of the father. And he says it very definitively, and you think: Hey, youre welcome to your opinion. But really, what youre talking about to me is like saying that you believe in bread to forestall the fear of hunger.

You know, C.S. Lewis points out that we dont have any desires that dont have an answer. All our desires have an answer, in fact, in the world; everything that we hunger for is actually there. And this is one of my problems with the evolutionary biologists who think that they can trace the creation of morality. My point about that is its like saying that because I have eyes, that Ive invented light, you know. Ive invented the human experience of light, perhaps, but not light itself.

And its the same thing with the moral sense that we have. You can say its a result of evolution. Thats fine. But its a result of evolution like the eye in relationship to something that exists, which is the moral order. And I think that these arguments really do fall apart once you begin to have a realistic view of God and not the sort of happy, you know, yellow face with a smile on it. I have to tell you that weeks after my baptism, my wife, who now knows me to my footsoles turned to me and said, you are such a different person; you are just filled with joy and relaxation. Knowing God has been joy on joy for me. I have to tell you.

This is one of the least quoted lines in the Gospel, but Jesus said, Im telling you things so that my joy will be in you and your joy will be complete. Somehow religion manages to turn this into this tormented struggle with your sexual desires or whatever. But no, I actually do think this journey toward the self that you were made to be is a very joyful journey. And every time you take a step on it. And by joy, I dont mean happiness. I dont mean, again, that smiley face. I mean a vitality of life.

The only evidence for love is over time. Experience over time is the evidence for love. I think thats true of God, too, ultimately. Theres no proof of God. Theres only experience over time as you get to know him, and it develops in your life and I highly recommend that. Thats all I can say.

* * *

To continue, listen or watch more content with Dr. Jordan Peterson on DailyWire+.

Dr. Jordan B. Peterson is a clinical psychologist and professor emeritus at the University of Toronto. From 1993 to 1998 he served as assistant and then associate professor of psychology at Harvard. He is the international bestselling author of Maps of Meaning, 12 Rules For Life, and Beyond Order. You can now listen to or watch his popular lectures on DailyWire+.

Andrew Klavan is the host of The Andrew Klavan Show at The Daily Wire. He is the bestselling author of the Cameron Winter Mystery series. The third installment, The House of Love and Death, is now available. Follow him on X: @andrewklavan

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Andrew Klavan On Finding 'The Joy Of My Joy' After A 'Horrible Darkness' - The Daily Wire

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They Took Our Daughter | Todd & Krista Kolstad – The Daily Wire

The Jordan B. Peterson PodcastMar 4, 2024

Dr. Jordan Peterson speaks in-person with Todd and Krista Kolstad. They discuss their ongoing court battle with the state of Montana surrounding the removal of their daughter from their home, and then to Canada, for lack of gender affirmation.

Krista Cummins-Kolstad was born and raised in Akron, Ohio. After mortuary school, she moved to Flathead County, Montana where she spent the next 13 years as a licensed mortician and funeral director. She married Todd Kolstad in 2017 and recently moved to Glasgow Montana to give her daughter a fresh start. She has been working with her husband Todd at his company, Montana Technical Solutions since 2021.

A Glasgow, Montana native, Todd Kolstad spent his high school years in the Phoenix, Arizona area. He served in the Air Force from 1987 to 1991 mostly stationed in Kadena Air Base with the 12th tactical fighter squadron. After his military service he worked for Siemens nuclear power for 10yrs doing nuclear instrumentation. He then worked for KLA-Tencor performing laser alignment robotics globally. He then returned to the glasgow Montana area and started the company he has today: Montana Technical Solutions. Todd has five children with his ex wife. He moved to the flathead valley area where he met and married Krista Cumm.

- Links -

2024 tour details can be found here https://jordanbpeterson.com/events

Peterson Academy https://petersonacademy.com/

For Todd & Krista Kolstad:

Given Send Go campaign to help with legal fees https://www.givesendgo.com/GBMG9

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They Took Our Daughter | Todd & Krista Kolstad - The Daily Wire

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NVIDIA and HP Supercharge Data Science and Generative AI on Workstations – NVIDIA Blog

Coming to Z by HP AI Studio, NVIDIA CUDA-X Data Processing Libraries Boost Python Pandas Software for Millions of Data Scientists

HP Amplify NVIDIA and HP Inc. today announced that NVIDIA CUDA-X data processing libraries will be integrated with HP AI workstation solutions to turbocharge the data preparation and processing work that forms the foundation of generative AI development.

Built on the NVIDIA CUDA compute platform, CUDA-X libraries speed data processing for a broad range of data types, including tables, text, images and video. They include the NVIDIA RAPIDS cuDF library, which accelerates the work of the nearly 10 million data scientists using pandas software by up to 110x using an NVIDIA RTX 6000 Ada Generation GPU instead of a CPU-only system, without requiring any code changes.

RAPIDS cuDF and other NVIDIA software will be available as part of Z by HP AI Studio on HP AI workstations to provide a full-stack development solution that speeds data science workflows.

Pandas is the essential tool of millions of data scientists processing and preparing data for generative AI, said Jensen Huang, founder and CEO at NVIDIA. Accelerating pandas with zero code changes will be a massive step forward. Data scientists can process data in minutes rather than hours, and wrangle orders of magnitude more data to train generative AI models.

Data science provides the foundation for AI, and developers need fast access to software and systems to power this critical work, said Enrique Lores, president and CEO of HP Inc. With the integration of NVIDIA AI software and accelerated GPU compute, HP AI workstations provide a powerful solution for our customers.

NVIDIA CUDA-X Speeds Data Science on HP Workstation Solutions Pandas provides a powerful data structure, called DataFrames, which lets developers easily manipulate, clean and analyze tabular data.

The NVIDIA RAPIDS cuDF library accelerates pandas so that it can run on GPUs with zero code changes, rather than relying on CPUs, which can slow workloads as data size grows. RAPIDS cuDF is compatible with third-party libraries and unifies GPU and CPU workflows so data scientists can develop, test and run models in production seamlessly.

As datasets continue to grow, RTX 6000 Ada Generation GPUs provide 48GB of memory per GPU to process large data science and AI workloads on Z by HP workstations. With up to four RTX 6000 GPUs, the HP Z8 Fury is one of the worlds most powerful workstations for AI creation. The close collaboration between HP and NVIDIA allows data scientists to streamline development by working on local systems to process even large generative AI workloads.

Availability NVIDIA RAPIDS cuDF for accelerated pandas with zero code changes is expected to be available on HP AI workstation solutions with NVIDIA RTX and GeForce RTX GPUs this month and on HP AI Studio later this year.

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NVIDIA and HP Supercharge Data Science and Generative AI on Workstations - NVIDIA Blog

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Best Free Resources to Learn Data Analysis and Data Science – KDnuggets

Sponsored Content

In my decade of teaching online, the most significant inspiration has been that online learning democratizes access to education globally. Regardless of your ethnic background, income level, and geographical locationas long as you can surf the webyou can find an ocean of free educational content to help you learn new skills.

This article introduces six top-notch, free data science resources ideal for aspiring data analysts, data scientists, or anyone aiming to enhance their analytical skills.

At 365 Data Science, we offer a range of expertly designed flashcard decks to teach fundamental data science conceptsincluding terms and glossaries for tools like Microsoft Excel, SQL, Python, and ChatGPT. Additionally, our flashcards cover math, statistics, probability, and machine learningproviding an excellent starting point for beginners by familiarizing them with the essential data science language. Free Udemy Courses

Udemy is the go-to marketplace for online courses. Their content library includes over 100,000 titles on almost every topicincluding data analytics and data science. They also offer free courses uploaded by authors eager to share their knowledge with the public at no cost. Use the filtering options when browsing the marketplace to discover unique learning materials.

Recently, 365 Data Science launched a series of statistics calculators designed for university students and practitioners eager to grasp statistical calculations' underlying mechanics and theorybeyond merely achieving results through tools like Excel or Python. These calculators enable users to input problem data for homework, exams, or practice, revealing each step necessary to arrive at the solution rather than only the outcome. Each calculator includes a detailed statistical article to explain the conceptoffering an invaluable opportunity to learn through comprehension and application.

Utilize these complimentary statistics calculators to discover how to:

YouTube's data content creators deliver immense valueoffering everything from concise tutorials and job-seeking advice in data science to comprehensive courses. If you're seeking exceptional, free data science learning resources, consider these top recommendations:

At 365 Data Science, we offer a wealth of free resources to our students. For those keen on exploring data science without financial constraints, download our complimentary course notes and career guides. You can access various topics at no cost, including Intro to Data Science, Statistics, Probability, Python, Machine Learning, Data Strategy, and others.

In addition to course notes, you can download 365s free Data Analyst Career Guide and Data Scientist Career Guide.

Google, Microsoft, Amazon, and other Big Tech organizations have shown increasing interest in providing free online courses to individuals worldwide.

For instance, you can sign up at no cost for Google's Data Analytics Professional Certification on Coursera, accessing courses for free until opting to pay a reasonable fee for a certificate of completion.

This comprehensive list of free data science learning resources is a testament to the quality content available online at no cost. The wealth of available educational resources will motivate future data analysts and scientistsenhancing global skillsets and career prospects, regardless of humble origins.

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Garud Iyengar named Director of Columbia Data Science Institute – The American Bazaar

Indian American professor Garud Iyengar has been appointed as the next Avanessians Director of the Data Science Institute at Columbia University. He will begin as DSI Director on July 1.

Currently the Tang Family Professor in the Department of Industrial Engineering and Operations Research and Vice Dean of Research, Iyengar will play a key role in leading Columbias AI initiative, identified as a key University priority.

Iyengar brings a wealth of experience in academic leadership and long record of success in convening faculty from disparate fields to tackle pressing interdisciplinary challenges, Interim Provost Dennis A. Mitchell, stated announcing Iyengars appointment.

As the Data Science Institute builds on its decade-plus record of remarkable success in advancing the frontiers of the field, developing collaborations across Columbias many schools, and training the next generation of data science leaders, it is in exceptionally capable hands, he added.

READ: IIT Madras to set up Wadhwani School of Data Science & AI (January 31, 2024)

I am honored to lead the Data Science Institute as we continue to advance the frontiers of the field and train the next generation of data science leaders, said Iyengar. I am excited to build upon the institutes decade-plus record of success and further strengthen its impact across Columbias diverse schools, he added.

With artificial intelligence identified as one of the key priorities for the University in the coming years, under Iyengars direction, DSI will partner with EVP for Research Jeannette Wing and Columbia Engineering Dean Shih-Fu Chang in leading Columbias AI initiative, the announcement stated.

READ: Vinod Khosla slams Musks OpenAI case as sour grapes (March 5, 2024)

Iyengar has been a member of the Columbia Engineering faculty since 1998. He is currently the Senior Vice Dean for Research and Academic Programs, leading educational programs, and large-scale interdisciplinary research at the school.

Iyengar has played a central roles at DSI since its founding. He was Associate Director for Research from 2017-19 and helped launch the Institutes PhD concentration, seed fund program, and postdoc program.

His own research has brought significant advances to the study of information, control, and optimization, and his current work addresses a broad range of domains, including cellular signaling, labor platforms, power networks, supply chains, and causal inference.

Iyengar received a B Tech in electrical engineering from the Indian Institute of Technology in 1993 and a PhD in electrical engineering from Stanford University in 1998. He is a member of Columbias Data Science Institute

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Garud Iyengar named Director of Columbia Data Science Institute - The American Bazaar

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CISS and Spark! partnership combines quantitative data and social science in research The Daily Free Press – Daily Free Press

When Meghann Lucy, a graduate affiliate of the Center for Innovation in Social Science, or CISS, collected data on cases of hoarding, she wanted to identify the patterns of where these cases were most common, she said. The problem was, she said she did not know how to visually represent the data to do the analysis.

Lucy, a sixth-year Ph.D. candidate in sociology in the Graduate School of Arts and Sciences, received a grant from CISS for her research, but struggled with using mapping softwares and quantitative data analysis to make full use of her data, she said.

She said she decided to apply for the partnership program to get help from students in BU Spark!, BUs innovation and experiential learning lab for quantitative data-driven projects, to figure it out.

After working with the lab for a semester last spring, Spark! students analyzed the data Lucy had and visualized it using maps, some of which Lucy has since included in her dissertation, she said.

[The Spark! team] had perspectives that I dont have, Lucy said. Im very much trained as a social scientist, Im not trained as a computer scientist.

The partnership between Spark! and the Center for Innovation in Social Science (CISS) began in 2023 to apply data science and computational skills to social science research, according to the CISS website.

Seth Villegas, the program lead of the partnership, and a post-doctoral fellow in the Faculty of Computing and Data Sciences, said one challenge in social science research is that researchers do not have the technical skills necessary, because the technology is fairly new.

Villegas said the younger students trained in cutting-edge technology in Spark! can provide faculty and graduate students with technical support.

CISS and Spark! partnership was made possible by funding from the College of Arts and Sciences dedicated to experiential learning, initiated by Dean Stan Sclaroff, according to the CISS website.

The interdisciplinary nature of the partnership aligns with Spark!s goals, to be the bridge between the computing and data sciences and the rest of the university, Ziba Cranmer, the director of Spark! said.

Deborah Carr, the director of CISS, and a professor of sociology in the CAS, said CISS contributes to this partnership through bringing topics that students in Spark! may not be familiar with.

What [CISS and Spark!] are doing is making science that neither [program] could have created on their own, Carr said.

The partnership solicits research proposals from faculty and graduate students, according to the CISS website.

Last year, four projects, including Lucys, were chosen according to the CISS website. This year, after receiving far more proposals than expected, nine projects were chosen in total and six were matched with undergraduate courses in the Faculty of Computing and Data Sciences, the website says.

One of the Spark!-funded projects of this years grant is led by Ana Barun, a fifth-year Ph.D. student in the Graduate School of Arts and Sciences studying archaeology. Barun said she pursued the grant because she needed help analyzing data using geospatial technology, tools for geographic mapping and analysis.

You dont learn that as an archaeologist and I just didnt have enough time to teach myself, Barun said. The fact that they were even offering something like this in the first place is amazing, so why let the opportunity pass by?

The archaeology field is constantly evolving with new technologies, Barun said. Due to the nature of working in a field with large datasets, Barun said, its necessary to collaborate with people who can use these technologies.

The partnership will allow for research on crucial topics like racism, crime and immigration, Carr said.

Molly Richard, a postdoctoral associate at CISS, had a project that was matched with an undergraduate data visualization course in CDS.

Richard used census data to estimate the scale of so-called doubled-up homelessness, often referred to as couch surfing, Richard said.

Richard said their goal is to create a data visualization website where people can find data on the rate of doubled-up homelessness in their community each year.

The instructor for the data visualization course is Anthony Chamberas, an adjunct lecturer in CDS, who has a background in analytics and data with a focus on data visualization.

Im hoping it teaches [the students] how to work on a project that has had its share of challenges and difficulties, he said. Data is never the way you want it to be when youre working with it.

He said when he was a student, he never learned to handle those difficulties because he was always given data that was clean and ready to go.

In the end, the goal is for CISS/Spark! to eventually have the resources to support all applicants, Cranmer said.

I think thats really the main thing about being part of an academic university, is that you have people in different fields that can collaborate with you and help you, Barun said.

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CISS and Spark! partnership combines quantitative data and social science in research The Daily Free Press - Daily Free Press

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Visualizing Household Income from Government Sources A Guided Walkthrough | by James Koh, PhD | Mar, 2024 – Towards Data Science

12 min read

Are you unsure about how to navigate through the sea of data on the internet, and about what can be done after obtaining relevant data from reliable sources?

Do you wonder how your household income compares with all others across your country? (I guess at least 90% of everyone out there, regardless of profession or interest.)

If your answer to either of the above is yes, this article is for you!

At the end of this guided walkthrough, you will be able to obtain the following yourself. By replacing just a single variable in the code below according to your household income, as indicated by ### just replace this with your data ###, you will be able to create a chart showing your own percentile relative to households in Singapore! (And with additional work, you can replace the dataframe using data specific to your own country.)

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Visualizing Household Income from Government Sources A Guided Walkthrough | by James Koh, PhD | Mar, 2024 - Towards Data Science

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End-to-End NLP Project with Hugging Face, FastAPI, and Docker – Towards Data Science

This tutorial explains how to build a containerized sentiment analysis API using Hugging Face, FastAPI and Docker 10 min read

Many AI projects fail, according to various reports (eg. Hardvard Business Review). I speculate that part of the barrier to AI project success is the technical step from having built a model to making it widely available for others in your organization.

So how do you make your model easily available for consumption? One way is to wrap it in an API and containerize it so that your model can be exposed on any server with Docker installed. And thats exactly what well do in this tutorial.

We will take a sentiment analysis model from Hugging Face (an arbitrary choice just to have a model thats easy to show as an example), write an API endpoint that exposes the model using FastAPI, and then well containerize our sentiment analysis app with Docker. Ill provide code examples and explanations all the way.

The tutorial code has been tested on Linux, and should work on Windows too.

We will use the Pipeline class from Hugging Faces transformers library. See Hugging Faces tutorial for an introduction to the Pipeline if youre unfamiliar with it.

The pipeline makes it very easy to use models such as sentiment models. Check out Hugging Faces sentiment analysis tutorial for a thorough introduction to the concept.

You can instantiate the pipe with several different constructor arguments. One way is to pass in a type of task:

This will use Hugging Faces default model for the provided task.

Another way is to pass the model argument specifying which model you want to use. You dont

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End-to-End NLP Project with Hugging Face, FastAPI, and Docker - Towards Data Science

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Truman State University adds undergraduate option to Data Science Program – Kirksville Daily Express and Daily News

Truman State University

Truman State Universitys data science program continues to grow following the addition of a bachelor of science option starting this fall.

Last month, the Missouri Department of Higher Education and Workforce Development approved Trumans newest bachelors program. Students can now get an undergraduate degree in data science. Truman is among the first institutions in Missouri to offer a bachelors degree in this emerging career field.

Simply put, data science focuses on making meaning from information. Program participants learn how to collect and analyze data, as well as gain knowledge of techniques to effectively communicate insights that can be used to solve problems through informed decision making. Nearly every industry utilizes data to some extent, from businesses trying to effectively manage inventory and purchasing decisions to streaming platforms suggesting what to watch next.

Everyone has tons of data and they dont know what to do with it, said Scott Alberts, chair of the Department of Statistics and Data Science. This program focuses on making meaning from information, including use of tools such as distributed computing and machine learning. Those skills can be used in a wide array of career fields, making this a versatile and valuable degree.

Data science is a field that naturally fits with a liberal arts education. Practitioners draw heavily on critical thinking and problem-solving skills associated with the liberal arts. Currently, starting salaries for data scientists typically range from $70,000-80,000 per year.

The bachelor of science joins a growing stable of data science options at Truman. The University already offers an online masters degree, as well as a 15-credit certificate program for working adults seeking to add skills to enhance their careers. Because Truman has been making strides in data science for years, the course infrastructure to support a full undergraduate program is already in place.

Trumans Bachelor of Science in data science degree includes a minor or second major as part of the program. Complementary fields of study are computer science, mathematics and statistics, but data science students can have a concentration in most fields, including biology, health sciences, psychology or business, among others.

The data science options at Truman have been designed to be stackable so students can tailor them to best fit their needs, said Hyun-Joo Kim, chair of the Department of Computer Science. Every class gives you a new job skill.

Students can start working toward a Bachelor of Science degree in data science as early as this fall. More information about data science offerings through Truman can be found online or by contacting the Admissions Office at admissions@truman.edu or (660) 785-4114.

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Truman State University adds undergraduate option to Data Science Program - Kirksville Daily Express and Daily News

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