KENNESAW, Ga. | Apr 20, 2023

A new Bachelor of Science in Data Science and Analytics has been approved for Kennesaw State University. The undergraduate degree rounds out a full suite of degree opportunities in the discipline, joining the Universitys existing masters and doctoral degree programs.

The Board of Regents of the University System of Georgia approved the degree at its meeting on April 19, and the program will welcome its first group of students in August 2023.

We are extremely grateful to our president and provost for supporting a key degree that will have transformative impact on student success and workforce development, said Sumanth Yenduri, dean of the College of Computing and Software Engineering.

This new bachelors degree will give Kennesaw State unique educational opportunities.

This is going to make us fully stacked in data science, said Sherrill Hayes, the director of the School of Data Science and Analytics. Kennesaw State can offer students a bachelors, a masters, and a doctorate in data science. I dont know any other university in the country that is fully stacked in data science, so that makes us proud and excited for the students we will serve.

Jobs in data science are among the most in demand in the U.S., according to the federal Bureau of Labor Statistics, with 13,500 new positions forecast per year through 2031 a growth rate of 36 percent. The median annual salary for data scientists was $100,910 in 2021, the latest year for which statistics were available.

Data science and analytics has become increasingly important in a wide range of sectors, including government, logistics, finance, healthcare, technology, retail, manufacturing and more. Data scientists analyze large sets of data to spot trends and gather other useful information to help organizational leaders make better decisions.

In outlining the need for an undergraduate degree in data science, Kennesaw State leaders cited a rising need for data scientists in metro Atlanta, northwest Georgia, and the state. The degree proposal cited an Atlanta Regional Commission opinion that data analysis will be key in addressing important issues, such as increasing the supply of quality housing, increasing civic engagement, and understanding educational performance and outcomes in the metro area.

Graduates of Kennesaw States masters degree program have seen a 99% placement rate in data science jobs within six months of graduation. KSU began offering a doctorate in data science and analytics in 2015.

Amanda Cook

A leader in innovative teaching and learning, Kennesaw State University offers undergraduate, graduate and doctoral degrees to its more than 43,000 students. Kennesaw State is a member of the University System of Georgia with 11 academic colleges. The universitys vibrant campus culture, diverse population, strong global ties and entrepreneurial spirit draw students from throughout the country and the world. Kennesaw State is a Carnegie-designated doctoral research institution (R2), placing it among an elite group of only 7 percent of U.S. colleges and universities with an R1 or R2 status. For more information, visit kennesaw.edu.

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Kennesaw State to offer bachelor's degree in data science and analytics - Kennesaw State University

Girish Linganna, Defence and Aerospace Analyst

New Delhi (India), April 19:In today's world, engineering is not just about designing and building things; it's also about collecting and analyzing data. The rise of big data and the increasing importance of data-driven decision-making have made it essential for students to understand the fundamentals of data science. With the ability to collect and analyse vast amounts of data, companies can gain valuable insights into consumer behaviour, market trends, and operational efficiency. One can leverage the power of data science to design and optimise complex systems, create predictive models, and solve real-world problems.

From Likes to Insights: The Impact of Data Science on Our World

Data science has emerged as one of the most sought-after fields worldwide, thanks to the ability to extract insights from vast amounts of data. By using scientific methods, algorithms, and systems, data science unlocks valuable insights, from predicting customer behaviour to optimizing production processes. It's no surprise, then, that data science finds applications across a wide range of industries, demonstrating its significance in our increasingly data-driven world. From finance to healthcare to retail, data science is revolutionizing the way we live and work. With the use of advanced techniques such as machine learning, data scientists can analyze vast amounts of data from various sources, including social media platforms, to identify patterns and insights that can help predict user behaviour. As our world becomes increasingly digital, the impact of data science will only continue to grow, creating numerous opportunities and career paths for those who grasp its potential.

Unlocking the Potential of Data Science: A Lucrative and Rewarding Career

Data science is rapidly emerging as one of the most coveted fields in business and industry due to the proliferation of digitization and the subsequent generation of vast amounts of data that require skilled professionals to analyze and extract insights. The interdisciplinary nature of data science, which combines mathematics, statistics, computer science, and domain expertise, enables data scientists to solve complex problems across a range of industries. The demand for data scientists in India is skyrocketing, with the data science market expected to reach $16 billion by 2025. As a result, data scientists are critical in driving business decisions by processing and analysing data to derive meaningful insights.

Bengaluru-based NUCOT is making waves as one of the leading data science institutes thanks to its innovative approach to education. Led by CEO Sandeep Kumar KK, NUCOT's program focuses on combining cutting-edge research with practical, industry-relevant skills. Its courses cover a range of topics in data science, AI, and ML using Python and tools such as TensorFlow, Pandas, NumPy, Scikit Learn, Keras, Matplotlib, Seaborn, Sympy, Plotly, and Cufflinks. NUCOT's commitment to exceptional functional and technical expertise, extensive industry knowledge, and its slogan, "Knowledge is Bliss," sets it apart from its competitors. The institute aims to create over a lakh quality data scientists, providing comprehensive training and industry-recognized certifications. In addition, NUCOT offers staffing services that connect its trained data scientists with potential employers, facilitating a smooth transition from learning to work. Graduates of NUCOT are in high demand across industries, with testimonials from successful data scientists and placements in top companies confirming the potential of this lucrative field.

Master the Art of Data Science

Aspiring data scientists looking to break into the field have a range of resources at their disposal, including data science boot camps and Kaggle. Bootcamps offer a structured and intensive learning experience that focuses on real-world projects and hands-on practice, while Kaggle provides a platform for competitions, tutorials, datasets, and community support that can help sharpen skills, build portfolios, and connect with other data scientists. However, Bengaluru-based NUCOT is taking data science education to the next level with its interdisciplinary approach and visionary leadership under CEO Sandeep Kumar KK. By providing comprehensive training in domain knowledge, statistics, data visualization, mathematics, and programming, NUCOT is producing top-quality data scientists who are equipped to tackle the challenges of the future and drive better business outcomes.

Data science has immense potential to transform businesses and industries, and extracting insights from data has become a crucial skill across various fields. India is no exception to the global demand for skilled data science professionals. Pursuing a career in data science can lead to fulfilling and lucrative job opportunities. With the right training, individuals can develop the necessary skills to address a range of data-driven challenges and make a significant impact in their chosen field.

For those seeking a career in data science, NUCOT's website (https://nucot.co.in/index.php) offers a range of courses and training programs in artificial intelligence, machine learning, and data science. Contact NUCOT via email (hr@nuage.co.in) or phone (+918025281255) to learn more.

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The Data Science Revolution: How Big Data is Changing the World - Deccan Herald

Here is information about how ChatGPT and AI with Python have been combined in data science

Today, were diving headfirst into the worlds of Python, Python-based artificial intelligence, and Python-based machine learning. Integration of ChatGPT and AI with Python in Data Science giving great results.

The need for powerful tools to analyze and interpret data has grown in importance as data continues to increase in value in todays business environment.

Thats where ChatGPT and AI and machine learning come in. They help us make sense of complicated data sets and find hidden insights.

However, manually analyzing the vast amount of data available can be an intimidating and time-consuming endeavor.

That is where computerization and chatbots like ChatGPT come in.

In the field of data science, these potent instruments are valuable assets because they can quickly and effectively analyze, process, and generate insights from large volumes of data. It now resembles making things using AI.

ChatGPT in Data Science Clarifications:

Numerous Data science applications can benefit from ChatGPTs potent capabilities. Lets take a look at a few of the ways ChatGPT can be incorporated into the Data Science workflow:

1. Business Understanding: Data science teams can use ChatGPT to better communicate with stakeholders and gain a deeper comprehension of the issue and the potential application of predictive models. In the not-too-distant future, chatbots might interact with stakeholders to investigate project requirements, such as the potential applications of the model and the modifications to organizational procedures required to make use of the model.

2. Web Scraping: Data can be scraped from websites and other online sources with ChatGPT. This can be particularly valuable for information researchers who need to assemble a lot of information rapidly and proficiently. Data scientists can save time and focus on analyzing the data rather than collecting it by automating the web scraping process with ChatGPT.

3. Exploration and Analysis of the Data: Additionally, data exploration and analysis are possible with ChatGPT. ChatGPT can assist data scientists in quickly identifying trends and patterns in data sets by utilizing natural language processing. This can be particularly helpful for huge informational collections that would require hours or even days to physically break down.

4. Modeling: Current adaptations of ChatGPT can assist with creating AI code (e.g., in Python or R). As a result, utilizing ChatGPT in a data science project is as easy as speeding up the development of R and Python code to clean and store data, create visualizations, and build ML models (perhaps by pairing a human with a chatbot). Keep in mind that there are already applications that use ChatGPT as an assistant within an editor.

5. Visualization of Data: Data visualization is another possibility with ChatGPT. By producing human-like reactions in light of the information, ChatGPT can make intelligent representations that permit clients to investigate the information in previously unheard-of ways. Using conventional data visualization techniques, data scientists may miss important insights if they dont use this.

6. Machine Learning: Machine learning applications can make use of ChatGPT. Machine learning models can benefit from ChatGPTs ability to learn from and improve their predictions. In applications like predictive analytics, where precise predictions are crucial, this can be especially useful.

By and large, ChatGPT is a useful asset that can be coordinated into various information science applications. Data scientists can save time and focus on data analysis by automating tasks like web scraping and data exploration with ChatGPT. ChatGPT can also assist users in exploring and comprehending data in novel and exciting ways by generating human-like responses based on the data.

7. Deployment: Depending on the organization and the context of the data science project, deployment requirements vary greatly. A companys processes may need to change as a result of deployment, which may be necessary for the company to use machine learning insights effectively. In this present circumstance, a chatbot could assist individuals with understanding how their job is developing and how to best use ML bits of knowledge. Deployment of an ML system may also require IT infrastructure and support. In this present circumstance, a bot could help discharge designers arrange and convey a strong foundation for the new ML arrangement.

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ChatGPT and AI have been Combined in Data Science with Python - Analytics Insight

Saturday, April 22, 2023

BrainStation is the global leader in digital skills training, empowering businesses and brands to succeed in the digital age. BrainStation is excited to bring its award-winning bootcamp event to Calgary! Experience being a Data Scientist for a day with guidance from experts at Critical Mass, ATB Financial, SkipTheDishes and more! BrainStation's Intro Day is an immersive, one-day learning experience, designed to give aspiring developers of all levels a chance to explore bootcamp learning and learn more about one of the most in-demand jobs in tech.

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BrainStation is the global leader in digital skills training, empowering businesses and brands to succeed in the digital age. Established in 2012, BrainStation has worked with over 500 instructors from the most innovative companies, developing cutting-edge, real-world digital education that has empowered more than 100,000+ professionals and some of the largest corporations in the world.

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Data Science Workshops and Industry Panel | Calgary Economic - Calgary Economic Development

Rabia Gondur, FCLC 22, and current GSAS student presents her research at the Data Science Symposium. Photos by Marisol DiazFordham faculty and students demonstrated how theyre using data to enhance medical research, examine the impact of social media, prevent AI attackers, and more at the Doing Good with Data symposium, held at the Law School on April 11.

Its particularly exciting to see how data science is being used to enhance ethically informed and motivated research, said Ann Gaylin, dean of the Graduate School of Arts and Sciences. Im also pleased to note how this research aligns so closely with GSASs mission of graduate education for the global good.

Xiangyu Tao, a fourth-year doctoral student in the applied developmental psychology program, used survey data to illustrate social medias effects on LGBTQ+ students. She found that the more time the students spent on social media, the more discrimination and hateful language they were exposed to, which caused higher levels of stress, anxiety, and depression.

Taos research also found that while LGBTQ+ students reported some positives regarding social media, such as finding a community and resources online, they did not outweigh the negatives. She shared her findings with members of the undergraduate Queer Student Advisory Board who had some insights.

[A] member brought up that positives that happen on social media fade away when you close your phone, but the negatives on social media, like discrimination, will linger and impact a persons mental health, she said.

Xiangyu Tao, a fourth-year doctoral student in the applied developmental psychology program, explains her research into social medias impacts.

Understanding the relationship between brain activity and behaviors is a main focus of neuroscience, said Rabia Gondur, an integrative neuroscience major who graduated from Fordham College at Lincoln Center in 2022 and is currently part of the accelerated masters program in data science in the Graduate School of Arts and Sciences.

How do we relate these rich, complex naturalistic behaviors to their simultaneously recorded neural activity? With our research we are trying to answer this question, she said.

But Gondur noted that oftentimes models for documenting these, are restricted to only one data modality, so either neural activity or behavior, but usually not in conjunction.

With Stephen Keeley, an assistant professor of natural sciences, Gondur worked to combine existing models to better show how that conjunction of neural activity and behavior is related. She gave an example of a fly and showed how the model tracked both the neural activity in the brain taking place and what the behavior of the fly was, such as moving its left limb or right limb.

We hope that [this combined]model can be a general tool for understanding the relationship between the brain and behavior, she said.

Nolan Chiles, a senior at Fordham College at Rose Hill majoring in integrative neuroscience, explains his research into how algorithms could support future drug discovery efforts.

Nolan Chiles, a senior at Fordham College at Rose Hill majoring in integrative neuroscience, worked with chemistry professor Joshua Schrier to conduct research on a classification algorithm that he hopes, with some additional work, can be used for drug discovery.

The predominant way that we discover new drugs, say for HIV, [is by trying]to find molecules that are effective in inhibiting infection, he said.

Traditionally this is done through a method called High Throughput Screening, which involves testing many molecules, often blindly, Chiles said, for how effective they are.

This is often costly and time inefficient, and so we are beginning to find other ways of using computational prescreening so that we can cut down on the number of molecules that we actually have to evaluate in the lab, he said.

Courtney King, a doctoral student in computer science who received her masters degree in the subject from the Graduate School of Arts and Science in 2022, worked with Juntao Chen, an assistant professor of computer and information sciences, to examine how an attacker can manipulate data to make something like a chatbot do something it was not made to do.

King gave the example of the chatbot Tay from Microsoft, which was not supposed to be able to be taught offensive language, but through policy poisoning, Twitter users were able to make her say racist things.

Data poisoning is reported as a leading concern for industry applications, King said.

Their research helped to identify a potential vulnerability where an attacker can trick the machine learner into implementing a targeted malicious policy by manipulating the batch data, such as a chatbot saying racist phrases. By pointing out this vulnerability, the researchers showed that it is crucial for a system to actively protect its stored data, and specifically its sensor data, for trustworthy batch learning. Kings paper stated that future work could include exploring how to detect or protect against this type of attack.

Courtney King, a doctoral student in computer science, describes her research into policy poisoning.

Other presentations included a look into Project FRESH Air and how the citizen science program uses monitors to detect air quality at schools in the Bronx and Manhattan; how functional difficulties, such as vision impairment, can be mapped by region; and how algorithms can be used to identify data vulnerable to ransomware attacks.

Gaylin praised all of the presenters, particularly the graduate students, for their research.

Its heartening to see that graduate students in the first cohorts of our two newest programsthe Ph.D. in computer science, and the dual masters degree in economics and data sciencehave hit the ground running, she said. These students are our future.

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'Doing Good with Data': Faculty and Students Present Research - Fordham News