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Data Science Curriculum for Professionals - KDnuggets

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If you have finally decided to take the path from Excel-copy-and-paste to reproducible data science, then you will need to know the best route to take. The good news is that there is an abundance of free resources to get you there and awesome online communities to help you along the way. The bad news is that it can get overwhelming to pick which resources to take advantage of. This here is a no-nonsense guide that you can follow without regret, so you can spend less time worrying about the trail and more time trekking it. It's based on the lessons I learned when I went from a renewable energy project engineer who had never taken a statistics class to the head of a major data platform. At the trailhead for this journey, you can find an army of educated individuals doing data analysis by necessity, not passion.


We're Building a Data Science Curriculum with Advanced Mathematics and Machine Learning

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We're expanding freeCodeCamp's Python section into a full-blown data science curriculum and we need your help. Currently, these data science skills are only taught at a few universities around the world. Our goal is for anyone, anywhere to be able to learn these advanced mathematics and machine learning concepts and that data scientists use in the field. You'll be able to code your way through a series of hundreds of Python projects to earn certifications in: You'll be able to build these projects in your browser or offline in your operating system. You'll use Jupyter Notebooks filled with interactive graphs, datasets, and automated tests to check your code.


My Doctor Told Me My Pain Was All in My Head. It Ended Up Saving Me.

Slate

It began with a pulled muscle. Each day after school, as the sun sank dusky purple over the hills of my hometown, I'd run with my track teammates. Even on our easy days, I'd bound ahead, leaving them behind. It wasn't that I thought myself better than them--it's that when I ran fast, and focused on nothing but the cold air burning my lungs and my feet pounding, my normally anxious thoughts turned to white noise. I limped a little, and then tried running again: sharp, hot pain radiated down my thigh. Panic flooded me, as I imagined weeks without running: weeks without a predictable break from my own thoughts, weeks immersed in adolescent loneliness.


Top Data Science Education Initiatives By Institutions In 2020

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While normal education suffered a standstill in 2020, there were a lot of online courses and programs that were initiated by some of the most prestigious institutions as well as big tech giants so that the process of learning and skill development doesn't suffer. As the trend has been for a few years now, some of the most interesting initiatives were seen in the field of data science. In this article, we have listed some of the prominent data science education programs and initiatives in 2020. Microsoft, in collaboration with Netflix, has launched three new learning modules on beginners concepts in data science, along with machine learning and artificial intelligence. The design of these courses is inspired by the Netflix original film -- 'Over The Moon,' where a young girl Fei Fei, who builds a rocket to the moon, embarks on a mission to prove the existence of Moon Goddess.


Applying artificial intelligence to science education

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Based on a review of 47 studies, investigators developed a framework to conceptualize machine learning applications in science assessment.


Applying artificial intelligence to science education

#artificialintelligence

A new review published in the Journal of Research in Science Teaching highlights the potential of machine learning--a subset of artificial intelligence--in science education. Although the authors initiated their review before the COVID-19 outbreak, the pandemic highlights the need to examine cutting-edge digital technologies as we re-think the future of teaching and learning. Based on a review of 47 studies, investigators developed a framework to conceptualize machine learning applications in science assessment. The article aims to examine how machine learning has revolutionized the capacity of science assessment in terms of tapping into complex constructs, improving assessment functionality, and facilitating scoring automaticity. Based on their investigation, the researchers identified various ways in which machine learning has transformed traditional science assessment, as well as anticipated impacts that it will likely have in the future (such as providing personalized science learning and changing the process of educational decision-making).


'It's good coding': Computer science students drawn to classes on Sanskrit, a 3,500-year-old language

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The course typically attracts students majoring in the study of religion, who are learning the language to further their research into Hinduism, Buddhism and Sikhism. Reading through her class list, however, Mills found that of six of the 40 enrolled students were actually computer science majors. "I'm always excited when there are students from an unexpected place," she says. The lingual connection between Sanskrit and computer science, it turns out, has been the subject of interest for quite some time. The first well-known publication that examined the relationship was in 1985, when NASA scientist Rick Briggs published a research paper in which he argued that the 3,500-year-old language was the best candidate for programming artificial intelligence technology – namely because of its adherence to rigid grammatical rules.


Comprehensive Project Based Data Science Curriculum

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This is where you'll improve your coding abilities, math understanding and start working on real data science problems. In this respect, I highly recommend taking what I consider is the best data science boot camp out there: Le Wagon. With a heavy emphasis on practical exercises and a final project in which you get to deploy your own machine learning model, this highly intensive boot camp will give you a big picture data science end to end: just enough theory, data wrangling, data viz, programming inside an IDE, Git, machine learning, deep learning, data engineering. Once you understand and have worked on the most important parts of data science, you'll have a better idea of what you like, what your strengths and weaknesses are, and where to head next. This is also an opportunity to build your network.


Applying artificial intelligence to science education

#artificialintelligence

This review article aims to examine how machine learning has revolutionized the capacity of science assessment in terms of tapping into complex constructs, improving assessment functionality, and facilitating scoring automaticity.


Applying artificial intelligence to science education

#artificialintelligence

A new review published in the Journal of Research in Science Teaching highlights the potential of machine learning--a subset of artificial intelligence--in science education. Although the authors initiated their review before the COVID-19 outbreak, the pandemic highlights the need to examine cutting-edge digital technologies as we re-think the future of teaching and learning. Based on a review of 47 studies, investigators developed a framework to conceptualize machine learning applications in science assessment. The article aims to examine how machine learning has revolutionized the capacity of science assessment in terms of tapping into complex constructs, improving assessment functionality, and facilitating scoring automaticity. Based on their investigation, the researchers identified various ways in which machine learning has transformed traditional science assessment, as well as anticipated impacts that it will likely have in the future (such as providing personalized science learning and changing the process of educational decision-making).