web01.fireside.fm Sat, 02 May 2026 06:31:50 -0500 Fireside (https://fireside.fm) Teaching Python - Episodes Tagged with “Data Science” https://www.teachingpython.fm/tags/data%20science Mon, 30 Dec 2024 00:00:00 -0500 Welcome to "Teaching Python Podcast,” the go-to podcast for anyone interested in the intersection of education and coding. Hosted by Kelly Paredes and Sean Tibor, this podcast dives into the thrills and challenges of teaching computer science through the engaging and versatile Python programming language. About the Hosts: Kelly Paredes brings a wealth of global experience in curriculum design and currently inspires sixth and eighth graders at Pine Crest School in Fort Lauderdale, Florida. Celebrating her seventh year of integrating Python into her teaching, Kelly has a knack for making complex concepts accessible and exciting. Sean Tibor, a Cloud, Infrastructure, and Networks leader at Pfizer, draws from a rich background that spans marketing, database design, and digital agency leadership. Having taught Python to seventh and eighth graders at Pine Crest School, Sean now extends his expertise by supporting interns and tutoring students in Python. Explore with Us: * Engaging Lessons: Discover how we make Python programming both fun and accessible for young learners, equipping them with the skills to tackle real-world problems. * Classroom Insights: Experience our journey through both triumphs and trials in the classroom, and learn what it takes to foster a vibrant learning environment. * Expert Interviews: Gain valuable perspectives from interviews with fellow educators and industry experts, who share their top strategies and success stories in coding education. en-us episodic We're two computer science educators learning and teaching Python Sean Tibor and Kelly Paredes Welcome to "Teaching Python Podcast,” the go-to podcast for anyone interested in the intersection of education and coding. Hosted by Kelly Paredes and Sean Tibor, this podcast dives into the thrills and challenges of teaching computer science through the engaging and versatile Python programming language. About the Hosts: Kelly Paredes brings a wealth of global experience in curriculum design and currently inspires sixth and eighth graders at Pine Crest School in Fort Lauderdale, Florida. Celebrating her seventh year of integrating Python into her teaching, Kelly has a knack for making complex concepts accessible and exciting. Sean Tibor, a Cloud, Infrastructure, and Networks leader at Pfizer, draws from a rich background that spans marketing, database design, and digital agency leadership. Having taught Python to seventh and eighth graders at Pine Crest School, Sean now extends his expertise by supporting interns and tutoring students in Python. Explore with Us: * Engaging Lessons: Discover how we make Python programming both fun and accessible for young learners, equipping them with the skills to tackle real-world problems. * Classroom Insights: Experience our journey through both triumphs and trials in the classroom, and learn what it takes to foster a vibrant learning environment. * Expert Interviews: Gain valuable perspectives from interviews with fellow educators and industry experts, who share their top strategies and success stories in coding education. no Digital Literacy, Coding for Kids ,Tech Integration in Education, 21st Century Skills, Blended Learning, Remote Learning, Adaptive Learning Technologies, Student Engagement Strategies, Flipped Classroom, Inquiry-Based Learning,education, python, computer science, teaching, pedagogy, STEM education, programming languages, educational technology, curriculum development, instructional design, e-learning, teacher training, data science, machine learning, higher education, tech education, innovative teaching, lesson planning, edtech tools, professional development Sean Tibor and Kelly Paredes sean.tibor@gmail.com Episode 143: Computational Thinking 2.0 with Dr. John Chapin https://www.teachingpython.fm/143 d4521b9b-de50-430d-80c7-f8bd21c53b45 Mon, 30 Dec 2024 00:00:00 -0500 Sean Tibor and Kelly Paredes 143 Computational Thinking 2.0 with Dr. John Chapin full Sean Tibor and Kelly Paredes In Episode 143 of Teaching Python, Sean and Kelly sit down with Dr. John Chapin, a renowned computer science teacher and presenter at CSTA, to explore the transformative power of Computational Thinking 2.0 in CS education. They discuss its practical applications, the importance of Python and data science in modern curricula, and the future of teaching coding and machine learning. 55:59 no In Episode 143 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes engage in a compelling conversation with Dr. John Chapin, a renowned computer science educator and presenter at CSTA. As the CS Pathway Leader at the Academies of Loudoun, Dr. Chapin brings over a decade of experience in primary and secondary education, creating and implementing rigorous curricula for post-AP CS students. He shares insights into the transformative power of Computational Thinking 2.0, emphasizing the importance of Python and data science in today's educational landscape. Listeners will gain a deeper understanding of how integrating machine learning, data analytics, and mobile app development into CS education can foster a culture of inquiry, creativity, and collaboration among students and educators. Throughout the episode, Dr. Chapin discusses his recent research on the impact of whiteboarding on student self-efficacy in CS1 classes, as presented at the Association for Computing Machinery's Global Computer Education Conference (CompEd2023). He also shares his experiences conducting professional development workshops for CS teachers across Virginia and his efforts to align CS programs with the evolving needs of the workforce and society. This episode is a must-listen for educators, administrators, and anyone passionate about the future of computer science education, offering actionable ideas and inspiration to enhance their teaching practices and curriculum design. Special Guest: Dr. John Chapin. Education, Technology, Programming, Python, Coding, STEM Education, Tech Learning, Digital Literacy, Tech Tutorials, Python Programming, Computer Science, EdTech, Coding for Beginners, DIY Projects, Interactive Learning, Software Development, Teaching Technology In Episode 143 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes engage in a compelling conversation with Dr. John Chapin, a renowned computer science educator and presenter at CSTA. As the CS Pathway Leader at the Academies of Loudoun, Dr. Chapin brings over a decade of experience in primary and secondary education, creating and implementing rigorous curricula for post-AP CS students. He shares insights into the transformative power of Computational Thinking 2.0, emphasizing the importance of Python and data science in today's educational landscape. Listeners will gain a deeper understanding of how integrating machine learning, data analytics, and mobile app development into CS education can foster a culture of inquiry, creativity, and collaboration among students and educators.

Throughout the episode, Dr. Chapin discusses his recent research on the impact of whiteboarding on student self-efficacy in CS1 classes, as presented at the Association for Computing Machinery's Global Computer Education Conference (CompEd2023). He also shares his experiences conducting professional development workshops for CS teachers across Virginia and his efforts to align CS programs with the evolving needs of the workforce and society. This episode is a must-listen for educators, administrators, and anyone passionate about the future of computer science education, offering actionable ideas and inspiration to enhance their teaching practices and curriculum design.

Special Guest: Dr. John Chapin.

Support Teaching Python

Links:

]]> In Episode 143 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes engage in a compelling conversation with Dr. John Chapin, a renowned computer science educator and presenter at CSTA. As the CS Pathway Leader at the Academies of Loudoun, Dr. Chapin brings over a decade of experience in primary and secondary education, creating and implementing rigorous curricula for post-AP CS students. He shares insights into the transformative power of Computational Thinking 2.0, emphasizing the importance of Python and data science in today's educational landscape. Listeners will gain a deeper understanding of how integrating machine learning, data analytics, and mobile app development into CS education can foster a culture of inquiry, creativity, and collaboration among students and educators.

Throughout the episode, Dr. Chapin discusses his recent research on the impact of whiteboarding on student self-efficacy in CS1 classes, as presented at the Association for Computing Machinery's Global Computer Education Conference (CompEd2023). He also shares his experiences conducting professional development workshops for CS teachers across Virginia and his efforts to align CS programs with the evolving needs of the workforce and society. This episode is a must-listen for educators, administrators, and anyone passionate about the future of computer science education, offering actionable ideas and inspiration to enhance their teaching practices and curriculum design.

Special Guest: Dr. John Chapin.

Support Teaching Python

Links:

]]> Episode 142: Middle School Magic: Integrating AI, Data Science, and Computational Thinking with Kelly Powers https://www.teachingpython.fm/142 28ac0fd5-3b5f-46c2-9dae-56480c23a1d2 Sun, 22 Dec 2024 14:00:00 -0500 Sean Tibor and Kelly Paredes 142 Middle School Magic: Integrating AI, Data Science, and Computational Thinking with Kelly Powers full Sean Tibor and Kelly Paredes In Episode 142 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes converse with Kelly Powers, a middle school educator and curriculum designer. They delve into a myriad of engaging topics, including the intricacies of teaching computational thinking skills, the integration of AI and data science into the middle school curriculum, and the unique challenges and joys of teaching middle school students. The episode is packed with insights on fostering creativity, collaboration, and critical thinking in the classroom. Don't miss this enlightening discussion for educators and tech enthusiasts alike! 1:00:01 no <p>In Episode 142 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes are joined by Kelly Powers, a fellow middle school educator and curriculum designer, to explore the dynamic world of middle school instruction. As a passionate advocate for computational thinking, Powers shares valuable insights on introducing students to the concepts of AI, data science, and cybersecurity in a way that is both rigorous and joyful.</p> <h2>Topics Covered</h2> <ul> <li> <strong>Engaging Middle School Students</strong>: Strategies for capturing and maintaining student interest.</li> <li> <strong>Creativity and Collaboration</strong>: How to foster a collaborative environment that inspires creativity.</li> <li> <strong>Core Computational Concepts</strong>: Real-world applications that make these concepts accessible and interesting.</li> <li> <strong>Data Science Projects</strong>: Practical advice on integrating data science into your curriculum.</li> <li> <strong>Generative AI Ethics</strong>: Discussing the ethical use of AI in education.</li> <li> <strong>Python as a Teaching Tool</strong>: Exploring the versatility of Python for various projects.</li> </ul> <h2>Key Takeaways</h2> <ul> <li> <strong><em>Integrating Computational Thinking Skills</em></strong>: Tips on how to weave these skills into everyday classroom routines.</li> <li> <strong><em>Teamwork and Communication</em></strong>: The importance of teamwork and effective communication in coding projects.</li> <li> <strong><em>Engaging Lessons with Python</em></strong>: How Python can be used to create engaging and meaningful projects for students.</li> </ul> <h2>About Kelly Powers</h2> <p>Kelly Powers transitioned from the business world to education, bringing a fresh perspective on teaching computational thinking. She offers invaluable insights into making rigorous and joyful learning experiences for middle school students.</p> <p>Whether you are an experienced teacher or new to the field, this episode is packed with actionable ideas and inspirational moments that will help you create a more engaging and effective learning environment.</p> <p>Tune in for a lively conversation that celebrates the magic of middle school teaching and the endless possibilities of computer science education.</p> <p><strong>Listen to the episode</strong>: <a href="https://www.teachingpython.fm/142" target="_blank" rel="nofollow noopener">Teaching Python Podcast</a></p> <p><strong>Follow us on Social Media</strong>:</p> <ul> <li><a href="https://twitter.com/teachingpython" target="_blank" rel="nofollow noopener">Twitter</a></li> <li><a href="https://www.facebook.com/teachingpython" target="_blank" rel="nofollow noopener">Facebook</a></li> <li> <a href="https://www.linkedin.com/company/teaching-python" target="_blank" rel="nofollow noopener">LinkedIn</a> ``` Special Guest: Kelly Powers.</li> </ul> Education, Technology, Programming, Python, Coding, STEM Education, Tech Learning, Digital Literacy, Tech Tutorials, Python Programming, Computer Science, EdTech, Coding for Beginners, DIY Projects, Interactive Learning, Software Development, Teaching Technology In Episode 142 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes are joined by Kelly Powers, a fellow middle school educator and curriculum designer, to explore the dynamic world of middle school instruction. As a passionate advocate for computational thinking, Powers shares valuable insights on introducing students to the concepts of AI, data science, and cybersecurity in a way that is both rigorous and joyful.

Topics Covered

  • Engaging Middle School Students: Strategies for capturing and maintaining student interest.
  • Creativity and Collaboration: How to foster a collaborative environment that inspires creativity.
  • Core Computational Concepts: Real-world applications that make these concepts accessible and interesting.
  • Data Science Projects: Practical advice on integrating data science into your curriculum.
  • Generative AI Ethics: Discussing the ethical use of AI in education.
  • Python as a Teaching Tool: Exploring the versatility of Python for various projects.

Key Takeaways

  • Integrating Computational Thinking Skills: Tips on how to weave these skills into everyday classroom routines.
  • Teamwork and Communication: The importance of teamwork and effective communication in coding projects.
  • Engaging Lessons with Python: How Python can be used to create engaging and meaningful projects for students.

About Kelly Powers

Kelly Powers transitioned from the business world to education, bringing a fresh perspective on teaching computational thinking. She offers invaluable insights into making rigorous and joyful learning experiences for middle school students.

Whether you are an experienced teacher or new to the field, this episode is packed with actionable ideas and inspirational moments that will help you create a more engaging and effective learning environment.

Tune in for a lively conversation that celebrates the magic of middle school teaching and the endless possibilities of computer science education.

Listen to the episode: Teaching Python Podcast

Follow us on Social Media:

Special Guest: Kelly Powers.

Support Teaching Python

Links:

]]> In Episode 142 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes are joined by Kelly Powers, a fellow middle school educator and curriculum designer, to explore the dynamic world of middle school instruction. As a passionate advocate for computational thinking, Powers shares valuable insights on introducing students to the concepts of AI, data science, and cybersecurity in a way that is both rigorous and joyful.

Topics Covered

  • Engaging Middle School Students: Strategies for capturing and maintaining student interest.
  • Creativity and Collaboration: How to foster a collaborative environment that inspires creativity.
  • Core Computational Concepts: Real-world applications that make these concepts accessible and interesting.
  • Data Science Projects: Practical advice on integrating data science into your curriculum.
  • Generative AI Ethics: Discussing the ethical use of AI in education.
  • Python as a Teaching Tool: Exploring the versatility of Python for various projects.

Key Takeaways

  • Integrating Computational Thinking Skills: Tips on how to weave these skills into everyday classroom routines.
  • Teamwork and Communication: The importance of teamwork and effective communication in coding projects.
  • Engaging Lessons with Python: How Python can be used to create engaging and meaningful projects for students.

About Kelly Powers

Kelly Powers transitioned from the business world to education, bringing a fresh perspective on teaching computational thinking. She offers invaluable insights into making rigorous and joyful learning experiences for middle school students.

Whether you are an experienced teacher or new to the field, this episode is packed with actionable ideas and inspirational moments that will help you create a more engaging and effective learning environment.

Tune in for a lively conversation that celebrates the magic of middle school teaching and the endless possibilities of computer science education.

Listen to the episode: Teaching Python Podcast

Follow us on Social Media:

Special Guest: Kelly Powers.

Support Teaching Python

Links:

]]> Episode 116: NLP with Ines Montani https://www.teachingpython.fm/116 0641911b-1b62-48b2-bafa-eaf3ede70e64 Sat, 09 Sep 2023 15:00:00 -0400 Sean Tibor and Kelly Paredes 116 NLP with Ines Montani full Sean Tibor and Kelly Paredes In episode 116 of the Teaching Python podcast, Kelly Paredes & Sean Tibor discuss Natural Language Processing with expert Ines Montani. They explore Python's role in NLP, language complexities, label design, and classroom applications, including a Raspberry Pi-powered "magic mirror" project. 1:02:42 no This episode dives into the multifaceted realm of Natural Language Processing (NLP) with a guest expert, Ines Montani (#). The discussion revolves around the use of Python in the context of NLP, the complexities of language, the design of label schemes, and how educators and students can dive into this intriguing area. The conversation also touches on tools such as Prodigy (https://prodi.gy/) and Spacy (https://spacy.io/), as well as practical applications, including a humorous digression on the popular game, Fortnite (https://www.epicgames.com/fortnite/). Teachers are encouraged to explore NLP with their students, emphasizing the importance of hands-on experience and data annotation. There's also a mention of a fascinating project involving a "magic mirror (https://www.raspberrypi.com/tutorials/how-to-build-a-super-slim-smart-mirror/)" powered by Raspberry Pi (https://www.raspberrypi.org/). Special Guest: Ines Montani. Teaching Python, podcast, Kelly Paredes, Sean Tibor, Natural Language Processing, Ines Montani, Python, NLP, classroom applications, Raspberry Pi, magic mirror, label design, language complexities,machine learning, nlp, podcast, programming, python, raspberry pi, speech recognition, tech education, text analysis This episode dives into the multifaceted realm of Natural Language Processing (NLP) with a guest expert, [Ines Montani](#). The discussion revolves around the use of Python in the context of NLP, the complexities of language, the design of label schemes, and how educators and students can dive into this intriguing area. The conversation also touches on tools such as Prodigy and Spacy, as well as practical applications, including a humorous digression on the popular game, Fortnite. Teachers are encouraged to explore NLP with their students, emphasizing the importance of hands-on experience and data annotation. There's also a mention of a fascinating project involving a "magic mirror" powered by Raspberry Pi.

Special Guest: Ines Montani.

Support Teaching Python

Links:

  • ines.io — Hi, I’m Ines. I’m a software developer working on Artificial Intelligence and Natural Language Processing technologies, and the co-founder and CEO of Explosion. We’re the makers of spaCy, one of the leading open-source libraries for Natural Language Processing in Python, and Prodigy, a modern annotation tool for creating training data for machine learning models.
  • Explosion — Company co-founded by Ines, specializing in AI and NLP developer tools.
  • spaCy · Industrial-strength Natural Language Processing in Python — A leading Python library for NLP, designed to help process and understand large amounts of textual data.
  • Prodigy · Prodigy · An annotation tool for AI, Machine Learning & NLP — An interactive annotation tool for AI and machine learning, mentioned extensively in the conversation.
  • MagicMirror² — The open source modular smart mirror platform
  • Our Patreon — The Patreon page where listeners can financially support the podcast.
]]> This episode dives into the multifaceted realm of Natural Language Processing (NLP) with a guest expert, [Ines Montani](#). The discussion revolves around the use of Python in the context of NLP, the complexities of language, the design of label schemes, and how educators and students can dive into this intriguing area. The conversation also touches on tools such as Prodigy and Spacy, as well as practical applications, including a humorous digression on the popular game, Fortnite. Teachers are encouraged to explore NLP with their students, emphasizing the importance of hands-on experience and data annotation. There's also a mention of a fascinating project involving a "magic mirror" powered by Raspberry Pi.

Special Guest: Ines Montani.

Support Teaching Python

Links:

  • ines.io — Hi, I’m Ines. I’m a software developer working on Artificial Intelligence and Natural Language Processing technologies, and the co-founder and CEO of Explosion. We’re the makers of spaCy, one of the leading open-source libraries for Natural Language Processing in Python, and Prodigy, a modern annotation tool for creating training data for machine learning models.
  • Explosion — Company co-founded by Ines, specializing in AI and NLP developer tools.
  • spaCy · Industrial-strength Natural Language Processing in Python — A leading Python library for NLP, designed to help process and understand large amounts of textual data.
  • Prodigy · Prodigy · An annotation tool for AI, Machine Learning & NLP — An interactive annotation tool for AI and machine learning, mentioned extensively in the conversation.
  • MagicMirror² — The open source modular smart mirror platform
  • Our Patreon — The Patreon page where listeners can financially support the podcast.
]]> Episode 94: Anaconda in Education https://www.teachingpython.fm/94 de370efc-7c94-480a-80c9-08e810932dc8 Mon, 01 Aug 2022 12:00:00 -0400 Sean Tibor and Kelly Paredes 94 Anaconda in Education full Sean Tibor and Kelly Paredes Sean and Kelly speak with Anaconda and their outreach program. Anaconda supports educators and learners with the ability to understand and interpret data. This leads to better decision-making and a world where people are empowered to create positive change. 1:03:55 no Sean and Kelly speak with Anaconda and their outreach program. Anaconda supports educators and learners with the ability to understand and interpret data. This leads to better decision-making and a world where people are empowered to create positive change. Episode Errata: * The hackday event referenced in the episode was related to Pyscript and more information will come out on that shortly. * The data science competition for high school students referenced in the episode is called Data Science Expo and will be piloted in the 2022-2023 school year. Note: we had to go to the cloud-based recording backup for this episode, so you may notice a few issues with audio quality. Our editor did his best to clean it up, but there are a few rough spots. Special Guests: Albert Defusco and Sophia Yang. python,anaconda,data science,coding,education,learning Sean and Kelly speak with Anaconda and their outreach program. Anaconda supports educators and learners with the ability to understand and interpret data. This leads to better decision-making and a world where people are empowered to create positive change.

Episode Errata:

  • The hackday event referenced in the episode was related to Pyscript and more information will come out on that shortly.
  • The data science competition for high school students referenced in the episode is called Data Science Expo and will be piloted in the 2022-2023 school year.

Note: we had to go to the cloud-based recording backup for this episode, so you may notice a few issues with audio quality. Our editor did his best to clean it up, but there are a few rough spots.

Special Guests: Albert Defusco and Sophia Yang.

Support Teaching Python

Links:

]]> Sean and Kelly speak with Anaconda and their outreach program. Anaconda supports educators and learners with the ability to understand and interpret data. This leads to better decision-making and a world where people are empowered to create positive change.

Episode Errata:

  • The hackday event referenced in the episode was related to Pyscript and more information will come out on that shortly.
  • The data science competition for high school students referenced in the episode is called Data Science Expo and will be piloted in the 2022-2023 school year.

Note: we had to go to the cloud-based recording backup for this episode, so you may notice a few issues with audio quality. Our editor did his best to clean it up, but there are a few rough spots.

Special Guests: Albert Defusco and Sophia Yang.

Support Teaching Python

Links:

]]> Episode 88: Data Science Careers https://www.teachingpython.fm/88 2bb14ba9-719d-4c53-9cd3-702b9aa9caa1 Tue, 05 Apr 2022 00:00:00 -0400 Sean Tibor and Kelly Paredes 88 Data Science Careers full Sean Tibor and Kelly Paredes We welcome Michael Galarnyk. Michael currently teaches Python for Data Visualization for LinkedIn Learning, Data Analytics using Python for UCSD Extension, Machine Learning Fundamentals for UCSD Extension, and Machine Learning with Python for Stanford Continuing Studies. He has previously taught Essential Python for Global Knowledge and Data Science (Python) at General Assembly. 48:09 no In the 2007 film, Shift Happens, Carl Fisch (later modified by Scott Mcleod) stated that “The top 10 in-demand jobs in 2010 did not exist in 2004. We are currently preparing students for jobs that don’t exist yet, using technologies that haven’t been invented, in order to solve problems we don’t even know are problems yet.” Although the 65% figure has been debunked quite often and the data that was used during the video cannot always be verified, it is safe to say that the jobs of today, have evolved quite a bit since 2004. In addition, a lot of these fields are Global, rely a lot on technology and the use of code, like Python. In this podcast series, we will speak to professionals in the field that have jobs in industries including Fintech 3.0, Cybertechnology, Ethical AI, and Data Science We welcome Michael Galarnyk. Michael currently teaches Python for Data Visualization for LinkedIn Learning, Data Analytics using Python for UCSD Extension, Machine Learning Fundamentals for UCSD Extension, and Machine Learning with Python for Stanford Continuing Studies. I have previously taught Essential Python for Global Knowledge and Data Science (Python) at General Assembly. Special Guest: Michael Galarnyk. python,data science,teaching,careers In the 2007 film, Shift Happens, Carl Fisch (later modified by Scott Mcleod) stated that “The top 10 in-demand jobs in 2010 did not exist in 2004. We are currently preparing students for jobs that don’t exist yet, using technologies that haven’t been invented, in order to solve problems we don’t even know are problems yet.”

Although the 65% figure has been debunked quite often and the data that was used during the video cannot always be verified, it is safe to say that the jobs of today, have evolved quite a bit since 2004. In addition, a lot of these fields are Global, rely a lot on technology and the use of code, like Python. In this podcast series, we will speak to professionals in the field that have jobs in industries including Fintech 3.0, Cybertechnology, Ethical AI, and Data Science

We welcome Michael Galarnyk. Michael currently teaches Python for Data Visualization for LinkedIn Learning, Data Analytics using Python for UCSD Extension, Machine Learning Fundamentals for UCSD Extension, and Machine Learning with Python for Stanford Continuing Studies. I have previously taught Essential Python for Global Knowledge and Data Science (Python) at General Assembly.

Special Guest: Michael Galarnyk.

Support Teaching Python

Links:

  • Python for Data Visualization — Data visualization is incredibly important for data scientists, as it helps them communicate their insights to nontechnical peers. But you don’t need to be a design pro. Python is a popular, easy-to-use programming language that offers a number of libraries specifically built for data visualization.
  • Data Analytics Using Python | UC San Diego Extension — In this course, you will learn the rich set of tools, libraries, and packages that comprise the highly popular and practical Python data analysis ecosystem. This course is primarily taught via screen sharing programming videos. Topics taught range from basic Python syntax all the way to more advanced topics like supervised and unsupervised machine learning techniques.
  • Machine Learning Fundamentals | UC San Diego Extension — Utilizing machine learning to apply algorithms to their data has helped companies maximize efficiencies, pursue new markets, and create new products. This trend has prompted many industries to recognize the value of machine learning, creating a high demand for knowledge in this field. Understanding the theory of how machine learning algorithms work is not only important skill for being able to apply and debug code, but also an important skill for interviewing.
  • How Charts Lie: Getting Smarter about Visual Information: Cairo, Alberto: 9780393358421: Amazon.com: Books — A leading data visualization expert explores the negative―and positive―influences that charts have on our perception of truth. Today, public conversations are increasingly driven by numbers. While charts, infographics, and diagrams can make us smarter, they can also deceive―intentionally or unintentionally.
  • Dogsheep — Tools for personal analytics, powered by Datasette
  • PyCon 2022 — Sean & Kelly's PyCon talk: Learn Python Like a 12-year-old
]]> In the 2007 film, Shift Happens, Carl Fisch (later modified by Scott Mcleod) stated that “The top 10 in-demand jobs in 2010 did not exist in 2004. We are currently preparing students for jobs that don’t exist yet, using technologies that haven’t been invented, in order to solve problems we don’t even know are problems yet.”

Although the 65% figure has been debunked quite often and the data that was used during the video cannot always be verified, it is safe to say that the jobs of today, have evolved quite a bit since 2004. In addition, a lot of these fields are Global, rely a lot on technology and the use of code, like Python. In this podcast series, we will speak to professionals in the field that have jobs in industries including Fintech 3.0, Cybertechnology, Ethical AI, and Data Science

We welcome Michael Galarnyk. Michael currently teaches Python for Data Visualization for LinkedIn Learning, Data Analytics using Python for UCSD Extension, Machine Learning Fundamentals for UCSD Extension, and Machine Learning with Python for Stanford Continuing Studies. I have previously taught Essential Python for Global Knowledge and Data Science (Python) at General Assembly.

Special Guest: Michael Galarnyk.

Support Teaching Python

Links:

  • Python for Data Visualization — Data visualization is incredibly important for data scientists, as it helps them communicate their insights to nontechnical peers. But you don’t need to be a design pro. Python is a popular, easy-to-use programming language that offers a number of libraries specifically built for data visualization.
  • Data Analytics Using Python | UC San Diego Extension — In this course, you will learn the rich set of tools, libraries, and packages that comprise the highly popular and practical Python data analysis ecosystem. This course is primarily taught via screen sharing programming videos. Topics taught range from basic Python syntax all the way to more advanced topics like supervised and unsupervised machine learning techniques.
  • Machine Learning Fundamentals | UC San Diego Extension — Utilizing machine learning to apply algorithms to their data has helped companies maximize efficiencies, pursue new markets, and create new products. This trend has prompted many industries to recognize the value of machine learning, creating a high demand for knowledge in this field. Understanding the theory of how machine learning algorithms work is not only important skill for being able to apply and debug code, but also an important skill for interviewing.
  • How Charts Lie: Getting Smarter about Visual Information: Cairo, Alberto: 9780393358421: Amazon.com: Books — A leading data visualization expert explores the negative―and positive―influences that charts have on our perception of truth. Today, public conversations are increasingly driven by numbers. While charts, infographics, and diagrams can make us smarter, they can also deceive―intentionally or unintentionally.
  • Dogsheep — Tools for personal analytics, powered by Datasette
  • PyCon 2022 — Sean & Kelly's PyCon talk: Learn Python Like a 12-year-old
]]>