SuperDataScience show

SuperDataScience

Summary: Kirill Eremenko is a Data Science coach and lifestyle entrepreneur. The goal of the Super Data Science podcast is to bring you the most inspiring Data Scientists and Analysts from around the World to help you build your successful career in Data Science. Data is growing exponentially and so are salaries of those who work in analytics. This podcast can help you learn how to skyrocket your analytics career. Big Data, visualization, predictive modeling, forecasting, analysis, business processes, statistics, R, Python, SQL programming, tableau, machine learning, hadoop, databases, data science MBAs, and all the analytcis tools and skills that will help you better understand how to crush it in Data Science.

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  • Artist: Kirill Eremenko: Data Science Coach, Lifestyle Entrepreneur
  • Copyright: ℗ & © 2019 SuperDataScience

Podcasts:

 SDS 317: A Deep Dive Into Neural Nets | File Type: audio/mpeg | Duration: 3756

An incredible young guest is in this episode after he attended DSGO. Edis is a 15-year-old, building his own neural networks. We discussed his background, his process of building neural networks from scratch, Kaggle competitions, and the benefit of online data science education.Additional materials: www.superdatascience.com/317

 SDS 316: Make It About Yourself | File Type: audio/mpeg | Duration: 635

In this week’s FiveMinuteFriday I discuss how best to handle disagreements by keeping your focus on yourself and your own actions.Additional materials: www.superdatascience.com/316

 SDS 315: Making Data Accessible | File Type: audio/mpeg | Duration: 4397

Back by popular demand is Gabriela de Queiroz to discuss various data accessibility issues and how her work, talks, and organizations are working to make data science and AI more available across the board.Additional materials: www.superdatascience.com/315

 SDS 314: Meet the Team | File Type: audio/mpeg | Duration: 291

I asked the team what was one wish they had for our students on their data science journey. The answers are inspirational and encouraging for students at all levels.Additional materials: www.superdatascience.com/314

 SDS 313: The Power of Online Data Education | File Type: audio/mpeg | Duration: 3842

Marco Caviezel’s journey from research-based psychology into a career as a data analyst is really fascinating. He did his entire data education online and managed to not only teach himself in topics of machine learning and data visualization but got a job as a data analyst through his own work.Additional materials: www.superdatascience.com/313

 SDS 312: Contemplation | File Type: audio/mpeg | Duration: 779

Kirill and Mitja share some thoughts about one of the workshops at the SuperDataScience offsite retreat. They explore the practice of contemplation as a way to get a deeper understanding and insights. Additional materials: www.superdatascience.com/312

 SDS 311: Using Data Right In Smart Cities | File Type: audio/mpeg | Duration: 4442

This episode with Daniel Obodovski explores smart cities and the importance of problem-solving from city to city by using data correctly. But solutions aren’t always obvious, privacy continues to be a huge issue for citizens, and not every city prioritizes problems the same way. It’s a fascinating topic.Additional materials: www.superdatascience.com/311

 SDS 310: Trial by Fire | File Type: audio/mpeg | Duration: 415

Kirill and Mitja share thoughts on purposeful “trials by fire” in your life and how you can force yourself to grow through intended adversity.Additional materials: www.superdatascience.com/310

 SDS 309: Learning Through Competition | File Type: audio/mpeg | Duration: 3299

A conversation between rival online educators in the data science community about the challenges of creating a worldwide community with millions of students, the trends in data science, and how education can keep up to date.Additional materials: www.superdatascience.com/309

 SDS 308: Your Tribe | File Type: audio/mpeg | Duration: 646

A FiveMinuteFriday about the importance of belonging and how a connection to the larger community in the work that you do can be incredibly beneficial and meaningful for both your career and personal happiness.Additional materials: www.superdatascience.com/308

 SDS 307: Problem Solving Through Better Thinking | File Type: audio/mpeg | Duration: 2815

Kirill and Marc have a conversation that started as a quick FiveMinuteFriday discussion on thoughtfulness that turned into a full podcast worth of content on the power of thought, mindfulness, practice, and how even data scientists need to look past facts and information and follow their intuition. Additional materials: www.superdatascience.com/307

 SDS 306: Pura Vida | File Type: audio/mpeg | Duration: 414

The Costa Rican phrase "Pura Vida" is something very important to think about because it is incredibly beautiful, filled with emotion and it is so powerful. What meaning would this phrase have for you, in your life? Additional materials: www.superdatascience.com/306

 SDS 305: Using Data Visualization Tools | File Type: audio/mpeg | Duration: 3975

Jean-Pierre Labuschagne's career journey started in South Africa and moved to Europe, where he is bringing massive value with the power of data visualization. He is also teaching successful courses online after spending 2 years as a student of online courses himself.Additional materials: www.superdatascience.com/305

 SDS 304: The Law of Attraction | File Type: audio/mpeg | Duration: 635

Can you think of examples when the law of attraction worked in your life? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/304

 SDS 303: Proper Hypothesis Testing For Every Field | File Type: audio/mpeg | Duration: 4204

In this episode of the SuperDataScience Podcast, I chat with Astrophysicist and Online Data Science Instructor, Sam Hinton. You will hear about the Lindau Nobel Laureates meeting, where he met Nobel Prize winners and you will also hear about his appearance on the Survivor TV show. You will learn about quantum mechanics. You will also learn about the course he launched in Python for Statistical Analysis, as well as going in-depth on hypothesis testing. You will hear about Python versus R, statistical significance, why p-value of 0.5 is bad, Bayesian statistics, and what is the difference between frequentist and Bayesian approaches.If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/303

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