Synopsis
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.
Episodes
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093: Why Evolutionary Programming Machine Learning is Important
04/10/2017 Duration: 53minIn this episode of the SuperDataScience Podcast, I chat with Data Scientist at Liquid Biosciences, Beau Walker. You will get a deeper understanding of Evolutionary Programming-Based Machine Learning, you will learn about patents and trade secrets, and hear how Beau went through all his different careers & what choices he made down his career path. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/93
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092: Exponential Thinking
29/09/2017 Duration: 14minWhat exponential trends would you like to recognize and leverage for yourself? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/92
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091: Lessons From a Successful Career in Data Visualization
27/09/2017 Duration: 55minIn this episode of the SuperDataScience Podcast, I chat with the Head Coach at The Information Lab, Andy Kriebel. You will learn how to maintain a Data Viz Blog, how to be a Tableau Zen Master and hear about how discovering Tableau at Coca-Cola changed Andy's career trajectory. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/91
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090: Do What You Want
22/09/2017 Duration: 20minWhat are those things that you do because you want to do them and what are those that you do just for anything else? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/90
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089: Using Excel in Data Science and Life-Long Learning
20/09/2017 Duration: 59minIn this episode of the SuperDataScience Podcast, I chat with the Best Selling Data Science Instructor, Chris Dutton. You will learn about Excel's role in Data Science, get more insights about choosing what to learn in Data Science, and the modeling luck in a baseball hitter's batting average. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/89
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088: Fermi Questions
15/09/2017 Duration: 09minHave you ever encountered being asked with Fermi Questions? What was your strategy in getting through the logic then? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/88
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087: Business Intelligence – The Role of Data Visualization
13/09/2017 Duration: 58minIn this episode of the SuperDataScience Podcast, I chat with Tableau and Qlik Intrapreneur, Deepak Prasad. You will hear about Business Intelligence, particularly in business decision-making through data insights, learn about dashboard design best practices, and answering questions through interactive dashboards. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/87
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086: Computer Vision
08/09/2017 Duration: 09minWhat makes you excited about the impact of computer vision? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/86
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085: The AI Revolution – What the Future Will Look Like
06/09/2017 Duration: 01h08minIn this episode of the SuperDataScience Podcast, I chat with the Chief Data Officer at Ziff, Ben Taylor. You will hear about the future of AI & what the world could look like in future, learn about the different approaches to Deep Learning revolution, and also get to know the consequences of the oncoming AI developments. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/85
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084: Why I Became Vegetarian
01/09/2017 Duration: 12minWhat do you think are the other essential reasons why some people choose to be vegetarian? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/84
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083: Leveraging Your Experience into Data Science
30/08/2017 Duration: 51minIn this episode of the SuperDataScience Podcast, I chat with the Head of Centre of Excellence and Customer Advocacy at The Information Lab, Emma Whyte. You will hear what a data-driven corporate culture looks like, understand the importance of having a data-driven culture and how to win stakeholders over, you will also learn about how Emma transitioned from a non-technical background to the world of Data Science, and how she is helping businesses now to make strategic data-driven decisions. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/83
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082: Data Science Go
25/08/2017 Duration: 04minHow do you think you can benefit from attending Data Science Go? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/82
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081: Data Visualization & How to Freelance Your Passion
23/08/2017 Duration: 01h17sIn this episode of the SuperDataScience Podcast, I chat with Data Visualisation Designer, Nadieh Bremer. You will hear about the relationship between algorithm and visualization, learn the top data visualization tips, and ways of creating presentable visualizations and how to present them. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/81
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080: Your Questions
19/08/2017 Duration: 04minWhat is one question you would really like to ask a podcast guest? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/80
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079: Reinforcement Learning - What You Need to Know
16/08/2017 Duration: 56minIn this episode of the SuperDataScience Podcast, I chat with Associate Professor of Reinforcement Learning, Ravindran Balaraman. You will listen to an overview of Reinforcement Learning, learn about Prescriptive Analytics and some examples of Reinforcement Learning Applications, and you will also hear how to get started in Reinforcement Learning. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/79
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078: Breaking Patterns
11/08/2017 Duration: 07minWhat are the habits in your life that you would like to keep and those that you would like to break? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/78
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077: Finding the Right Data Science Company That Best Fits You
09/08/2017 Duration: 01h06minIn this episode of the SuperDataScience Podcast, I chat with the Data Science and Analytics Headhunter, Richard Downes. You will learn the different CV practices, know the ways to leverage LinkedIn, and get valuable tips on how to prepare and answer tough interview questions. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/77
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076: Do It For Yourself
04/08/2017 Duration: 07minHow do the outcomes differ between doing big actions or challenging things for yourself, and doing these for other reasons? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/76
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075: How to Re-Focus Your Career & Become an Entry Level Data Scientist
02/08/2017 Duration: 54minIn this episode of the SuperDataScience Podcast, I chat with the Data Visualisation Consultant at The Information Lab, Rachel Phang. You will get to explore the data school at The Information Lab, you will know the importance of diverse backgrounds for Data Scientists, and you will be able to learn ways how to improve your data visualization skills. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/75
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074: The Five Balls of Life
28/07/2017 Duration: 04minHow can you relate your work as a rubber ball, and how can you further give importance to those 4 other glass balls? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/74