Lights On Data Show

Data scientist, statistician, podcaster, and an ARTIST of data science. Join us for this live Q&A episode with a thought leader in the data science space, Harpreet Sahota. If you've joined any of his open office hours for data science you will understand why he's such a valued mentor of over 2,500 up-and-coming data scientists. Harpreet is a data science unicorn with strong business acumen, statistical background, modelling capabilities, data engineering, and machine learning engineering know-hows. His knowledge of these topics and passion for data are showcased at every step. As the host of the Artists of Data Science podcast he's putting the most interesting topics into focus and continuously gives back to the data community.

Nate Nichols, Chief Scientist, and Cassidy Shield, VP of NarrativeScience will address: - how to overcome data storytelling challenges - the impediments of bringing data to people - how to create a narrative to drive action Tune in to learn from these two experts.

The human side of data is a crucial side that is sometimes overlooked. How can we better work with each other and with data? What should we know about the process of listening actively to what people say and don’t say, how body language factors in the velocity of a data team, how non-verbal communication can work well in remote teams, and how this ties in to design-thinking, evolutionary architectures, and shorter time to value. Plus, what's the connection between yoga and data?! Join us on this insightful session with Loris Marini, the founder and host of the Data Project. After exploring the world of quantum mechanics he stumbled into data science. As it turned out, data was fragmented and unreliable, so most of his work was on data architecture and data engineering. Today he helps organisations manage and use their data to protect and grow their most important relationships.

What's the missing link in your data program? Tom Redman, the Data Doc, returns to our show to share the results of a long-time research program that should fundamentally change how companies manage data and put it to work.

Do you want to understand how to create and implement a value driven data strategy? Then join us on this episode with Samir Sharma, CEO & Founder of datazuum.

Data literacy is the ability to read, understand, create, and communicate data as information. In this show we will be joined by the founder & CEO of DataLiteracy.com, Ben Jones, as we'll address this topic and see how we can all grow in data literacy.

Let's talk about data storytelling, its importance and best practices with world renowned Kate Strachnyi.

Do you want to learn more about advanced analytics applications on imaging? Then you shouldn't miss this episode of Lights On Data Show. The applications and benefits are plenty. It can cover anything from satellite to pathogens, such as: - urban planning - disease detection - commercial assessment - medical diagnostic - economic forecasting Join us and Dawn Holl, Executive VP at Reveal Global Consulting, as we go over practical examples and uses cases of using advanced analytics on imaging, including how AI can be applied to satellite or even nanoscopic images to yield new actionable insights into complex challenges.

We are joined by these amazing Data Scientists: Danny Ma, Joe Reis, Koo Ping Shung, and David Langer as we'll talk about all things data science. David Langer: Founder of Dave on Data and TDWI data analytics instructor Koo Ping Shung: AI & Analytics Instructor, LinkedIn Top Voices 2020, Co-Founder of AI Professionals Association, and Data Science Rex Joe Reis: Adjunct Professor at University of Utah, and CEO of Ternary Data Danny Ma: Founder & CEO of Sydney Data Science, and Data with Danny

We're joined by Thom Ives, Ph.D., data scientist extraordinaire, with an extensive experience in engineering, data science, machine learning and AI and much more. We'll talk about his journey, the many uses and value of Python, and of course plenty of recommendations for anyone looking to build their career in data science.