Data Chats Podcast
Alumni AMA (Ask Me Anything)

Alumni AMA (Ask Me Anything)

May 20, 2022

Do you have unanswered questions about any of the TDI bootcamps and what they might entail? Do you want to hear from real people who have been through our bootcamps and have them spill the details on what they really think?

Listen to our most recent alumni AMA (ask me anything) to get all the nitty-gritty! TDI's fantastic alumni have a candid discussion about their time here and chat about everything from the application, to the coding challenge, to how they aced their interviews and what happened once they graduated.

The Grammar of Data Visualization

The Grammar of Data Visualization

May 6, 2022
“The whole point of data visualization today is to see a large amount of data rapidly, but I think it also includes interaction. Modern data visualization lets people explore.” — Lee Feinberg
 
In this episode of Data Chats, Chris Richardson interviews Lee Feinberg, president at DecisionViz, a management consulting company specializing in data literacy and data visualization, also a certified Tableau software services partner.
 
They discuss:
  • How to alter data visualization approaches based on the audience
  • Why organizations should standardize simple data visualization elements like color
  • Why data doesn’t start with a conversation about software
  • What is wrong with using pie charts
Continued Learning
 
Data Science for Business Leaders 
This course teaches you how to partner with data professionals to uncover business value, make informed decisions and solve problems. Learn More
 
Business-Driven Data Analysis 
This course teaches a proven, repeatable approach that you can leverage across data projects and toolsets to deliver timely data analysis with actionable insights. Learn More
How to Become a Data-Guided Business

How to Become a Data-Guided Business

April 22, 2022
There is data and there is business. If we think of these in a concentric circles diagram, we often see them exist in their separate circles with some overlap. A data-guided business won’t be able to distinguish between data activities and business activities because it is embedded so closely together.
 
In this episode of Data Chats, Chris Richardson interviews Jason Foster, founder & CEO of Cynozure, host of the Hub & Spoken podcast, and co-author of Data Means Business: Level up your organisation to adapt, evolve and scale in an ever-changing world.
 
They discuss the process of becoming a data-guided business. And during the conversation, Jason explains the importance of
  • Capturing the data your business is creating
  • Identifying data signals
  • Utilizing the iterative approach to business-driven data analysis
  • Using collaboration as a way to create a data culture
Continued Learning Data Science for Business Leaders This course teaches you how to partner with data professionals to uncover business value, make informed decisions and solve problems. Learn More
 
Business-Driven Data Analysis This course teaches a proven, repeatable approach that you can leverage across data projects and toolsets to deliver timely data analysis with actionable insights. Learn More
Put Down the Pie Chart and Other Data Visualization Strategies

Put Down the Pie Chart and Other Data Visualization Strategies

April 8, 2022
“It's a mistake to think that creating information from data is easy.” - Jose Berengueres
 
In this episode of Data Chats, Chris Richardson interviews Jose Berengueres. He is an associate professor in design thinking, data visualization and computer science at the United Arab Emirates University. He is also the author of Data Viz and Sketch Thinking
 
They discuss
  • Why you should think beyond excel for creating graphs and charts
  • The importance of the DIKW pyramid (Data, Information, Knowledge and Wisdom)
  • How culture influences communication, specifically visualization decisions
  • The problems with pie charts and color decisions
Recommended Resources
Tableau on Twitter
Email: jose@uaeu.ac.ae to receive a free PDF copy of the book Data Viz.
** Write DATAVIZ in the subject line of the email
 
Continue Learning
Data Science for Business Leaders
This course teaches you how to partner with data professionals to uncover business value, make informed decisions and solve problems.
Learn More
Business-Driven Data Analysis
This course teaches a proven, repeatable approach that you can leverage across data projects and toolsets to deliver timely data analysis with actionable insights.
Learn More
Thinking about a data science career? Start here.

Thinking about a data science career? Start here.

March 25, 2022

This episode was recorded during our recent Data Webinar.

Have you ever asked yourself any of these questions: What is data science? What does a data scientist even do? What’s the best way to launch a data science career? Skip the vague google search and get the answers you’re looking for from The Data Incubator's data science instructor and Data Chats guest host Rich Ott, who’s been in your shoes before. Through this podcast, Rich discusses:

  • What data science means nowadays and what a data scientist really does
  • Which skills you should know before you start
  • What skills you’ll learn in the middle of your journey
  • How to break into the data science field and land an interview
  • What TDI brings to the table in all of this
How to Integrate Market Knowledge with Data-Driven Decision Making

How to Integrate Market Knowledge with Data-Driven Decision Making

March 11, 2022

Once you have data, it’s smooth sailing and straightforward decision-making, right? Not so fast. There are many ways data projects go wrong because data work requires human input and can have human errors.

In this episode of Data Chats, Chris Richardson interviews Ben Jones, founder & CEO of Data Literacy and author of Avoiding Data Pitfalls: How to Steer Clear of Common Blunders When Working With Data

They discuss:

  • The relationship between the human realm and the data-realm
  • Common data blunders and how to spot them
  • How to effectively layer qualitative and quantitative data
  • The gap between data and reality

Continued Learning
Data Science for Business Leaders This course teaches you how to partner with data professionals to uncover business value, make informed decisions and solve problems. Learn More
Business-Driven Data Analysis This course teaches a proven, repeatable approach that you can leverage across data projects and toolsets to deliver timely data analysis with actionable insights. Learn More
Other Recommended Resources
Thinking Fast and Slow
Mind in Motion: How Action Shapes Thought

How to Avoid an AI Project Failure

How to Avoid an AI Project Failure

February 25, 2022
When AI projects are successful, they provide enormous value through business insights. However, many AI projects fail—but why? In this episode of Data Chats, Chris Richardson interviews Harish Krishnamurthy about the mechanics of successful AI projects.
 
Harish Krishnamurthy is president at Sciata and has held leadership roles across P&L, sales, marketing and strategy during his tenure at IBM, Insight Enterprises and Spear Education.
They discuss:
  • Early mistakes when companies begin data projects
  • The ideal people to include on a data team
  • 5 Reasons why AI Projects Fail
  • Difference between AI projects and other data projects
 
Continued Learning
Data Science for Business Leaders
This course teaches you how to partner with data professionals to uncover business value, make informed decisions and solve problems.
Learn More
 
Business-Driven Data Analysis
This course teaches a proven, repeatable approach that you can leverage across data projects and toolsets to deliver timely data analysis with actionable insights.
Learn More
 
 
 
Overcoming Imposter Syndrome in Data Science

Overcoming Imposter Syndrome in Data Science

February 11, 2022

This podcast was captured from a recent TDI webinar.

Everyone has it, no one thinks others have it and it seems like no one talks about it. What is it? Imposter syndrome.

The Data Incubator is committed to teaching the skills data professionals need to excel in their field, but that doesn’t end with just the technical skills. We teach students how to have confidence in all that they do and help them gain the personal tools to combat things like imposter syndrome.

Listen in to an all-star group of panelists as they talk about what imposter syndrome means, how to overcome the self-doubt it brings and some key tips in keeping those feelings at bay.

The Communication Skills Needed to Improve Data Projects

The Communication Skills Needed to Improve Data Projects

January 28, 2022
How can product professionals communicate better with data teams? How do data teams make sure they are answering the right questions for product teams?
 
Most organizations want to be more data-informed and data-driven, but communication is often the first hurdle to success. In this episode of Data Chats, host Chris Richardson interviews Kevin Hanegan, chief learning officer at Qlick, who shares practical strategies for communicating insights to stakeholders at all levels in the organization.Kevin discusses
  • The value of systems thinking
  • How to start small to gain momentum
  • Ways to influence company culture when you’re not the CEO
  • Reflecting on bias and flawed mental models
Connect with Kevin and find his book Turning Data Into Wisdom at kevinhanegan.com
 
Kevin is also chair of the advisory board of the Data Literacy Project
 
Learn how to translate data insights into business strategy in the course: Data Science for Business Leaders.
 
This course shows you how to partner with data professionals to uncover business value, make informed decisions and solve problems.
How Product Teams Should Tackle Responsible AI

How Product Teams Should Tackle Responsible AI

January 7, 2022

Guest host Michael Lithe founder and president of The Data Incubatorsits down with Aishwarya Srinivasan, an Artificial Intelligence and Machine Learning Innovation Leader at IBM. Aishwarya works cross-functionally with the product team, data science team and sales to research AI use cases for clients at IBM Data & AI. In her role, she conducts discovery workshops and builds assets to showcase the business value of the technology. Aishwarya holds a postgraduate degree in data science from Columbia University.

The two data science experts discuss the importance of building responsible AI systems that aren't harmful to society, citing examples in the media. Aishwarya shares the responsibilities of roles like AI ethicists, UX researchers, data scientists and cybersecurity officers in upholding responsible AI standards. She also highlights the key issues organizations will have to grapple with as AI continues to evolve, and she shares key takeaways for leveraging machine learning and AI to create business value. Find links to resources shared in this episode:

How to be Proactive in Implementing Data Standards

How to be Proactive in Implementing Data Standards

December 10, 2021

The opportunity is the data; the challenge is the data. Everyone agrees that data is incredibly important, but how do you convert data into a usable resource?

During this conversation, the host Chris Richardson, senior instructional designer at Pragmatic Institute, interviews Verl Allen, the CEO of Claravine, who explains the importance of implementing data standards to prevent data quality problems.

Successful data projects require an organization-wide buy-in, so Verl describes how to craft teams that can collaborate. He also talks about the future of data, specifically the role of privacy and what businesses can do to be proactive in staying

TDI Alumni Stories: Peter Yu

TDI Alumni Stories: Peter Yu

November 19, 2021

Get a behind the scenes look at how leading data scientists land their dream roles and how their journey can lead to unexpected but interesting outcomes. Our host and data science guru Michael Li chats with TDI alumni Peter Yu about his data path, what led him to data science and what he learned along the way from being a 2015 graduate to working for McKinsey & Company to landing his dream job at Amazon Web Services (AWS).