Data Chats Podcast

[Charles Wheelan Author of Naked Statistics] Why Data Projects Should Start with “Why”

“I don't love statistics. I don't love economics. I love what economics and statistics can do for me.” - Charles Wheelan

In this episode of Data Chats, Chris Richardson interviews Charles Wheelan, senior lecturer and policy fellow at the Rockefeller Center at Dartmouth College and author of several books, including Naked Statistics, Naked Economics and Naked Money.

 

They discuss:

• How to approach complicated topics like data and statistics when that’s not your area of expertise
• Examples of organizations using data brilliantly and examples of why data might fail
• Why persistence and investment are needed for successful quality data collection
• Why do we have to approach metrics cautiously to prevent distortion

Find all of Charles resources at https://charleswheelan.com/

 

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 Earn a Full-Tuition Scholarship to Attend TDI

Are you worried about the next step in your data career? Or whether or not you can afford what you want in a data bootcamp?

 

What if we told you that you can attend The Data Incubator's Fellowship programs for free? Yes, we said free!

 

We offer full-tuition scholarships to the best and brightest that apply to our programs - and the best news is, this episode is dedicated to telling you how to earn that free spot and attend our world-class bootcamp for exactly zero dollars. (we're not kidding, pay nothing, no strings!) Instructor Robert Schroll will be going over:

1. The best ways to make your application stand out
2. How to prepare for the program before you even apply 
3. The tips and tricks you'll need to earn one of those limited free spots.

Apply before the July 29th Deadline: https://www.thedataincubator.com/apply/

Empowering Collaboration Between Data Practitioners and Product Managers

As data practitioners and product managers strive to gain actionable insights with the data at hand, it’s important for both roles to work collaboratively.

 

In this webinar hosted by Pragmatic’s Director of Community Georgina Donahue, discover:

• The intersection between data science and product management
• How data can be better integrated into the product development cycle
• Decision making models based on insights from data practitioners
• How to create strong partnerships between data practitioners and product managers

Pragmatic Institute’s data practice helps organizations leverage data to drive business success through practical, high-impact training. We provide individuals and teams with actionable guidance, hands-on practice and a business-oriented approach so they can solve problems and propel decision making with data. Pragmatic Institute builds expertise within data teams and stronger collaboration with their stakeholders. Explore courses such as Business-Driven Data Analysis and Data Science for Business Leaders.

AMA with Michael Li

Ever pondered a random data science fact? Been intrigued by data bootcamps? Wanted to know how to get hired in data science? Or what skills you must have to start? Maybe you're dying to know more about TDI?

Wonder no more! All your burning questions about data and TDI are answered in our most recent ask me anything with TDI Founder Michael Li.

Have a question that didn't get answered? Pop us an email at admissions@thedataincubator.com and we'll make sure Michael answers it next time. Don't hold back - we want to hear all your serious, wacky or challenging questions that you can't get answered anywhere else.

How AI Can Support Healthcare and Improve Lives

“It is game-changing technology, and we’re excited to bring that to market” - Awais Bajwa

 

In this episode of Data Chats, Chris Richardson interviews Awais Bajwa founder and CEO of Ophthalytics, an applied artificial intelligence company specializing in Artificial Intelligence-based medical diagnostics.

 

His company is using AI to help detect diabetic retinopathy, which affects millions of people globally. And nearly 1 million people will experience blindness because of the disease each year. More importantly, there aren’t enough retina specialists who can diagnose patients and establish a treatment plan for them.

 

Using AI, his company is helping primary care physicians and diabetic centers detect the disease.

 

They discuss:

• Where Awais sources the data for his company and ensures its accuracy
• How he finds valuable feedback that informs its development
• Ways to approach the architectural side of data

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

Alumni AMA (Ask Me Anything)

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 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

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

“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.

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

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

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

Additional Resources:
Harish has created a library of resources to help data professionals begin leveraging AI effectively in their businesses:
Making the Leap from AI Investments to Business Results
Aligning IT and Business Strategy for Project Success
Using AI to Maximize Customer Lifetime Value
Transforming AI Insights into Actions
Designing AI Models to Extract Insights

 

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