Data Chats Podcast

Data Science Bootcamp Cost & Financing 101

This episode is from our recent webinar >> watch the webinar

Are you worried about making a career transition in the forecasted recession? Concerned about ending up in a field where layoffs could happen at any time?

Data isn't going away, in fact, it's growing... so there's never been a better time to get into data science and data engineering for job security! We know that affordability is a major concern for everyone, but fear not, at The Data Incubator, we care about what you care about.

In this data science bootcamp financing 101 webinar, you'll learn the details of each option we offer and how they're built to suit every individual's needs.

You'll learn:

• What an ISA is and whether it's right for you
• The difference between a contingent payment plan and a tuition installment plan
• What sort of flexible loan options we offer
• How to get your employer to pay for you to attend
• What scholarships we have available
• And how you can stand out above the rest and get into our program for free - yes, we said free!

You won't want to miss this crash course in financing! And to learn more about our data science bootcamp pricing.

Lost in Translation: Overcoming Communication Barriers Between Data and Business Teams

“Data helps businesses understand their customers more, sell to them more and give them more relevant communications when they want to talk to them. It allows them to develop that relationship and to become that customer’s first choice.”
-      Natasha Joslin

 

Sometimes, it feels like data teams are talking a different language than their counterparts. No matter how robust the data, insights often seem to fall onto deaf ears.

 

In this episode of Data Chats, Chris Richardson talks with Natasha Joslin, co-founder of Mojo, a data agency that helps businesses use their data to impact growth. They discuss how businesses need to bridge the gap between data teams, tech teams and business teams in order to get value from their data. Here are a few points they cover:

• Have a common language when discussing customer metrics or product definitions so that insight can be gained more easily.
• Leveraging data can mean different things depending on the context, such as customer research or web tracking.
• Data should be presented in terms of stories and insights that are relevant to the business plan.
• Good data governance practices democratize data so that everyone can use it without needing a computer science degree.

Just having data isn’t enough. If you want to learn how to use your data to make an impact, be sure to check out this episode.

 

Continue Learning | Data Science for Business Leaders
Learn how to partner with data professionals to uncover business value, make informed decisions and solve problems.

Data Visualizations Could Be the Difference Between Your Data Insights Getting Heard or Ignored

“What really helps is if you just have one main goal for the [data] project. Know who your audience is and what your success criteria is. That's really going to put you head and shoulders ahead of everybody else, and it's going to make the project so painless. And then I can just dive into the insights and be showing you a lot of cool ideas.”

 

-Alli Torban

 

In the world of data analysis, the ability to effectively communicate your insights to stakeholders can be the difference between your ideas being heard or being ignored. Fortunately, there's a powerful tool that can help: data visualizations.In this episode of Data Chats, host Chris Richardson delves into this topic with data viz designer and podcast host Alli Torban.

 

As the founder of her own data design studio in Washington, D.C., Alli is a recognized expert in the field of data visualizations. She has shared her insights on stages big and small, and has been recognized with the Impactful Community Leader award from the Data Visualization Society.In this episode, Alli and Chris discuss a range of topics including:

• tools that can help you create effective visualizations
• how to measure success in this field
• what it's like to work with clients as a data visualization consultant
• how data practitioners can bring more creativity into their lives and work.

If you're looking to take your data analysis to the next level, be sure to listen in to this informative and engaging episode. With Alli's expert insights, you'll gain a deeper understanding of the power of data visualizations, and how they can help you to communicate your insights with greater impact.

 

Continue Learning | Business-Driven Data Analysis
Move beyond the spreadsheet, deliver actionable findings, and ensure alignment with stakeholders

Bridging the Great Divide Between Data Teams and Business Leaders with Jeremy Adamson

“They want to understand what's happening. They want a very clear connection between the model that you're doing and the business outcome. They want to know that you've considered all of the operational risks with what you're doing, that you understand the business, that you understand their motivations and their pain points.

 

All of that stuff is much more important to stakeholders than if you used TensorFlow or a neural net.”-Jeremy Adamson

 

In this episode of Data Chats, we have a Q&A with Jeremy Adamson, author of Minding the Machines.

 

Jeremy Adamson is a leader in AI and analytics strategy across industries. He has worked with major organizations to establish leadership positions in data science and to unlock real business value using advanced analytics.

 

During this episode, Jeremy and Chris discuss:

• Positioning your analytics unit within your organization
• Integrating analytics insights into business conversations in a meaningful way
• Challenges business leaders face when working with data teams
• Effective ways to put together data and analytics teams

Don't miss this opportunity to learn from an expert in the field of data and analytics!

 

Continue Learning | Data Science for Business Leaders
Data Science for Business Leaders shows you how to partner with data professionals to uncover business value, make informed decisions and solve problems.

Data Science Ethics: What it Means and Why it Matters

This session features The Data Incubator instructor Ana Hocevar, who discusses what data ethics means and why it matters.

 

Nowadays, data is used to deliver insights and drive business decisions, but while that can improve revenue, reduce costs, create new opportunities, identify new ideas, improve customer experience and more, using data comes with responsibilities and ethical challenges.

 

In this webinar, Ana will discuss:

• What moral obligations data ethics encompasses, and why every analyst and data scientist should care
• Principles of data ethics together with best practices
• How data ethics relates to the use of machine-learning algorithms

Data Science in Action: Insights from a Leading Textbook Author and Case Studies

“We also wanted to use the textbook to talk about important social issues [like] why do men make more than women? And so, one case study is about understanding the gender gap in the US and why is there a 15, 20% difference in earnings.”
- Gábor Békés

 

In this episode of Data Chats, Chris Richardson interviews Gábor Békés, author of Data Analysis: For Business, Economics, and Policy. Békés is an Assistant Professor at the Department of Economics and Business of Central European University. He is also a senior research fellow at the KRTK Institute of Economics in Hungary.

 

They discuss:

• Detailed process of data analysis
• The most important methods, tools, and skills for future data analysts
• Real life case-studies included in the book
• Implications of data analysis on public policy
• Humility required for the data interpretation process

Take Your Data Skills to the Next Level with 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

Organizational Changes to Improve Machine Learning Success at Your Company

“Even if you don't drink one bit of the A.I. Kool-Aid and you're a senior expert practitioner in machine learning, when you're trying to start a new initiative at your corporation, you're still very liable to make this extremely prevalent mistake that leads to a lack of deployment. And the mistake is that we all, on some level, are fetishizing the technology.”
-      Eric Siegel

 

In this episode of Data Chats, Chris Richardson interviews Eric Siegel, Ph.D., leading consultant and former Columbia University professor who makes machine learning understandable and captivating. He is also the founder of the Predictive Analytics World and Deep Learning World conference series, which has served more than 17,000 attendees since 2009.They discuss:

• How to use A.I. to improve your organization’s capabilities and performance
• Common mistakes business leaders make with understanding machine learning
• Why top data scientists fail to make successful models most of the time
• How operational changes lead to improved data analysis
• What separates a great organization from the rest when it comes to predictive analytics
• Necessity of socialization and buy-in to successfully implement predictive analysis 
• Ethical implications and risks of machine learning

Continue Learning | Data Science for Business Leaders
Data Science for Business Leaders shows you how to partner with data professionals to uncover business value, make informed decisions and solve problems.
Learn More

Why Data is a Business Asset and How to Measure Its Value

“I encourage clients to do more automation, diagnostic, predictive or prescriptive work with their data. That's where the real value happens. Not in looking backward at lagging indicators.” - Douglas Laney

 

In this episode of Data Chats, Chris Richardson interviews Douglas Laney, author of Data Juice: 101 Stories of How Organizations Are Squeezing Value from Available Data Assets. Douglas is also an innovation fellow at West Monroe.

 

They discuss:

• How to generate economic value from data
• Why you should treat data like a business asset
• How to assess the value of data owned by your company
• What is inverted data monetization
• Thinking through the ethical considerations, legal aspects and unintended consequences of selling and using data before taking action
• Why we need more data managers and not just data analysts
• How to measure the financial value and business value of data

Take Your Data Skills to the Next Level with 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

GoDaddy’s Senior Data Scientist on Evaluating Customer Lifetime Value

This episode is from our latest Product Chat webinar >> watch the webinar

Customer life value (CLV) is a key indicator for businesses to better understand long-term and financial viability. A high CLV translates into brand loyalty, increases in sales and recurring revenue from existing customers. So how do you determine the customer lifecycle in your organization to improve interaction?

Learn strategies to evaluate and grow customer lifecycle value with Zach King, senior data scientist at GoDaddy. Zach will go in-depth on the importance of customer lifetime value, showcasing a framework to visually understand customer performance and drive long-term success.

Ethics and Data with Kristen Martin

“Businesses in the long term and people in the long term are better off strategically if they act in a way that people can trust,” — Kirsten Martin

In this episode of Data Chats, Chris Richardson interviews Kirsten Martin about how to approach data from an ethical lens.

Kirsten is the William P. and Hazel B. White Center Professor of Technology Ethics and a professor of IT, analytics, and operations in the Mendoza College of Business at the University of Notre Dame. Her new book is called Ethics of Data and Analytics and she is also the host of Tec Talks, a podcast about the impact of technology on humanity.

They discuss:

• Where to find the latest information on ethics in data
• How to integrate ethics into business decisions involving data
• Future trends for regulation
• New ethical questions that data is provoking
• The questions data professionals can ask to help improve data projects and ensure the work is ethical

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 AnalysisThis 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 Organizations Can Better leverage Data by Focusing on Structure and Scalability

“If something takes longer to automate than to actually do it then don't automate it. Because that's something that we see happening a lot, that analysis that happens maybe once every quarter gets automated. There's no point in that.” — Marco Szeidenleder

 

In this episode of Data Chats, host Chris Richardson interviews Marco Szeidenleder, managing partner at Pandata GmbH about the early stages of data projects and the importance of building a strong foundation for scalability.

 

They discuss:

• How to identify quality and trustworthy data consultants
• Looking for compatibility when deciding whether or not to switch databases or tools
• Leveraging data dashboards effectively with stories
• Why building data structures is an iterative process
• How to avoid wasting resources on data projects
• Businesses that benefit the most from machine learning

Continue Learning | Data Science for Business Leaders
Data Science for Business Leaders shows you how to partner with data professionals to uncover business value, make informed decisions and solve problems.
Understand how business leaders and data practitioners contribute at each stage of data projects to drive results that have real impact on your organization
Learn More

How to Craft a Standout Tech Resume

Looking to spruce up your resume and stand out in the STEM field?

 

This episode features our elite resume writing service, RiseSmart, to discuss the tips and tricks on writing a killer resume to get you noticed for your first or next data job. RiseSmart will review the key competencies you want to have before applying and how to make them pop on a resume. You will also learn how written branding materials open doors and help individuals.

 

This episode also covers how to:

• Get market-ready faster
• Generate more interview invitations
• Establish a competitive advantage
• Project an image as a good fit for target companies
• Shorten job searches
• Produce better job offers
• Receive higher starting salaries

About our Partner:
Randstand RiseSmart
We empower organizations globally to excel by helping them unleash work-life possibilities for every employee throughout their employment journey.
RiseSmart was founded in response to rapid workforce changes, talent mobility challenges, and the absolute necessity for companies to establish stellar employer brands.
Since then, we have addressed the needs of organizations and their employees with innovations and a contemporary approach to career development and talent mobility.
Through Randstad, our parent company, Randstad RiseSmart has expanded its offerings to more than 100 countries and 40 industries.
We are now one of the world’s leading coaching and career transition firms.