47 min
Making the Shift from Data Scientist to Datapreneur Value Driven Data Science
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- Technology
Genevieve Hayes Consulting
Episode 33: Making the Shift from Data Scientist to Datapreneur
Data science is among the most in-demand skills of the 21st century, with opportunities existing for data scientists to make a difference and earn good money as an employee in a range of industries. Yet there has also never been a better time to be a data science entrepreneur (or datapreneur).But for data scientists who have never experienced the entrepreneurial life and who are used to the security of a steady pay check, making the transition from employee to entrepreneur may seem like an impossible leap, regardless of how desirable it may seem.In this episode, David Shriner-Cahn joins Dr Genevieve Hayes to discuss how data scientists can escape the corporate world and make the transition from employee to datapreneur.
Guest Bio
David Shriner-Cahn is the podcast host and community builder behind Smashing the Plateau, an online platform offering resources, accountability, and camaraderie to high-performing professionals who are making the leap from the corporate career track to entrepreneurial business ownership.
Talking Points
How entrepreneurship differs from being a regular employee, particularly with regard to mindset.The advantages and disadvantages of each way of making a living.Making the transition from employment to entrepreneurship and how to gauge if entrepreneurship is right for you.Building your network as an entrepreneur.How taking a sabbatical can help ease the transition between being an employee and an entrepreneur.The value of community.
Links
Smashing the Plateau
Connect with Genevieve on LinkedInValue Driven Data Science has recently featured in Feedspot’s list of the 4 Best Australian Data Science Podcasts. You can be among the first to hear about the release of each new podcast episode by signing up HERE
The post Episode 33: Making the Shift from Data Scientist to Datapreneur first appeared on Genevieve Hayes Consulting and is written by Dr Genevieve Hayes.
Genevieve Hayes Consulting
Episode 33: Making the Shift from Data Scientist to Datapreneur
Data science is among the most in-demand skills of the 21st century, with opportunities existing for data scientists to make a difference and earn good money as an employee in a range of industries. Yet there has also never been a better time to be a data science entrepreneur (or datapreneur).But for data scientists who have never experienced the entrepreneurial life and who are used to the security of a steady pay check, making the transition from employee to entrepreneur may seem like an impossible leap, regardless of how desirable it may seem.In this episode, David Shriner-Cahn joins Dr Genevieve Hayes to discuss how data scientists can escape the corporate world and make the transition from employee to datapreneur.
Guest Bio
David Shriner-Cahn is the podcast host and community builder behind Smashing the Plateau, an online platform offering resources, accountability, and camaraderie to high-performing professionals who are making the leap from the corporate career track to entrepreneurial business ownership.
Talking Points
How entrepreneurship differs from being a regular employee, particularly with regard to mindset.The advantages and disadvantages of each way of making a living.Making the transition from employment to entrepreneurship and how to gauge if entrepreneurship is right for you.Building your network as an entrepreneur.How taking a sabbatical can help ease the transition between being an employee and an entrepreneur.The value of community.
Links
Smashing the Plateau
Connect with Genevieve on LinkedInValue Driven Data Science has recently featured in Feedspot’s list of the 4 Best Australian Data Science Podcasts. You can be among the first to hear about the release of each new podcast episode by signing up HERE
The post Episode 33: Making the Shift from Data Scientist to Datapreneur first appeared on Genevieve Hayes Consulting and is written by Dr Genevieve Hayes.
47 min