Build a Career in Data Science
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Build a Career in Data Science
Build a Career in Data Science teaches you what data science courses leave out: from how to land your first job to the lifecycle of a data science project and even how to become a manager. This is a true how-to on obtaining and then navigating a data science career--filled with real stories from dat...
Episodi recenti
22 episodi
Oops! We're Both Unemployed!!
This very surprise bonus episode was made after Emily and Jacqueline found themselves simultaneously unemployed. Here Emily will chat about being part...
Interlude: Data Science Subfields
In this special live episode recorded at PyLadies London, Emily and Jacqueline discuss those little subfields of data science like experimentation and...
Epilogue: So What Have We Learned?
In the final episode of Season 1, Emily and Jacqueline take a moment to reflect on all they've learned in writing a book and making a podcast about da...
Interlude: Managing Your Manager
In this special live episode recorded at the Data Science DC, Emily and Jacqueline talk about data scientists' relationships with their managers. They...
Chapter 16: Moving up the ladder
After you are a senior data scientist for a few years, what is next? In this episode Jacqueline and Emily talk about three possible career moves for s...
Chapter 15: Leaving Your Job Gracefully
"You can't fire me I quit!" --a great example of not leaving a job gracefully (but hey it happens!). In this week's episode Emily and Jacqueline discu...
Interlude: Help! My Job Search Isn't Working
In this special live episode recorded at the ODSC East conference, Emily and Jacqueline discuss what to think about it you can't seem to find that dat...
Chapter 14: Joining the Community
Social media, conferences, blogs, and meetups--there are many places where data scientists congregate outside of work. But how does a data scientist b...
Chapter 13: Data Science Failures
You're not a failure! The field of data science is overflowing with projects that just didn't work out. This episode we talk about these projects and...
Chapter 12: Stakeholders
Stakeholders! The people who data scientists help by creating analyses and models. Stakeholders have so many needs, and keeping them satisfied is one...
Chapter 11: Data Science in Production
Putting data science into production can mean a ton of things: from customer-facing models run millions of times a day to continuously live dashboards...
Chapter 10: Making an Analysis
An analysis is the work of taking data and turning it into a PowerPoint presentation (more or less), and in this episode we talk all about it. What ma...
Chapter 9: Starting a New Job
Welcome to your new data science role! You just started a new data science job, maybe your first one, and wow there is a lot to do! In this episode, w...
Season 1 Intermission!
Technically still just in time for the last of the holidays - a special bonus episode! Here we cover three small mini-topics. First, whether you shoul...
Chapter 8: Negotiating the Offer
Stop! Don’t just accept that coveted data science job offer right off the bat. Instead, listen to this episode where we discuss negotiating: what’s on...
Chapter 7: the Job Interview
The interview: possibly the most nerve-wracking part of a data science job search. In this episode, we’ll help you prepare by covering the full interv...
Chapter 6: Résumés and Cover Letters
“You only get one chance at a first impression.” When applying for data science jobs, that’s usually your resume (and sometimes a cover letter). So ho...
Chapter 5: the Job Search
Before you can get a data science job, you need to find one! In this episode, we discuss how to decode job descriptions, use your network, and find jo...
Chapter 4: Building a Portfolio
Perhaps the most common piece of advice for aspiring data scientists is to make a project portfolio. Despite this, so few data scientists do so! In th...
Chapter 3: Getting the Skills
It seems there are so many “required” skills for a data science job—how can someone possibly learn them? In this episode, we discuss four possible way...
Chapter 2: Data Science Companies
While the popular image of a data scientist is one solving cutting-edge problems at a large tech company, data scientists work in every type of organi...
Chapter 1: What is Data Science?
What actually *is* data science, and what does a data scientist do? What kind of backgrounds do data scientists come from and what skills do you need...