Chapter 4: Building a Portfolio

Build a Career in Data Science

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اضافه شده در five سال پیش

محتوای ارائه شده توسط Jacqueline Nolis and Emily Robinson, Jacqueline Nolis, and Emily Robinson. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Jacqueline Nolis and Emily Robinson, Jacqueline Nolis, and Emily Robinson یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

The Vanished

1
Fifth Avenue: The Last Walk of Dorothy Arnold 6:43

28 روز پیش6:43

پخش در آینده

لیست ها

پسندیدن

دوست داشته شد

6:43

In 1910, Dorothy Arnold—a wealthy, educated socialite from New York City—left her home for a shopping trip and never returned.

۵ سال پیش 55:18

MP3•خانه قسمت

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 this episode, we discuss what exactly a portfolio is, the benefits, and the common reasons people don’t do it and how to overcome them. Spoiler: it's just as much psychological as it is about time and skills.

22 قسمت

#Careers #Business #Jacqueline Nolis and Emily Robinson #Emily Robinson #Jacqueline Nolis

Chapter 4: Building a Portfolio

Build a Career in Data Science

40 subscribers

published ۵ سال پیش

اشتراک گذاری

MP3•خانه قسمت

22 قسمت

#Careers #Business #Jacqueline Nolis and Emily Robinson #Emily Robinson #Jacqueline Nolis

Tüm bölümler

1
Oops! We're Both Unemployed!! 1:00:49

۳ years پیش1:00:49

1:00:49

This very surprise bonus episode was made after Emily and Jacqueline found themselves simultaneously unemployed. Here Emily will chat about being part of a 15% company-wide labor reduction while Jacqueline walks through the steps she's been doing as she interviews with new companies. Join them for some vulnerable conversation that are relevant to this current wave of layoffs.…

1
Interlude: Data Science Subfields 54:49

۴ years پیش54:49

54:49

In this special live episode recorded at PyLadies London, Emily and Jacqueline discuss those little subfields of data science like experimentation and fraud. They ponder the benefits of becoming more specialized in your career and how different fields have different cultures. The episode ends with a Q&A using live audience questions!…

1
Epilogue: So What Have We Learned? 38:05

۴ years پیش38:05

38:05

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 data science careers.

1
Interlude: Managing Your Manager 52:18

۴ years پیش52:18

52:18

In this special live episode recorded at the Data Science DC, Emily and Jacqueline talk about data scientists' relationships with their managers. They discuss how you should communicate with your manager, how much you should be doing what your manager asks vs what you think is best for the company, and other topics. Several times in the episode Jacqueline and Emily disagree, adding drama and intrigue.…

1
Chapter 16: Moving up the ladder 1:03:52

۴ years پیش1:03:52

1:03:52

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 seasoned data scientists: becoming a manager, a technical lead, or an independent consultant. They discuss the pros and cons of the different types of jobs and strategies for getting into those roles.…

1
Chapter 15: Leaving Your Job Gracefully 56:05

۴ years پیش56:05

56:05

"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 discuss how to decide when the right moment is for you to leave a job, and what steps you should take. They also talk about the realities of the situation, like managers who don't seem to listen when you discuss why you are unhappy, walking out of job, and getting a last minute counter offer.…

1
Interlude: Help! My Job Search Isn't Working 37:11

۴ years پیش37:11

37:11

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 data science job you want. They talk about the different reasons why job hunts don't work, what you can do about it, and answer listener questions from the audience.…

1
Chapter 14: Joining the Community 1:01:56

۴ years پیش1:01:56

1:01:56

Social media, conferences, blogs, and meetups--there are many places where data scientists congregate outside of work. But how does a data scientist become a part of these communities and contribute? In this episode Jacqueline and Emily discuss speaking at conferences, awkwardly attending your first meetup, and many other moments that can happen when a data scientist starts to join the community.…

1
Chapter 13: Data Science Failures 1:06:00

۴ years پیش1:06:00

1:06:00

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 why they fail. We also discuss how to handle them emotionally even though it might feel like you're solely responsible. In the game, Emily makes Jacqueline try and discern true stories of data science mistakes from her twisted deceptions.…

1
Chapter 12: Stakeholders 55:16

۴ years پیش55:16

55:16

Stakeholders! The people who data scientists help by creating analyses and models. Stakeholders have so many needs, and keeping them satisfied is one of the most important parts of being a successful data scientist. In this episode Jacqueline and Emily discuss how to make your stakeholders happy with good communication and empathy.…

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Chapter 11: Data Science in Production 49:05

۴ years پیش49:05

49:05

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 for stakeholders. But writing code for production and getting it to work can be intimidating for many data scientists, and lots of us have never tried. In this episode we talk about production, why it can be scary, and what you can do to get started! We also have a game that just might rip off a much more popular TV show.…

1
Chapter 10: Making an Analysis 1:05:51

۴ years پیش1:05:51

1:05:51

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 makes an analysis sharp, how to sell data stories to stakeholders, and the useful tool of an "analysis plan" are all discussed. The episode ends with Emily giving Jacqueline an analysis game that tangentially relates to puppies.…

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Chapter 9: Starting a New Job 48:47

۴ years پیش48:47

48:47

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, we cover what to expect in the first few months of the job and what to do if it’s not what you hoped. We also discuss how to handle the inevitable heartbreak as you find technical skeletons in the closet like production databases that are just csv files on a SharePoint.…

۵ years پیش55:18

55:18

Build a Career in Data Science

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Chapter 3: Getting the Skills 58:18

۵ years پیش58:18

58:18

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 ways to do so: a formal degree program, a boot camp, learning on the job, and teaching yourself. We also share our own very different backgrounds: Jacqueline's math master's and engineering PhD versus Emily's statistics minor, master's in organizational behavior, and a boot camp.…

Build a Career in Data Science

1
Chapter 2: Data Science Companies 58:52

۵ years پیش58:52

58:52

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 organization. In this episode, we talk through five company archetypes, from small start-ups to government contractors to traditional retail companies. We weigh the pros and cons of working at each and debate the career changing question of: "should you be a company's first data scientist?"…

Build a Career in Data Science

1
Chapter 1: What is Data Science? 55:08

۵ years پیش55:08

55:08

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 to be one? In this episode we start with the basics—declaring once and for all what is data science anyway and exploring how the hype of the field matches reality. We explore the three main areas of data science - analytics, decision science, and machine learning - and help you figure out which is best for YOU.…

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