data science

Let’s talk money. As a “hot” career right now, data science can pay pretty well. But for an individual person matched with a specific job or industry, how much should someone expect to make? 

Since Katie was on the job market lately, this was something she’s been researching, and it turns out that data science itself (in particular linear regressions) has some answers. 

In this episode, we go through a survey of hundreds of data scientists, who report on their job duties, industry, skills, education, location, etc. along with their salaries, and then talk about how this data was fed into a linear regression so that you (yes, you!) can use the patterns in the data to know what kind of salary any particular kind of data scientist might expect.

Careers in Data Science

Intercom content marketing manager Adam Risman talks with Riley Newman about the importance of early data investment for startups, making data accessible at scale, and why data is "the voice of the customer."

Riley Newman, Head Of Data Science At Airbnb

In this session of the Super Data Science Podcast, I chat with Up and Rising Tableau Expert Megan Putney. You will know about how Megan started with Tableau through online learning, learn about know about Ad Hoc Analytics and gain some powerful Tableau insights.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/12

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 012 : Online Learning, Tableau Insights and Ad Hoc Analytics with Megan Putney

In this episode of the Super Data Science Podcast, I chat with Chief Data Scientist Damian R Mingle. You will learn about how to build models with 95% accuracy rates, know the 3 top tips on quick wins and winning people over; and get ideas on how to save lives with data science.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/13

SDS 013 : 95% Accuracy Models, Winning People Over, and Saving Lives with Damian Mingle

Today we are delighted to bring you an interview with Matt Might, computer scientist and medical researcher extraordinaire and architect of President Obama's Precision Medicine Initiative.  As the Obama Administration winds down, we're talking with Matt about the goals and accomplishments of precision medicine (and related projects like the Cancer Moonshot) and what he foresees as the future marriage of data and medicine.  Many thanks to Matt, our friends over at Partially Derivative (hi, Jonathon!) and the White House for arranging this opportunity to chat.  Enjoy!

Data and the Future of Medicine : Interview with Precision Medicine Initiative researcher Matt Might

Janna Bastow, Co-Founder of Mind the Product and ProdPad, talks with Intercom's Adam Risman about how to build and scale product roadmaps, say no to feature requests and much more.

Janna Bastow, Co-Founder, Mind the Product

In this episode of the SuperDataScience Podcast, I chat with Founder and Co-CEO of Experfy, Harpreet Singh. You will be able to learn and assess on Experfy, get to discuss data science application case studies and know the secret to data science success.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/37

SDS 037: Develop your Dream Data Science Career with Experfy

What can you start doing today to be able to get your dream job in data science?

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/38

SDS 038: How to Get a Job in Data Science

In this episode of the SuperDataScience Podcast, I chat with Director of Data Science at VSCO Ruben Kogel. You will be able to discuss about how to build a data culture in an organization, learn about setting up and analyzing A/B tests and know the ideal qualities of data scientists. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/39

SDS 039: Key Data Science and Statistical Skills to Get Hired at VSCO

In this episode of the SuperDataScience Podcast, I chat with the Head of Business Intelligence at EXASOL, Eva Murray. You will listen to a start of a visual analytics journey, hear about Eva's career decisions which took her around the world, discuss Tableau and an intro to those that are new to the tool, and know the current opportunities at Exasol.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/127

SDS 127: No Compromise: Tableau, Twitter and Fearless Career Shifts

پہنچی وہیں پہ خاک۔۔۔ جہاں کا خمیر تھا۔۔۔

data science

AmmarHassan