DataTalks.Club

By DataTalks.Club

DataTalks.Club - the place to talk about data!... more

· Technology

5

77 ratings

Download on the App Store

Download on the App Store

Get it on Google Play

FAQs about DataTalks.Club:

How many episodes does DataTalks.Club have?

The podcast currently has 185 episodes available.

DataTalks.Club episodes:

March 11, 2022From Data Science to Data Engineering - Ellen König
We talked about:
Ellen’s background

Why Ellen switched from data science to data engineering

The overlap between data science and data engineering

Skills to learn and improve for data engineering

Ways to pick up and improve skills (advice for making the transition)

What makes a data engineering course “good”

Languages to know for data engineering

The easiest part of transitioning into data engineering

The hardest part of transitioning into data engineering

Common data engineering team distributions

People who are both data scientists and data engineers

Pet projects and other ways to pick up development skills

Dealing with cloud processing costs (alerts, billing reports, trial periods)

Advice for getting into entry level positions

Which cloud platform should data engineers learn?

Links:
Twitter: https://twitter.com/ellen_koenig

LinkedIn: https://www.linkedin.com/in/ellenkoenig/
Join DataTalks.Club: https://datatalks.club/slack.html

Our events: https://datatalks.club/events.html
...more
55min
March 04, 2022Becoming a Data Engineering Manager - Rahul Jain
We talked about:
Rahul’s background

What do data engineering managers do and why do we need them?

Balancing engineering and management

Rahul’s transition into data engineering management

The importance of updating your skill set

Planning the transition to manager and other challenges

Setting expectations for the team and measuring success

Data reconciliation

GDPR compliance

Data modeling for Big Data

Advice for people transitioning into data engineering management

Staying on top of trends and enabling team members

The qualities of a good data engineering team

The qualities of a good data engineer candidate (interview advice)

The difference between having knowledge and stuffing a CV with buzzwords

Advice for students and fresh graduates

An overview of an end-to-end data engineering process

Links:
Rahul's LinkedIn: https://www.linkedin.com/in/16rahuljain/
Join DataTalks.Club: https://datatalks.club/slack.html

Our events: https://datatalks.club/events.html
...more
52min
February 25, 2022A/B Testing - Jakob Graff
We talked about:
Jakob’s background

The importance of A/B tests

Statistical noise

A/B test example

A/B tests vs expert opinion

Traffic splitting, A/A tests, and designing experiments

Noisy vs stable metrics – test duration and business cycles

Z-tests, T-tests, and time series

A/B test crash course advice

Frequentist approach vs Bayesian approach

A/B/C/D tests

Pizza dough

Links:
Jakob's LinkedIn: https://www.linkedin.com/in/jakob-graff-a6113a3a/

Product Analyst role at Inkitt: https://jobs.lever.co/inkitt/d2b0427a-f37f-4002-975d-28bd60b56d70

Join DataTalks.Club: https://datatalks.club/slack.html

Our events: https://datatalks.club/events.html
...more
55min
February 18, 2022Machine Learning System Design Interview - Valerii Babushkin
We talked about:
Valerii’s background

Who goes through an ML system design interview

System design VS ML System design

Preparing for ML system design interviews

Machine learning project checklist

The importance of defining a goal and ways of measuring it

What to do after you set a goal

Typical components of an ML system

Applying ML systems to real-world problems

System design and coding in interviews for new graduates

Humans in the validation of model performance

Links:
Valerii's telegram channel (in Russian): t.me/cryptovalerii
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
55min
February 11, 2022Career Coaching - Lindsay McQuade
We talked about:
Lindsay’s background

Spiced Academy

Career coaching role

Reframing your experience

Helping with career problems

Finding what interests you

Tailoring a CV and “spray and pray”

Career coaching outside a bootcamp

Imposter syndrome

After bootcamp

Internships

Working with recruiters

Networking on LinkedIn

Links:
Lindsay's LinkedIn: https://www.linkedin.com/in/lindsay-mcquade/

Impostor questionnaire: http://impostortest.nickol.as/

Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
53min
February 04, 2022Product Management Essentials for Data Professionals - Greg Coquillo
We talked about:
Greg’s background

Responsibilities of Data Product Manager

Understanding customer journey

Interviewing business partners and decision-makers

Products sense, product mindset, and product roadmap

Working backwards

Driving the roadmap

Building a roadmap in Excel

Measuring success

Advice for teams that don’t have a product manager

Links:
Greg's LinkedIn: https://www.linkedin.com/in/greg-coquillo/

Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
54min
January 28, 2022Recruiting Data Professionals - Alicja Notowska
We talked about:
Alicja’s background

The hiring process

Sourcing and recruiting

Managing expectations

Making the job description attractive

Selecting profiles during sourcing

Profile keywords

The importance of a Master’s vs a Bachelor’s degree vs a PhD

Improving CV

Interview with the recruiter

Salary expectations

Advice for “career changers”

Cover letters

Data analysts

Double Bachelor’s degrees

The most difficult part of hiring

Coursera courses on the CV

Making a good impression on recruiters

Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
58min
January 21, 2022DataTalks.Club Behind the Scenes - Eugene Yan, Alexey Grigorev
We talked about:
Alexey’s background

Being a principal data scientist

DataTalks.Club

The beginning and growth of DataTalks.Club

Sustaining the pace

Types of talks

Popular and favorite talks

Making DataTalks.Club self-sufficient

Alexey’s book and course

Advice for people starting in data science and staying motivated

Not keeping up to date with new tools

Staying productive

Learning technical subjects and keeping notes

Inspiration and idea generation for DataTalks.Club

Links:
https://eugeneyan.com/writing/informal-mentors-alexey-grigorev/

Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
51min
January 14, 2022DTC's minis - From Data Engineering to MLOps - Sejal Vaidya
We don't have a new episode this week, but we have an amazing conversation with Sejal Vaidya from August

We talked about
Sejal's background

Why transitioning to ML engineering

Three phases of development of a project

Why data engineers should get involved in ML

Technologies

Tips for people who want to transition

Soft skills and understanding requirements

Helpful resources

Resources:
ML checklist (https://twolodzko.github.io/ml-checklist.html)

Machine Learning Bookcamp (https://mlbookcamp.com/)

Made with ML course (https://madewithml.com)

Full-stack deep learning (https://fullstackdeeplearning.com)

Newsletters: mlinproduction, huyenchip.com, jeremyjordan.me, mihaileric.com

Sejal's "Production ML" twitter list (https://twitter.com/i/lists/1212819218959351809)

Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
17min
January 07, 2022Becoming a Data Science Manager - Mariano Semelman
We talked about:
Mariano’s background

Typical day of a manager

Becoming a manager

Preparing for the transition

Balancing projects and assumptions

Search and recommendations

Dealing with unfamiliar domains

Structuring projects

Connecting product and data science

Rules of Machine Learning

CRISP-DM and deployment

Giving feedback

Dealing with people leaving the team

Doing technical work as a manager

Dealing with bad hires

Keeping up with the industry

Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
1h 6min

FAQs about DataTalks.Club:

How many episodes does DataTalks.Club have?

The podcast currently has 185 episodes available.

More shows like DataTalks.Club

Software Engineering Radio - the podcast for professional software developers by se-radio@computer.org

Software Engineering Radio - the podcast for professional software developers

273 Listeners

TED Talks Daily by TED

TED Talks Daily

11,168 Listeners

The Changelog: Software Development, Open Source by Changelog Media

The Changelog: Software Development, Open Source

284 Listeners

Freakonomics Radio by Freakonomics Radio + Stitcher

Freakonomics Radio

31,966 Listeners

Super Data Science: ML & AI Podcast with Jon Krohn by Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

296 Listeners

Machine Learning Guide by OCDevel

Machine Learning Guide

764 Listeners

DataFramed by DataCamp

DataFramed

268 Listeners

Learning Bayesian Statistics by Alexandre Andorra

Learning Bayesian Statistics

66 Listeners

The Real Python Podcast by Real Python

The Real Python Podcast

138 Listeners

声动早咖啡 by 声动活泼

声动早咖啡

261 Listeners