DataTalks.Club

By DataTalks.Club

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

· Technology

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FAQs about DataTalks.Club:

How many episodes does DataTalks.Club have?

The podcast currently has 212 episodes available.

DataTalks.Club episodes:

April 29, 2022Recruiting Data Engineers - Nicolas Rassam
We talked about:
Nicolas’ background

The tech talent market in different countries

Hiring data scientists vs data engineers

A spike in interest for data engineering roles

The importance of recruiters having technical knowledge

The main challenges of hiring data engineers

The difference in hiring junior, mid, and senior level data engineers

Things recruiters look for in people who switch to a data engineering role

The importance of knowing cloud tools

The importance of knowing infrastructure tools

Preparing for the interview

The importance of a formal education

The importance having a project portfolio

How your current domain influence the interview

Conclusion

Links:
Nicolas' Twitter: https://twitter.com/n_rassam

Nicolas' LinkedIn: https://www.linkedin.com/in/nicolasrassam/

Onfido is hiring: https://onfido.com/engineering-technology/

Interview with Alicja about recruiting data scientists: https://datatalks.club/podcast/s07e02-recruiting-data-professionals.html

Webinar "Getting a Data Engineering Job" with Jeff Katz: https://eventbrite.com/e/310270877547

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

Our events: https://datatalks.club/events.html
...more
50min
April 22, 2022Storytime for DataOps - Christopher Bergh
We talked about:
Christopher’s background

The essence of DataOps

Also known as Agile Analytics Operations or DevOps for Data Science

Defining processes and automating them (defining “done” and “good”)

The balance between heroism and fear (avoiding deferred value)

The Lean approach

Avoiding silos

The 7 steps to DataOps

Wanting to become replaceable

DataOps is doable

Testing tools

DataOps vs MLOps

The Head Chef at Data Kitchen

What’s grilling at Data Kitchen?

The DataOps Cookbook

Links:
DataOps Manifesto website: https://dataopsmanifesto.org/en/

DataOps Cookbook: https://dataops.datakitchen.io/pf-cookbook

Recipes for DataOps Success: https://dataops.datakitchen.io/pf-recipes-for-dataops-success

DataOps Certification Course: https://info.datakitchen.io/training-certification-dataops-fundamentals

DataOps Blog: https://datakitchen.io/blog/

DataOps Maturity Model: https://datakitchen.io/dataops-maturity-model/

DataOps Webinars: https://datakitchen.io/webinars/

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

Our events: https://datatalks.club/events.html
...more
53min
April 15, 2022Machine Learning and Personalization in Healthcare - Stefan Gudmundsson
We talked about:
Stefan’s background

Applications of machine learning in healthcare

Sidekick Health – gamified therapeutics

How is working for King different from Sidekick Health?

The rewards systems in gamified apps

The importance of building a strong foundation for a data science team

The challenges of building an app in the healthcare industry

Dealing with ethics issues

Sidekick Health’s personalized recommendations and content

The importance of having the right approach in A/B tests (strong analytics and good data)

The importance of having domain knowledge to work as a data professional in the healthcare industry

Making a data-driven company

Risks for Sidekick Health

Sidekick Health growth strategy

Using AI to help people live better lives

Links:
LinkedIn: https://www.linkedin.com/in/stefanfreyrgudmundsson/

Job listings: https://sidekickhealth.bamboohr.com/jobs/
Join DataTalks.Club: https://datatalks.club/slack.html

Our events: https://datatalks.club/events.html
...more
52min
April 08, 2022Innovation and Design for Machine Learning - Liesbeth Dingemans
We talked about:
Liesbeth’s background

What is design?

The importance of interaction in design

Design as a process (Double Diamond technique)

How long does it take to go from an idea to finishing the second diamond?

Design thinking (Google’s PAIR)

What is a Design Sprint and who should participate in it?

Why should data specialists care about design?

Challenging your task-giver (asking “why”)

How to avoid the “Chinese whisper game” (reiterating the problem)

Defining the roadmap for data science teams

What is innovation?

Bringing innovation to your management

Task force-team approach to solving problems

Innovation, resource management issues, and using data to back your ideas

Words of advice for those interested in design and innovation

Links:
LinkedIn: https://www.linkedin.com/in/liesbeth-dingemans/

Medium posts on design, innovation, art and AI: https://medium.com/@liesbethmd

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

Our events: https://datatalks.club/events.html
...more
56min
April 01, 2022Hacking Your Data Career - Marijn Markus
We talked about:
Marijn’s background

Standing out in data science

Doing the opposite of what people tell you

Don’t shoot the messenger (carefully sharing your findings)

Advising the seniors

Bite off more than you can chew, then chew

Marijn’s side projects (finding value in doing things you find interesting)

Building a project portfolio

Marijn’s NGO project

The importance of a team

Open source intelligence (OSINT)

The importance of soft skills for data experts

Marijn’s LinkedIn growth strategy and tips
Links:
Twitter: https://twitter.com/MarijnMarkus

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

Our events: https://datatalks.club/events.html
...more
56min
March 25, 2022Visualising Machine Learning - Meor Amer
We talked about:
kDimensions

Being self-employed

Visual engineering

Constrain yourself to get creative

Coming up with ideas

Visualising difficult concepts

The process of creating visuals

Creating visuals

Learning to create visuals for engineers

Consuming with intention to create

Learning by breaking code

Earning with visuals

Adding visuals to blog posts

Meor’s book: visual introduction to deep learning

Links:
A Visual Introduction to Deep Learning by Meor Amer: https://gumroad.com/a/63231091

kDimensions website: https://kdimensions.com/

Book to learn about Figma: https://figmabook.com/

Jack Butcher's approach: https://www.youtube.com/watch?v=azhqc4K-GAE

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

Our events: https://datatalks.club/events.html
...more
53min
March 18, 2022From Math Teacher to Analytics Engineer - Juan Pablo
We talked about:
Juan Pablo's Backround

Data engineering resources

Teaching calculus

Transitioning to Analytics

Data Analytics bootcamp

Getting money while studying

Going to meetups to get a job

Looking for uncrowded doors

Using LinkedIn

Portfolio

Talking to people on meetups

Eight tips to get your first analytics job

Consider contracts and temporary roles

Getting experience with non-profits

Create your own internship

Networking

Website for hosting a portfolio

I’m a math teacher. What should I learn first?

Analytics engineering

Best suggestion: keep showing up

Networking on online conferences

Communication skills and being organized

Links:
Website: https://www.thatjuanpablo.com/

Twitter: https://twitter.com/thatjuanpablo

BROKE teacher to FAANG engineer Twitter thread: https://twitter.com/thatjuanpablo/status/1475806246317875203

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

Our events: https://datatalks.club/events.html
...more
51min
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

FAQs about DataTalks.Club:

How many episodes does DataTalks.Club have?

The podcast currently has 212 episodes available.

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