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 185 episodes available.

DataTalks.Club episodes:

May 28, 2021Becoming a Data-led Professional - Arpit Choudhury
We talked about:
Data-led academy

Arpit’s background

Growth marketing

Being data-led

Data-led vs data-driven

Documenting your data: creating a tracking plan

Understanding your data

Tools for creating a tracking plan

Data flow stages

Tracking events — examples

Collecting the data

Storing and analyzing the data

Data activation

Tools for data collection

Data warehouses

Reverse ETL tools

Customer data platforms

Modern data stack for growth

Buy vs build

People we need to in the data flow

Data democratization

Motivating people to document data

Product-led vs data-led

Links:
https://dataled.academy/

Join our Slack: https://datatalks.club/slack.html
...more
1h 1min
May 21, 2021How to Market Yourself (without Being a Celebrity) - Shawn Swyx Wang
We talked about:
Shawn’s background and his book

Marketing ourselves

Components of personal marketing

Personal brand for an average developer

Picking a domain: what to write about?

Being too niche

Finding a good niche

Learning in public

Borrowed platforms vs own platform

Starting on social media: Picking what they put down

Career transitioning: mutual exchange of value

Personal marketing for getting a new job

Getting hired through the back door

Finding content ideas

Marketing yourself in public — summary

Open-source knowledge

Internal marketing: promoting ourselves at work

Signature initiative

Public speaking

Wrapping up

Discount for the coding career book

75% of the engineering ladder criteria are not technical
Links:
Shawn's personal page: https://www.swyx.io/

Twitter: https://twitter.com/swyx

Book of the week page: https://datatalks.club/books/20210510-the-coding-career-handbook.html (with a discount for DTC members!)

Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
1h 3min
May 14, 2021From Physics to Machine Learning - Tatiana Gabruseva
We talked about:
Tatiana’s background

12 career hacks and changing career

Hack #1: Change your social circle

Hack #2: Forget your fears and stereotypes

Hack #3: Forget distractions

Hack #4: Don’t overestimate others and don’t underestimate yourself

Hack #5: Attention genius

Hack #6: Make a team

Hack #7: Less is more. Forget about perfectionism

Hack #8: Initial creation

Hack #9: Find mentors

Hack #10: Say “no”

Hack #11: Look for failures

Hack #12: Take care of yourself

Kaggle vs internships and pet projects

Resources for learning machine learning

Starting with Kaggle

Improving focus

Astroinformatics

How background in Physics is helpful for transitioning

Leaving academia

Preparing for interviews

Links:
Mock interviews: https://www.pramp.com/

Learning ML: https://www.coursera.org/learn/machine-learning and https://www.coursera.org/specializations/deep-learning

Python: https://www.coursera.org/learn/machine-learning-with-python

SQL: https://www.sqlhabit.com/

Practice: https://www.kaggle.com/

MIT 6.006: https://courses.csail.mit.edu/6.006/fall11/notes.shtml

Coding: https://leetcode.com/

System design: https://www.educative.io/courses/grokking-the-system-design-interview

Ukrainian telegram groups for interview preparation: https://t.me/FaangInterviewChannel, https://t.me/FaangTechInterview, https://t.me/FloodInterview

Join DataTalks.Club: https://datatalks.club/slack.html
...more
1h 7min
May 07, 2021What I Learned After Interviewing 300 Data Scientists - Oleg Novikov
We talked about:
Oleg’s background

Standing out in recruitment process

NextRound — a service for free mock interviews

Why rejections are generic

Starting NextRount — preparing a list of situations

Steps in the interview process

Read the job description!

CV is your landing page

Take-home assignments

Questions about your past experience

Hypothetical case questions

Technical rounds

Handling rejections

What to do after receiving an offer?

Do recruiters pay attention to age?

Getting a job with a PhD — it’s a cold start problem

Should I answer rejection emails?

Negotiating when my salary is low

Should I apply for jobs that require 5 years of experience?

Tricking applicant tracking systems

What else Oleg learned after interviewing 300 data scientists

How a horse's ass determined the design of a space shuttle

Links:
Oleg's service for interviews: https://nextround.cc/

LinkedIn: https://www.linkedin.com/in/olegnovikov/

Join DataTalks.Club: https://datatalks.club/slack.html
...more
1h 9min
April 30, 2021Effective Communication with Business for Data Professionals - Lior Barak
We talked about:
DataTalks.Club intro

Lior’s background

Who is a data strategist?

Improving communication between business and tech

Building trust

Putting data and business people together

Dealing with pushbacks

Building things in the lean way (and growing tomatoes)

Starting with ugly code

Convincing others to take our code

MVP vs development and Hummus

Talking to people who can’t code

Break down the silos

Hummus

Hummus places in Berlin

Lior’s book: Data is Like a Plate of Hummus

Data chaos

Links:
Book: https://www.amazon.com/-/en/Sarah-Mayor/dp/B086L277LZ (can be found on any amazon store)

Company: https://www.taleaboutdata.com/

Podcast: https://podcast.whatthedatapodcast.com/

Linkedin: https://www.linkedin.com/in/liorbarak/

Twitter: https://twitter.com/liorb

Hummus places in Berlin:
Azzam: https://goo.gl/maps/uCkb3ATc5CVKapDa6

Akkawy: https://g.page/akkawy

The Eatery Berlin: https://g.page/theeateryberlin

Join DataTalks.Club: https://datatalks.club/slack.html
...more
58min
April 23, 2021Data Observability - Barr Moses
We covered:
Barr’s background

Market gaps in data reliability

Observability in engineering

Data downtime

Data quality problems and the five pillars of data observability

Example: job failing because of a schema change

Three pillars of observability (good pipelines and bad data)

Observability vs monitoring

Finding the root cause

Who is accountable for data quality? (the RACI framework)

Service level agreements

Inferring the SLAs from the historical data

Implementing data observability

Data downtime maturity curve

Monte carlo: data observability solution

Open source tools

Test-driven development for data

Is data observability cloud agnostic?

Centralizing data observability

Detecting downstream and upstream data usage

Getting bad data vs getting unusual data

Links:
Learn more about Monte Carlo: https://www.montecarlodata.com/

The Data Engineer's Guide to Root Cause Analysis: https://www.montecarlodata.com/the-data-engineers-guide-to-root-cause-analysis/

Why You Need to Set SLAs for Your Data Pipelines: https://www.montecarlodata.com/how-to-make-your-data-pipelines-more-reliable-with-slas/

Data Observability: The Next Frontier of Data Engineering: https://www.montecarlodata.com/data-observability-the-next-frontier-of-data-engineering/

To get in touch with Barr, ping her in the DataTalks.Club group or use [email protected]

Join DataTalks.Club: https://datatalks.club/slack.html
...more
1h 2min
April 16, 2021Shifting Career from Analytics to Data Science - Andrada Olteanu
We talked about:
Andrada’s background
Recommended courses

Kaggle and StackOverflow

Doing notebooks on Kaggle

Projects for learning data science

Finding a job and a mentor with Kaggle’s help

The process for looking for a job

Main difficulties of getting a job

Project portfolio and Kaggle

Helpful analytical skills for transitioning into data science

Becoming better at coding

Learning by imitating

Is doing masters helpful?

Getting into data science without a masters

Kaggle is not just about competitions

The last tip: use social media

Links:
https://www.kaggle.com/andradaolteanu

https://twitter.com/andradaolteanuu

https://www.linkedin.com/in/andrada-olteanu-3806a2132/

Join DataTalks.Club: https://datatalks.club/slack.html
...more
1h 3min
April 09, 2021Transitioning from Project Management to Data Science - Ksenia Legostay
We talked about:
Knesia’s background

Data analytics vs data science

Skills needed for data analytics and data science

Benefits of getting a masters degree

Useful online courses

How project management background can be helpful for the career transition

Which skills do PMs need to become data analysts?

Going from working with spreadsheets to working with python

Kaggle

Productionizing machine learning models

Getting experience while studying

Looking for a job

Gap between theory and practice

Learning plan for transitioning

Last tips and getting involved in projects

Links:
Notes prepared by Ksenia with all the info: https://www.notion.so/ksenialeg/DataTalks-Club-7597e55f476040a5921db58d48cf718f

Join DataTalks.Club: https://datatalks.club/slack.html
...more
1h 4min
April 02, 2021Building Online Tech Communities - Demetrios Brinkmann
We talked about:
Demetrious’ background and starting the MLOps community

Growing MLOps community

Community moderations and dealing with problems

Becoming a community and connecting with people

Feeling belonged

Managing a community as an introvert

Keeping communities active

Doing custdev and talking to users

Random coffee and meeting with community members

Organizing community activities

Is community a business?

Five steps for starting a community in 2021

Shameless plug from Demetrious

Links:
https://mlops.community/

Join DataTalks.Club: https://datatalks.club/slack.html
...more
1h 14min
March 26, 2021DataOps 101 - Lars Albertsson
We talked about:
Lars’ career

Doing DataOps before it existed

What is DataOps

Data platform

Main components of the data platform and tools to implement it

Books about functional programming principles

Batch vs Streaming

Maturity levels

Building self-service tools

MLOps vs DataOps

Data Mesh

Keeping track of transformations

Lake house

Links:
https://www.scling.com/reading-list/

https://www.scling.com/presentations/

Join DataTalks.Club: https://datatalks.club/slack.html
...more
1h 10min

FAQs about DataTalks.Club:

How many episodes does DataTalks.Club have?

The podcast currently has 185 episodes available.

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