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:

December 09, 2022From Software Engineer to Data Science Manager - Sadat Anwar
We talked about:
Sadat’s background

Sadat’s backend engineering experience

Sadat’s pivot point as a backend engineer

Sadat’s exposure to ML and Data Science

Sadat’s Act Before you Think approach (with safety nets)

Sadat’s street cred and transition into management

The hiring process as an internal candidate

The importance of people management skills

The Brag List

The most difficult part of transitioning to management

Focusing on projects and setting milestones

Sadat’s transition from EM to data science management

How much domain knowledge is needed for management?

The main difference between engineering and management

How being an EM helped Sadat transition no DS management

53:32 Transitioning to DS management from other roles

How to feel accomplished as a manager

Sadat’s book recommendations

Sadat’s meetups

Links:
Sadat's Meetup page: https://www.meetup.com/berlin-search-technology-meetup/

Meetup event "Bias in AI: how to measure it and how to fix it event": https://www.meetup.com/data-driven-ai-berlin-meetup/events/289927565/

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
53min
December 02, 2022Teaching and Mentoring in Data Analytics - Irina Brudaru
We talked about:
Irina’s background

Irina as a mentor

Designing curriculum and program management at AI Guild

Other things Irina taught at AI Guild

Why Irina likes teaching

Students’ reluctance to learn cloud

Irina as a manager

Cohort analysis in a nutshell

How Irina started teaching formally

Irina’s diversity project in the works

How DataTalks.Club can attract more female students to the Zoomcamps

How to get technical feedback at work

Antipatterns and overrated/overhyped topics in data analytics

Advice for young women who want to get into data science/engineering

Finding Irina online

Fundamentals for data analysts

Suggestions for DataTalks.club collaborations

Conclusions

Links:
LinkedIn Account: https://www.linkedin.com/in/irinabrudaru/

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
54min
November 25, 2022Technical Writing and Data Journalism - Angelica Lo Duca
We talked about:
Angelica’s background

Angelica’s books

Data journalism

How Angelica got into data journalism

The field of digital humanities and Angelica’s data journalism course

Technical articles vs data journalism articles

Transforming reports into data storytelling

Are reports to stakeholders considered technical writing?

Data visualization in articles

Article length

The process of writing an article

Finding writing topics

How Angelica got into writing a book (communication with publishers)

The process for writing a book

Brainstorming

Reviews and revisions

Conclusion

Links:
Data Journalism examples (FENCED OUT): https://www.washingtonpost.com/graphics/world/border-barriers/europe-refugee-crisis-border-control/??noredirect=on

Data Journalism examples (La tierra esclava): https://latierraesclava.eldiario.es/

Small medium publication aiming at being Stack Overflow of Medium: https://medium.com/syntaxerrorpub

Example of a self-published book on Data Visualization: https://www.amazon.com/Introduction-Data-Visualization-Storytelling-Scientist-ebook/dp/B07VYCR3Z6/ref=sr_1_4?crid=4JRJ48O7K8TK&keywords=joses+berengueres&qid=1668270728&sprefix=joses+beremguere%2Caps%2C273&sr=8-4

My novels (in Italian) La bambina e il Clown: https://www.amazon.it/Bambina-Clown-Angelica-Lo-Duca/dp/1500984515/ref=sr_1_9?__mk_it_IT=%C3%85M%C3%85%C5%BD%C3%95%C3%91&crid=2KGK9GMN0FAHI&keywords=la+bambina+e+il+clown&qid=1668270769&sprefix=la+bambina+e+il+clown%2Caps%2C88&sr=8-9

My novels (in Italian) Il Violinista: https://www.amazon.it/Violinista-1-Angelica-Lo-Duca/dp/1501009672/ref=sr_1_1?__mk_it_IT=%C3%85M%C3%85%C5%BD%C3%95%C3%91&crid=12KTF9EF5UKIG&keywords=il+violinista+lo+duca&qid=1668270791&sprefix=il+violinista+lo+duca%2Caps%2C81&sr=8-1

Course on Data Journalism: https://www.coursera.org/learn/visualization-for-data-journalism

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
51min
November 18, 2022From Digital Marketing to Analytics Engineering - Nikola Maksimovic
We talked about:
Nikola’s background

Making the first steps towards a transition to BI and Analytics Engineering

Learning the skills necessary to transition to Analytics Engineering

The in-between period – from Marketing to Analytics Engineering

Nikola’s current responsibilities

Understanding what a Data Model is

Tools needed to work as an Analytics Engineer

The Analytics Engineering role over time

The importance of DBT for Analytics Engineers

Where can one learn about data modeling theory?

Going from Ancient Greek and Latin to understanding Data (Just-In-Time Learning)

The importance of having domain knowledge to analytics engineering

Suggestion for those wishing to transition into analytics engineering

The importance of having a mentor when transitioning

Finding a mentor

Helpful newsletters and blogs

Finding Nikola online

Links:
Nikola's LinkedIn account: https://www.linkedin.com/in/nikola-maksimovic-40188183/

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
47min
November 11, 2022Product Owners in Data Science - Anna Hannemann
We talked about:
About Anna and METRO

Anna’s background

The importance of a technical background for data product owners

What are product owners?

Product owners vs product managers

Anna’s work on recommender systems at METRO

Expanding the data team

Types of algorithms used for recommender systems

What kind of knowledge and skills data product owners need to have

Problems and ideas should come from the business

How Anna handles all her responsibilities

The process for starting work on new domains

Product portfolio management

ProductTank and Anna’s role in it

Anna’s resource recommendations

Links:
Data Science for Business Book: https://www.amazon.de/-/en/Foster-Provost/dp/1449361323/ref=sr_1_1?keywords=data+science+for+business&qid=1666404807&qu=eyJxc2MiOiIxLjg3IiwicXNhIjoiMS41MiIsInFzcCI6IjEuNDYifQ%3D%3D&sr=8-1

Article on Data Science Products: https://www.linkedin.com/pulse/way-create-data-science-products-lessons-learnt-anna-hannemann-phd/

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
55min
November 04, 2022Building Data Science Practice - Andrey Shtylenko
We talked about:
Audience Poll

Andrey’s background

What data science practice is

Best DS practice in a traditional company vs IT-centric companies

Getting started with building data science practice (finding out who you report to)

Who the initiative comes from

Finding out what kind of problems you will be solving (Centralized approach)

Moving to a semi-decentralized approach

Resources to learn about data science practice

Pivoting from the role of a software engineer to data scientist

The most impactful realization from data science practice

Advice for individual growth

Finding Andrey online

Links:
Data Teams book: https://www.amazon.com/Data-Teams-Management-Successful-Data-Focused/dp/1484262271/

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
50min
October 28, 2022Large-Scale Entity Resolution - Sonal Goyal
We talked about:
Sonal’s background

How the idea for Zingg came about

What Zingg is

The difference between entity resolution and identity resolution

How duplicate detection relates to entity resolution

How Sonal decided to start working on Zingg

How Zingg works

What Zingg runs on

Switching from consultancy to working on a new open source solution

Why Zingg is open source

Open source licensing

Working on Zingg initially vs now

Zingg’s current and future team

Sonal’s biggest current challenge

Avoiding problems with entity/identity resolution through database design

Identity resolution vs basic joins, data fusions, and fuzzy joins

Deterministic matching vs probabilistic machine learning

Identity and entity resolution applications for fraud detection

Graph algorithms vs classic ML in entity resolution

Identity resolution success stories

What Sonal would do differently given the chance to start over with Zingg

Advice for those seeking to realize their own solution to a data problem

Reading suggestion from Sonal

Conclusion

Links:
Open-Source Spotlight demo "Zingg":https://www.youtube.com/watch?v=zOabyZxN9b0

Creative Selection: Inside Apple's Design Process During the Golden Age of Steve Jobs book: https://www.amazon.com/Creative-Selection-Inside-Apples-Process/dp/1250194466

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
54min
October 21, 2022From Data Science to DataOps - Tomasz Hinc
We talked about:
Tomasz’s background

What Tomasz did before DataOps (Data Science)

Why Tomasz made the transition from Data science to DataOps

What is DataOps?

How is DataOps related to infrastructure?

How Tomasz learned the skills necessary to become DataOps

Becoming comfortable with terminal

The overlap between DataOps and Data Engineering

Suitable/useful skills for DataOps

Minimal operational skills for DataOps

Similarities between DataOps and Data Science Managers

Tomasz’s interesting projects

Confidence in results and avoiding going too deep with edge cases

Conclusion

Links:
Terminal setup video, 19 minutes long: https://www.youtube.com/watch?v=D2PSsnqgBiw

Command line videos, one and a half hour to become somewhat comfy with the terminal: https://www.youtube.com/playlist?list=PLIhvC56v63IKioClkSNDjW7iz-6TFvLwS

Course from MIT talking about just that (command line, git, storing secrets): https://missing.csail.mit.edu/

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
52min
October 14, 2022Data Science Career Development - Katie Bauer
We talked about:
Katie’s background

What is a data scientist?

What is a data science manager?

Quality of the craft

How data leaders promote career growth

Supporting senior data professionals

Choosing the IC route vs the management route

Managing junior data professionals

Talking to senior stakeholders and PMs as a junior

The importance of hiring juniors

What skills do data scientist managers need to get hired?

How juniors that are just starting out can set themselves apart from the competition

Asking senior colleagues for help and the rubber duck channel

The challenges of the head of data

Conclusion

Links:
Jobs at Gloss Genius: https://boards.greenhouse.io/glossgenius

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
54min
October 07, 2022From Testing Phones to Managing NLP Projects - Alvaro Navas Peire
We talked about:
Alvaro’s background

Working as a QA (Quality Assurance) engineer

Transitioning from QA to Machine Learning

Gathering knowledge about ML field

Searching for an ML job (improving soft skills and CV)

Data science interview skills

Zoomcamp projects

Zoomcamp project deployment

How to not undersell yourself during interviews

Alvaro’s experience with interviews during his transition

Alvaro’s Zoomcamp notes

Alvaro’s coach

The importance of mathematical knowledge to a transition into ML

Preparing for technical interviews

Alvaro’s typical workday

Alvaro’s team’s tech stack

The importance of a technical background to transitioning into ML

Links:
Alvaro's CV: https://www.dropbox.com/s/89hkt3ug0toqa2n/CV%20nou%20-%20angl%C3%A8s.pdf?dl=0

Github profile: https://github.com/ziritrion

LinkedIn profile: https://www.linkedin.com/in/alvaronavas/

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcampJoin
DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
49min

FAQs about DataTalks.Club:

How many episodes does DataTalks.Club have?

The podcast currently has 185 episodes available.

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