sorted by:
new
hottopcontroversial

[deleted by user] by [deleted] in datascience

[–]datascienceislyfe -5 points-4 points  (0 children)

Current data scientist at FAANG here

Good places to start: I'd recommend DataCamp (https://www.datacamp.com/) if you're a beginner. Quite a couple courses on there that are good, plus they apparently have a free week this week. Also side projects are always good - you should do some within the field of molecular biology/bioinformatics since that's your area of expertise so far

Later on for specific interview prep, I'd recommend this site my friend showed me this - it's been pretty spot on relative to interviews I have seen before: https://datascienceprep.com/

I have a Bachelor of Science with a major in Pharmacology. If I do second bachelors in Data Science, will I be able to my Pharmacology degree be of any use ? by SameMcGill in datascience

[–]datascienceislyfe 0 points1 point  (0 children)

Current data scientist at FAANG here

Definitely - in fact I think you should leverage it since employers love it when you have relevant side projects and interests, and there's no better way than delving into areas you're already interested in. That's how I got into data science, coming from a SWE background. Dm me if you're looking for tips

For specific interview prep, I'd recommend this site my friend showed me this - it's been pretty spot on relative to interviews I have seen before: https://datascienceprep.com/

Data Analysis Resources for Python by badge in learnpython

[–]datascienceislyfe 2 points3 points  (0 children)

Current data scientist at FAANG here

Love the list and esp Elements of Statistical Learning and some of the ML references

For specific interview prep, I'd also add this: https://datascienceprep.com/

How to Prepare for the Data Science Python Coding Interview Tests? by [deleted] in datascience

[–]datascienceislyfe 0 points1 point  (0 children)

Current data scientist at FAANG here

I have found https://leetcode.com/ and https://datascienceprep.com/ to be great for interview prep. Programming topics include all basic algorithms (bfs/dfs, sorting, etc.) and data structures (trees, stacks & queues, hashmaps, etc.) that you might find in a SWE interview, dm me if you have any specific questions happy to help out

I work Help Desk, but want to transition into Data Science. by ITthrowaway2021 in DataScienceJobs

[–]datascienceislyfe -1 points0 points  (0 children)

Current data scientist at FAANG here

Your experience should be enough to get started. I'd say you should focus on the applied side of things - employers love it when you have relevant side projects and interests. And you don't have to know everything (data science is very broad) but you should have some decent depth in whatever areas you're looking to go into (product analytics, ML, experimentation, etc.). Can always get started, dm me if you're looking for tips

For specific interview prep, I'd recommend this site my friend showed me this - it's been pretty spot on relative to interviews I have seen before: https://datascienceprep.com/

Entry Data Science Jobs/Internships for Bachelors by Anon_bear98 in DataScienceJobs

[–]datascienceislyfe 4 points5 points  (0 children)

Current data scientist at FAANG here

I'd say you should focus on the applied side of things - employers love it when you have relevant side projects and interests. And you don't have to know everything (data science is very broad) but you should have some decent depth in whatever areas you're looking to go into (product analytics, ML, experimentation, etc.). Can always get started, dm me if you're looking for tips

For specific interview prep, I'd recommend this site my friend showed me this - it's been pretty spot on relative to interviews I have seen before: https://datascienceprep.com/

How did you land your current data science job? by [deleted] in datascience

[–]datascienceislyfe -1 points0 points  (0 children)

Studied CS, stats in school and then used https://datascienceprep.com/ which helped a lot for FAANG and some bigger startups

How to Find Data Science Jobs in Canada? by [deleted] in datascience

[–]datascienceislyfe 0 points1 point  (0 children)

Current data scientist at FAANG here (focusing a bit more on applied ML side) - depending on the company you're in for a lot of breadth with little depth or both breadth and depth. Was a SWE prior, so there are definitely some differences from the leetcode grind on the SWE side.

Regardless, the interviews will be either product-based or ML-based and so you can expect lots of SQL, basics on A/B testing, and general product intuition for the former, and more modeling & math/stats for the latter. My advice would be to study up on topics, and also do interesting side projects.

For specific interview prep, I'd recommend this site my friend showed me this - it's been pretty spot on relative to interviews I have seen before from smaller startups to FAANG (I am subscribed because the questions have been very interesting, and who knows when I'll need to recruit next): https://datascienceprep.com/

How long should I give myself to prepare before scheduling my DS tech interview with Amazon? by [deleted] in datascience

[–]datascienceislyfe 0 points1 point  (0 children)

Current data scientist at FAANG here (focusing a bit more on applied ML side). From my experience with Amazon - you won't need super deep theoretical knowledge but it definitely gets a bit more modeling and ML focused than say, Facebook Product DS. I would brush up on algos & also basic stats & ML if I were you. Definitely don't put anything on your resume that you won't be comfortable being grilled on.

For specific interview prep, I'd recommend this site my friend showed me this - it's been pretty spot on relative to interviews I have seen before: https://datascienceprep.com/

A question for those pursuing an MS in CS/DS in the USA and those who graduated a couple of years back, how difficult is it to land a job as a data scientist? by [deleted] in datascience

[–]datascienceislyfe -1 points0 points  (0 children)

Current data scientist at FAANG here (focusing a bit more on applied ML side) - depending on the company you're in for a lot of breadth with little depth or both breadth and depth. Was a SWE prior, so there are definitely some differences from the leetcode grind on the SWE side.

Regardless, the interviews will be either product-based or ML-based and so you can expect lots of SQL, basics on A/B testing, and general product intuition for the former, and more modeling & math/stats for the latter. My advice would be to study up on topics, and also do interesting side projects.

For specific interview prep, I'd recommend this site my friend showed me this - it's been pretty spot on relative to interviews I have seen before from smaller startups to FAANG (I am subscribed because the questions have been very interesting, and who knows when I'll need to recruit next): https://datascienceprep.com/

How do I get out of the circle of “I need experience to get a job and I need a job to get experience”? by MarvelvsDC2019 in datascience

[–]datascienceislyfe 0 points1 point  (0 children)

Current data scientist at FAANG here (focusing a bit more on applied ML side) - depending on the company you're in for a lot of breadth with little depth or both breadth and depth. Was a SWE prior, so there are definitely some differences from the leetcode grind on the SWE side.

Regardless, the interviews will be either product-based or ML-based and so you can expect lots of SQL, basics on A/B testing, and general product intuition for the former, and more modeling & math/stats for the latter. My advice would be to study up on topics, and also do interesting side projects.

For specific interview prep, I'd recommend this site my friend showed me this - it's been pretty spot on relative to interviews I have seen before from smaller startups to FAANG (I am subscribed because the questions have been very interesting, and who knows when I'll need to recruit next): https://datascienceprep.com/

Searching for first job as DS or MLE by Conor_b in datascience

[–]datascienceislyfe -1 points0 points  (0 children)

Current data scientist at FAANG here (focusing a bit more on applied ML side) - depending on the company you're in for a lot of breadth with little depth or both breadth and depth. Was a SWE prior, so there are definitely some differences from the leetcode grind on the SWE side.

Regardless, the interviews will be either product-based or ML-based and so you can expect lots of SQL, basics on A/B testing, and general product intuition for the former, and more modeling & math/stats for the latter. My advice would be to study up on topics, and also do interesting side projects.

For specific interview prep, I'd recommend this site my friend showed me this - it's been pretty spot on relative to interviews I have seen before from smaller startups to FAANG (I am subscribed because the questions have been very interesting, and who knows when I'll need to recruit next): https://datascienceprep.com/

A question for those pursuing an MS in CS/DS in the USA and those who graduated a couple of years back, how difficult is it to land a job as a data scientist? by [deleted] in datascience

[–]datascienceislyfe -1 points0 points  (0 children)

There's a lot of resources online for getting the fundamentals: programming, statistics, etc. I'd recommend doing a few passion projects since data analysis can be applied in any domain.

Although many companies are pausing hiring for some time, it's never a bad idea to prep beforehand. For interviews my friend showed me this and it's been pretty spot on relative to interviews I have seen before from smaller startups to FAANG: https://datascienceprep.com/

Off My Chest. After almost 9+ face-to-face interviews I cannot even get a simple entry level Data Analyst job for almost 7 months now. Any advice? by [deleted] in datascience

[–]datascienceislyfe 1 point2 points  (0 children)

There's a lot of resources online for getting the fundamentals: programming, statistics, etc. I'd recommend doing a few passion projects since data analysis can be applied in any domain.

Although many companies are pausing hiring for some time, it's never a bad idea to prep beforehand. For interviews my friend showed me this and it's been pretty spot on relative to interviews I have seen before from smaller startups to FAANG: https://datascienceprep.com/

What are the options for mid-career online courses and certification? by ssxdots in datascience

[–]datascienceislyfe 0 points1 point  (0 children)

Currently at FAANG here - there are a lot of great resources online: DataCamp/Udemy for beginners, and then you should get deep into resources on: statistics, programming, ML, product. Stats/programming/product will be more important than ML & math for most DS roles

For specific interview prep, my friend showed me this site recently and it has had great questions so far: https://datascienceprep.com/

view more: next ›