I’m new to pandas and trying to understand the hype. I get that it’s powerful, but for someone used to dplyr it feels like way more effort than expected for simple tasks. Sometimes I’m chaining dot syntax, other times I’m writing out long groupby statements that feel clunky. I’m wondering if there’s a better mental model I’m missing or if I should cut my losses and try Polars instead. Does it eventually become second nature?

Can you be on more than one project at a time? Like if you have a project that only takes up like 10 hours a week, can you get onto another project to fill the remaining hours? I know your coach is supposed to be your project manager which is why I wonder if it’s maybe not allowed?

How's work life balance, working hours and projects (salesforce testing) at KPMG Global Services.

*Input on Salary* I have two opportunities in hand.
1) EY GDS - Assurance Senior
2) BDO Rise - Assurance Senior

I am an ACCA affiliate with 2+ years of experience in Assurance. What can I expect in terms of compensation?

Thank you in advance.

BDO BDO RISE Private Limited EY

Hi queers, queens and everything in between 💕

Day 1 CPT or H4 EAD?

What are the top in-demand functional/specialist skills in the federal consulting space? I’m more of a generalist at the moment and I’m trying to build my skill set to be more marketable.

Will _vois provides WFH option after covid too. Have they given it anyone before pandemic?

Stimulants and sweating! I’m going back to the office and never used them while in the office, I don’t want to look or be sweaty haha any advice? I also don’t want to look weird drinking 6L of water as I do in person

I am a mechanical engineer having 10 years of experience in wind and automotive domain. Is it possible to switch to IT domain. Please suggest some course without or with basic codeing to get some IT jobs.

Would anyone who owns the bowflex adjustable dumbbells mind sharing their opinions about them? I’m thinking of either purchasing some for my home gym or buy an entire dumbbell set.

ISO: experienced recruiter for a career consultation. Laid off a few times. Trying to make sure the next job sticks. I’ll compensate for your time!

Hello! I’m a Talent Acquisition Manager at a 300 FTE sized gov contractor with 2 recruiters under me. One of my recruiters and I are both having babies in August and will be out for 12 weeks. She’s only coming back part time. My leadership already said no to hiring another full time recruiter. Has anyone had any good experience with contract recruiters? Or any advice for a short term solution?

Botox recommendations anyone?

What are your companies doing for covid now? Are you expected to just use sick time or is there separate paid time that can be used for vaccines, testing and time needed if you are sick and get positive results?

What is the market like for entry level data scientists/ data analyst. I have a graduate certificate in data science and have spent the last 27 years as a mainframe dev so I have great SQL skills.

How is it to work as a Data Scientist at Morgan Stanley ? How os the data culture ?

How many folks here have gone from data science into ML? And how many folks here have gone from data science into product management, or want to? Would love to hear some views here about career paths for data science people.

Senior to Manager-level Data Scientists, what is the minimum set of skills and experience you require someone to have in order to train them to be a Data Scientist?

I have a handful of people from BI and Marketing who want to learn how to be a "Data Scientist" where some of them have stronger SQL knowledge and ability than others, but some of them have more exposure to languages like Python and R, and a little bit of machine learning exposure.

Appreciate the input in advance.

I have 5 YOE in Analytics... always thought I wanted to be a DS, but every job (even the junior ones) required experience in ML development. Though I am part of the ML project, I'm not the person develop the model. And I have a hard time when the interviewer ask about how I develop the model and what hyperparameters I tuned. I know the thought process and stuff but 'I' wasn't the one who did that part in the project. How to convince them that I could do the job without taking credit of others.

Here is my go-to interview question, "What is the difference between data science and data analytics?"

What questions does everyone else include when interviewing or is the best question you've been asked in an interview?

How do you know your value? Throughout my 10 yrs of being in a professional setting, I've had colleagues from various places of employment say, I don't think you know your worth. You're under valued, etc. What exercises/tools have helped you realize your worth and effectively advocate for it? TIA!

Would like some opinions about how likely it is to make product analytics self serve by PMs? Anybody have success here? Or is it hopeless to think that product managers can pull their own data, look at their own dashboards, and do basic data tasks themselves?

I like to pursue in the data science field. I have business Analyst experience but to switch to data science field could you guide me on what should I learn? Where should I start?

This bowl is crickets and I think we should make it much bigger. Anybody have any ideas how to get more people in his bowl?

Where are good companies to apply for to get into data science? My offer right now for data science in the big4 is only 66k and I definitely can’t go that low. Industrial engineering background with experience in analytics.

There is a MS program in Data Science at CUNY SPS. I am considering to take that program or do the CFA. Does anyone have any insight about the program?

Can anyone please share what salaries for Data Analysts are like in Bangalore, India for someone with about 2-4 years experience? Roughly how much per year can Data Analysts for large organizations expect to make?

Does anybody here do any side work for extra income using their data expertise? I would love ideas that I could do from ~5-15 hours a week. Tutoring is the only thing that comes to mind immediately. Thanks in advance!

I’ve got about 20 years cross channel experience in marketing, split between big brands and startups, and I’m considering pivoting into a data science/data analyst role. I know it will initially be a step back in comp but is it at all realistic for a person with certificate level experience in data analysis but a decent marketing management background to expect $150-200k comp or is that mostly for degreed candidates (or not realistic at all)? Any guidance here is greatly appreciated.

Good morning, hope everyone is having a great week! Does anyone have any advice on breaking into an analyst role? I am currently a Senior Customer Success Manager, with a background in Operations/Process and Project Management as well. I have always enjoyed the analysis pieces of my roles and would love to expand my skills to show how qualified for a position in data analytics. Thank you in advance for the help!