What tools or sites would you recommend for Data visualisation/insights.

Any good academy for data engg role to learn. Scaler is costly is it worth?

Need to find a new apartment—what is the best way to find apartments in DC? Apartments dot com? Zillow?

Makkaley, are we really going to office this June 1st??? 😰😜

Does anybody have any experience working with BreakLine? Currently in a federal role and trying to pivot away from the public sector entirely.

2 years out of college, need to leave/transfer. Do I keep internships or just focus on all projects from my one job? And would you add recruiting (to show you took part in side initiatives)? Thanks!

Which email would you use to apply for a job/reach out to recruiters? I have 3 options (Cont’d)

Billed 0 hours today. 4 hours all week. Wooo!!!

Hi fishes,any openings for HR transformation/ Automation role?

Hello Fishes,

Can someone from KPMG refer me for Sr Executive Risk and Compliance?

Please DM.

Thanks

Had a great first date, both agreed to do it again, texted to each other saying had a good time. Now he’s not responding. I know it’s time to move on, but anything else I can do? Just really like the guy 😪

Does anyone have information about the role of a mediator? I’m trying to find valuable information online about what it’s like and what it takes to become a mediator of any kind and there’s so much space trash out there. Whether it’s in divorce or conflict management or elsewhere, I’m just seeking perspective. Any insight or connections would be appreciated!

Viola Davis. #queen

Anyone cycle in NYC? Recently picked up the hobby after escaping the city but feel like it’d be intimidating to bike with all the traffic

Anyone has experience with shipping stuff from the city to Europe. I’d like to send some of my stuff to NL and wanted to know best providers

Is working at a healthcare agency early in your career a bad move if you really want to do the traditional ad route? I ask because I was approached to apply for one (highly awarded). I’m at a small shop on a 6 month contract, and since it’s lockdown still, I’m keeping my ears open. I’ve heard it’s a hard niche to get out of.

Does your company split data science roles into different practices like data & analytics and software engineering? Does this inhibit collaboration & Where does a data engineer fall?

Hey all, I could use your advice on this — I’m relatively young in my career (24) and work in the analytics space. I’ve done ML projects, basic front end work, and data engineering work...

Hi 🐠, anyone had experience with tech screens with PwC? What kinds of questions were asked? Did they ask you to write code? Was it structured in a case scenario? Thank you!!

I’m 9 months at D doing data engineering work. I’d like to leave asap due to compensation and lack of structure but I have friends and others saying to stay at least one full year. I have been applying for the last 4 months and always seem to not get an offer. I did get a few contracts but that’s not optional. What should I do. Btw my tc is 120k I’m looking to make 180k . Thoughts…

In an interview today, I’m talking about using KNN for classification purposes, and the interviewer asks “I thought KNN didn’t have labels?”. What does this mean?

I was wondering if anyone had any thoughts on data science consulting firms. I'm trying to understand the types of projects and skills set gained while working on those teams.

Some firms that I have come across are: Mckinsey Advanced Analytics, Quantum Black, BCG Gamma, Bain Advanced Analytics, PWC Analytics, EY Economic and Modeling, KPMG Analytics, Fractal Analytics, Deloitte Analytics, Mu Sigma, and Accenture

Does anyone here work in the Data Science track for McKinsey marketing and sales group? Entered the interview process (post quanthub exam) and would looking for insight on what to expect from the live rounds.

What exits to industry have you seen for Data Analytics/Data Science at Manager level ?

Any recommended courses or books on customer care/cust success analytics or marketing analytics in general?

Looking for book/material recommendations:
I’m starting a new job as a data engineer in the web analytics and user interactions space. I want to hit the ground running with a solid understanding of the space, how things are measured, the types of problems I’m going to run into that have already been solved, etc. My background is typical technical DE candidate (python, cloud, sql, spark) but in unrelated domains and mostly batch data warehouse type environments. Thanks in advance!

Unbranched from my last post :

What are the ultimate career goals for someone with our experience and skillsets?

Data, Analytics, Consulting, Industry/functional
experience, maybe some tech..

Is it to be a Chief Data Officer or similar?

I've worked closely with several CDOs, and I'm not sure it's my dream..

I'm tired of showing organizations how to be "data-driven".
I think I can't stomach more "data governance" programs.

Having said that, I know a few CDOs with TC >$1M.

Leaving PwC to enter a firm’s data integration and migration practice as a supervisor. I have been bored of audit and wanted something new. My mentor at the firm will be training, but 2 questions.

1. How hard is it to start at fresh in the data field when you have no experience.

2. How is the field looking like in the future?

Starting off as a Project Manager for Analytics/Data Science projects after a Masters in Analytics. I was hoping to work as a Data Analyst though, with more focus on tech skills. Anyway- if in future I want to be moving into more tech focused roles, what should my path look like? I am quite good with Sql and Python, fairly decent with ML, so is Data Eng a viable option?

Anyone have any insights to Control Testing and Advanced Analytics group within Marcus @ Goldman Sachs?

What’s the best option for a generalist consultant to pivot into analytics work? Is an advanced degree (e.g. DS, DA, CS, etc) required to make the shift?

exploring data analytics, what’s a better intro level cert google data analytics or IBM?

In an ML pickle 🥒 Suggestions?

I build classic ML, new management is gung ho on DL. Want a deck of DL I've built. I read a lot but have only actually built minimal: a few MLPs.

I have a technical screen/case study for Slalom Associate Consultant - D&A (Data Engineering) role in Colorado. Any tips/tricks? They said don’t worry about prep it’s not whiteboard style more to gauge logical problem solving.

What’s it actually like to be a Data Analyst? Any tips? Trying to decide whether to take that career path… I don’t come from a tech/maths/science background but really curious about it