Twitter | Search | |
Search Refresh
Rob Butler 13h
Do you have what it takes to be a ? does & he is on our team inside . ✅ Math & Statistics ✅ Programming & Database ✅ Domain Knowledge & Soft Skills ✅ Communication & Visualization
Reply Retweet Like
Alise Otília Ramírez 13h
Fellow , what types of questions do you typically get during interviews? Can you recall any specific questions that you could share? Please include seniority level of the applied role!
Reply Retweet Like
Ambient Intelligence 11h
Reply Retweet Like
Wanzitech.Gh Jul 22
Africa need strong Data Scientist in the next five years to help us make good decision from the volume the data we are producing. If you want to support this contact us. by E-mail or via Msg. for Africa
Reply Retweet Like
Dez Blanchfield Jul 19
you don't have to be a to interpret this data.. let's have at it.. Comments? Thoughts? Opinions? what does our future look like?
Reply Retweet Like
Microsoft Azure Jul 21
Take the first step to becoming a . Start the course:
Reply Retweet Like
Brigitte Naylor 19h
You`re a and forgot to register for the SAS Data Science virtual event? It`s not too late! We`re online for the next 24 hours. Come and join data experts from around the world
Reply Retweet Like
Ed Kwedar 11h
Ask these 4 important questions before hiring a -
Reply Retweet Like
Benjamin Carr, Ph.D. 🐟🏞️🧬🌎👨🏻‍💻🌊🐕📷 5h
How to fail as a : 3 common mistakes 1. Focusing only on solution, context matters 2. Forgetting basics: "Simple tools like can actually be quite powerful when paired with well-curated " 3. Ineffectively communicating
Reply Retweet Like
Ordnance Survey Jul 18
Our Graduate Lucie Woellenstein has been visualising Britain's most complex motorway junctions - find out why
Reply Retweet Like
Pradeep Rao 17h
Reply Retweet Like
Hokodo 16h
Find out how we reduced our model development time by 50% in our most recent article 👇📉
Reply Retweet Like
Justin Williams 22h
Read new article from : "Strategy, Not , Defines the Winners."
Reply Retweet Like
Charles Apigian Jul 22
I get that not everyone should be labeled as a , but encouraging everyone to dabble is good thing. This does not have to be an exclusive group. Too many jobs and too much data to wrangle. - What’s wrong with the approach to Data Science?
Reply Retweet Like
Chris Rigatuso Jul 21
Reply Retweet Like
TechDataUKIBMSW Jul 21
Better mathematics will make you a better . Here's a brief but essential guide to the maths you should know.
Reply Retweet Like
David Holm Jul 21
Reply Retweet Like
Kirk Borne Jul 21
The First Things you Should Learn as a — Not what you Think: ————— ————— Graphics by
Reply Retweet Like
Bell Labs Jul 21
Noted says that that your career success is more about your ability to work with others rather than your DNA. Listen to our Future Human Episodes! 16: Better Data Through Diversity 17: Alex’s Shannon Luminary Lecture
Reply Retweet Like

Related searches

@mikequindazzi
Werner Denzin Jul 20
Vacation, rest and some data in hands! Thanks a lot, ! It's a fantastic title that all and should read, read and read! Excellent!
Reply Retweet Like