Top Trending LinkedIn Posts about Data Science

how does post-deployment data science drive success across industries?


over the next 7 weeks, I’ll be exploring how data science leaders and decision-makers can

Unlocking Business Success: The Growing Demand for Data Science Leaders: Meet the demand for data science leaders with Northwestern University

Data Science projects often lose momentum without a clear structure.

The key is “shaping up”the project properly from the start.

Begin by mapping out the

Data science is 90% cleaning data...


and 10% complaining about cleaning data

Follow Alisha Surabhi for more!

#data #datascience #humour

Data Science Graduate (UK) ➡ Resume to interview for sponsored role in 6 days only. What's your excuse? ⤵


Imagine this: You’ve just

Data Science (MSc.) graduate in UK lands sponsored role interview in 6 days ⤵


👉 Day 1: Allocated to me

Together, we transformed resume into a

Data Science and Machine Learning E-book

Are you looking to delve deeper into the world of Data Science and Machine Learning? Here's a snapshot

Data Science isn't R
Data Science isn't Azure
Data Science isn't PowerBI

It's Python, AWS & Tableau

🙊

🔥🔥 𝐇𝐨𝐰 𝐭𝐨 𝐩𝐚𝐬𝐬 𝐭𝐡𝐞 𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐢𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰

💥 4 skills you need to ace the interview loop

👉 Click here for more

🔥🔥 𝟓 𝐁𝐞𝐬𝐭 𝐎𝐩𝐞𝐧 𝐒𝐨𝐮𝐫𝐜𝐞 𝐆𝐫𝐚𝐩𝐡 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬

💥 There are many reasons for searching for the best open source Graph Database programs. In the

🔥🔥 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞

💥 Tips from a former project manager on how to keep yourself on track even when things

🔥🔥 𝐐&𝐀: 𝐂𝐨𝐦𝐦𝐨𝐧 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞

💥 Answering some of the most common questions.

👉 Click here for more info: https://bit.ly/2wr6Ngf

👉👉 For Data

🔥🔥 𝐀𝐝𝐯𝐢𝐜𝐞 𝐟𝐨𝐫 𝐍𝐞𝐰 𝐚𝐧𝐝 𝐉𝐮𝐧𝐢𝐨𝐫 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭𝐬

This article is for the many Junior/Associate Data Scientists out there. If you’re just beginning your

🔥🔥 𝐀 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭’𝐬 𝐆𝐮𝐢𝐝𝐞 𝐭𝐨 𝐂𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐘𝐨𝐮𝐫 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥 𝐖𝐞𝐛𝐬𝐢𝐭𝐞 𝐰𝐢𝐭𝐡 𝐑

💥 Forget Wix or WordPress, make use of what you already know

In Data Science and Machine Learning, one of the core differences between R-squared and Adjusted R-squared is that adjusted R-squared considers and tests

Data Science isn't SQL.
Data Science isn't Python.
Data Science isn't Jupyter Notebooks.
Data Science isn't Pandas or Scikit-learn.
Data Science isn't fancy dashboards.

It's curiosity... about why

Data Science is NOT All About Coding.


When I first entered the data science arena armed with solid coding skills, I

Data Science Made Simple: 25 Terms You Need to Know

- A/B Testing: Comparing two versions of something to see which works better.
- Algorithm:

Data Science Made Simple: 25 Terms You Need to Know

- A/B Testing: Comparing two versions of something to see which works better.
- Algorithm:

Data Science Made Simple: 25 Terms You Need to Know

- A/B Testing: Comparing two versions of something to see which works better.
- Algorithm:

Data Science Made Simple: 25 Terms You Need to Know

- A/B Testing: Comparing two versions of something to see which works better.
- Algorithm:

Data Science Made Simple: 25 Terms You Need to Know

- A/B Testing: Comparing two versions of something to see which works better.
- Algorithm:

Data Science Made Simple: 25 Terms You Need to Know

- A/B Testing: Comparing two versions of something to see which works better.
- Algorithm:

Data Science Stack (DSS) by Canonical is an open-source, out-of-the-box environment for data scientists and ML engineers, designed to simplify model development and

Data Science vs. Data Engineering: How do the skills compare for these roles ?

In today’s challenging job market, early-career data scientists should expand

Data Science vs. Data Engineering: How do the skills compare for these roles ?

In today’s challenging job market, early-career data scientists should expand

Data Science & AI in Private Equity - "I don't think anyone has cracked the code yet on how to do

𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗢𝗳𝗳𝗶𝗰𝗲 𝗛𝗼𝘂𝗿 𝗥𝗲𝗰𝗮𝗽 & 𝗪𝗵𝗮𝘁’𝘀 𝗡𝗲𝘅𝘁!

A huge thank you to everyone who joined the pilot of the 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗢𝗳𝗳𝗶𝗰𝗲 𝗛𝗼𝘂𝗿

𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗢𝗳𝗳𝗶𝗰𝗲 𝗛𝗼𝘂𝗿 𝗥𝗲𝗰𝗮𝗽 & 𝗪𝗵𝗮𝘁’𝘀 𝗡𝗲𝘅𝘁!

A huge thank you to everyone who joined the pilot of the 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗢𝗳𝗳𝗶𝗰𝗲 𝗛𝗼𝘂𝗿

Data Science time capsule: Predictions for the next 5 yrs
Key trends shaping Data Science and ML by 2029 📅

1. Democratization of Data