Best Linkedin posts about Data Scientist
This is our collection of Linkedin posts about Data Scientist
Data science is a rapidly evolving field that involves the use of advanced tools and techniques to extract meaningful insights from data. It enables us to make better decisions based on evidence-based research, improve processes, and create new products or services.
With the help of data science, organizations can uncover hidden trends and patterns in their data that will lead to better decision-making, improved customer experience, and more efficient operations.
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The best Linkedin posts about Data Scientist
After you're done reading these, make sure to also check our Best Linkedin posts about Python and Best Javascript Linkedin posts.
@marcgilivicioso
After you become a Data Analyst you should also learn about the roles of the team you're working with to better understand the
@borakizil
Let's talk about data labeling. Any data scientist knows the huge difficulty to get enriched data with labels and annotations. Get in touch
@oludare-bagbile
One of the most interesting things for me about being a Data Scientist is the opportunity it gives me to work in different
@danielle-blake1
Last week I shared a poll with my network about preferred programming languages for Data Scientists....
And the results were almost unanimous - 93%
@timkreienkamp
💡 The Most Important Thing in #MarketingMixModeling 🤓
Ask any Junior Data Scientist about the most important part in any Data Science excercise
@witoldwojtowicz
I'm super excited about this. My first "project" at Databricks was to build notebooks for data scientists. But we had debates forever whether
@jackiezhangcs
I'm super excited about this. My first "project" at Databricks was to build notebooks for data scientists. But we had debates forever whether
@perryroberth
I'm super excited about this. My first "project" at Databricks was to build notebooks for data scientists. But we had debates forever whether
@sabrikaragonen
Every conversation with a data scientist begins the same way: complaints about the state of their data quality. Ensuring high-quality data is crucial
@neha-jain-279b80118
𝐌𝐲 Microsoft 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐏𝐫𝐨𝐜𝐞𝐬𝐬
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𝐂𝐮𝐫𝐢𝐨𝐮𝐬 𝐚𝐛𝐨𝐮𝐭 𝐰𝐡𝐚𝐭 𝐢𝐭 𝐭𝐚𝐤𝐞𝐬 𝐭𝐨 𝐛𝐞𝐜𝐨𝐦𝐞 𝐚 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 𝐚𝐭 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭? 𝐇𝐞𝐫𝐞’𝐬 𝐚 𝐪𝐮𝐢𝐜𝐤 𝐨𝐯𝐞𝐫𝐯𝐢𝐞𝐰 𝐨𝐟 𝐭𝐡𝐞
@amney-mounir
These are the 3 things companies care about when they hire you as a Data Scientist (or Data Analyst):
Can you help them earn
@hakimelakhrass
last week I ran a poll about who owns data quality.
To my surprise 35% of data scientist responded that the Data Science
@saurabhmoody
If this is day 9/60 in the life of a busy data scientist, think about what’s possible in 60 days.
As busy professionals, we
@nirmal-budhathoki
𝗧𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗮𝗯𝗼𝘂𝘁 𝗮 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗰𝗮𝗿𝗲𝗲𝗿 𝗮𝘁 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁?
Well thinking it only wont do much but taking action will 😆
@tommitchelldata
Everyone talks about:
- Data Analyst
- Data Scientist
- Data Engineer
- Business Analyst
@steven-stark
Do you know what the hardest thing about being a data scientist is?
It’s not the technical aspect.
It’s not understanding the business.
It’s showing up
@hakimelakhrass
what is one of the most important topics you need to understand as a data scientist?
metrics.
the metric you pick can define the success
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