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What's the DIFFERENCE Between Data Engineer, Analyst, and Scientist?

Chandoo 21,854 lượt xem 10 months ago
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Do you wonder what is the difference between a data analyst, engineer and scientist is? In this video, let me explain what these 3 roles are, what skills you need to get in, how the career path looks like, what is the typical salary and how the work feels. LET'S GO!

⏱ IN THIS VIDEO:
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0:00 - Data Engineer vs. Data Analyst vs. Data Scientist
0:35 - The rules
1:08 - What they do? DE vs. DA vs. DS
4:07 - Skills you need to be a Data Engineer
5:38 - Skills needed for Data Analyst
6:56 - Skills for Data Scientists
9:01 - Salaries for Data Engineer vs. Data Analyst vs. Data Scientist
11:24 - Career pathways for Data engineer / analyst / scientist
14:11 - People you work and how the work looks like
16:08 - Getting the skills

🎁 WANT MORE?
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If you want more, consider my paid courses. They are the best in the world when it comes to explaining complex data concepts in lucid and practical terms. Check out the courses using the links below and sign up today.

Essential Data Skills with Excel - https://chandoo.org/wp/excel-school-program/
Essential Data Skills with Power BI - https://chandoo.org/wp/power-bi-course/


📺 DATA PLAYLISTS
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Data Analyst vs. Business Analyst - What is the difference? - https://youtu.be/pIbL4aSUIas

Tech skills needed to be a data analyst: https://youtu.be/R3bZ0LLv3Fk
Data Analyst 3-month roadmap: https://youtu.be/x0Cd4TTOgwI
Day in the life of a Data Analyst: https://youtu.be/Lc55Y7Ai23Q
Top 10 Data Analyst interview questions: https://youtu.be/MX6Ee_ubE1s
7 critical mistakes to avoid in Data Analyst interviews: https://youtu.be/f7lBYh1_9BQ
5 Skills you need to be a GREAT data analyst: https://youtu.be/gVr9f1GJdZc


[Playlist] Data Analyst Skills: https://www.youtube.com/playlist?list=PLmejDGrsgFyDAWOAnEiK0P787q3grsk9R
[Playlist] Data Careers, Interview and Job Prep: https://www.youtube.com/playlist?list=PLmejDGrsgFyAw9Qya6SgrXfcfKCn7Va_D

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#dataengineer #datascientist #dataanalyst

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Data analyst: The glass is 50% full 🥛
Data scientist: The glass is over fitting the water 😎
Data Engineer: Somewhere a pipeline must have broken. Only half the water is loaded 🤔

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