Is Tableau worth learning if my goal is to find work as a data scientist?

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Data Analyst with 10 years of experience in Fintech, Product ,and IT Services

Tableau is a valuable skill for data scientists, but not the most important. Here's why: Great for presenting findings: Tableau lets you create clear, interactive visualizations of your data science work. This is crucial for communicating insights to non-technical audiences. Less emphasis...
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Tableau is a valuable skill for data scientists, but not the most important. Here's why: Great for presenting findings: Tableau lets you create clear, interactive visualizations of your data science work. This is crucial for communicating insights to non-technical audiences. Less emphasis on core skills: Data science involves a lot of data wrangling, machine learning, and coding (Python is common). Tableau focuses more on presenting data, not the deep analysis. In short: Learn Tableau to complement your data science skills, but prioritize coding and core data analysis techniques for the job. read less
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Data Analyst with 10 years of experience in Fintech, Product ,and IT Services

Imagine Tableau as a fancy translator for your data science findings. It lets you turn complex numbers into clear charts and graphs, perfect for explaining things to others. But to get that data in the first place, you'll need coding skills like Python. Learn Tableau to showcase your work, but coding...
read more
Imagine Tableau as a fancy translator for your data science findings. It lets you turn complex numbers into clear charts and graphs, perfect for explaining things to others. But to get that data in the first place, you'll need coding skills like Python. Learn Tableau to showcase your work, but coding is key for the data science job itself. read less
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