May 25, 2023, 9:36 a.m. | Mwenda Harun Mbaabu

DEV Community dev.to



Introduction


In today's data-driven world, the demand for skilled data analysts is soaring. Companies across industries rely on data analysis to gain insights, make informed decisions, and drive business growth.


To embark on a successful data analysis career, it is crucial to acquire a solid foundation in the technologies and tools used in the industry.

In this article, we will explore the most important technologies that aspiring data analysts should learn to excel in their careers.



1). Python Programming.


Python …

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Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

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@ Cere Network | San Francisco, US