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How to Work Smarter, Not Harder, with Artificial Intelligence

Flipboard

Understanding AI ethics, cloud computing, and communication skills ensures responsible, scalable, and collaborative AI solutions that align with societal and business needs. Exploratory Data Analysis (EDA): Identifying patterns, trends, and anomalies in data to guide model development and improve decision-making.

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Data Science Career FAQs Answered: Educational Background

Mlearning.ai

This includes skills in data cleaning, preprocessing, transformation, and exploratory data analysis (EDA). Check out this course to upskill on Apache Spark —  [link] Cloud Computing technologies such as AWS, GCP, Azure will also be a plus.

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Roadmap to Learn Data Science for Beginners and Freshers in 2023

Becoming Human

For Data Analysis you can focus on such topics as Feature Engineering , Data Wrangling , and EDA which is also known as Exploratory Data Analysis. First learn the basics of Feature Engineering, and EDA then take some different-different data sheets (data frames) and apply all the techniques you have learned to date.