Remove Big Data Analytics Remove Clustering Remove Hypothesis Testing
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A Guide to Choose the Best Data Science Bootcamp

Data Science Dojo

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud.

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Big Data Syllabus: A Comprehensive Overview

Pickl AI

Additionally, students should grasp the significance of Big Data in various sectors, including healthcare, finance, retail, and social media. Understanding the implications of Big Data analytics on business strategies and decision-making processes is also vital.

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Introduction to R Programming For Data Science

Pickl AI

The programming language can handle Big Data and perform effective data analysis and statistical modelling. Hence, you can use R for classification, clustering, statistical tests and linear and non-linear modelling. How is R Used in Data Science?