Apache Hadoop, Data Wrangling and Hypothesis Testing

Best Resources for Kids to learn Data Science with Python

Pickl AI

MAY 31, 2023

Accordingly, you need to make sense of the data that you derive from the various sources for which knowledge in probability, hypothesis testing, regression analysis is important. It is critical for knowing how to work with huge data sets efficiently. Also Read: How to become a Data Scientist after 10th?

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Introduction to R Programming For Data Science

Pickl AI

JULY 10, 2023

R’s data manipulation capabilities make cleaning and preprocessing data easy before further analysis. · Statistical Analysis: R has a rich ecosystem of packages for statistical analysis. Most common R Libraries for Data Science In Data Science, you can find several R Libraries and perform different tasks.

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Best Resources for Kids to learn Data Science with Python

Introduction to R Programming For Data Science

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