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Introduction to R Programming For Data Science

Pickl AI

It provides functions for descriptive statistics, hypothesis testing, regression analysis, time series analysis, survival analysis, and more. Packages like dplyr, data.table, and sparklyr enable efficient data processing on big data platforms such as Apache Hadoop and Apache Spark.

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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

Statistical Analysis: Hypothesis testing, probability, regression analysis, etc. Read Blog Data Engineering Interview Questions and Answers Role of Data Engineers Data Engineers are the architects of data infrastructure. ETL Tools: Apache NiFi, Talend, etc. Big Data Processing: Apache Hadoop, Apache Spark, etc.

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Best Resources for Kids to learn Data Science with Python

Pickl AI

Some of the top Data Science courses for Kids with Python have been mentioned in this blog for you. 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. Read below to find out!