Apache Hadoop, Hypothesis Testing and Tableau

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Apache Hadoop

Hypothesis Testing

Tableau

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

Pickl AI

JULY 25, 2023

Statistical Analysis: Hypothesis testing, probability, regression analysis, etc. Data Visualization: Matplotlib, Seaborn, Tableau, etc. Big Data Technologies: Hadoop, Spark, etc. ETL Tools: Apache NiFi, Talend, etc. Big Data Processing: Apache Hadoop, Apache Spark, etc.

Data Engineering

Data Engineering Data Engineer Data Engineering Data Engineering

Introduction to R Programming For Data Science

Pickl AI

JULY 10, 2023

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.

Data Science

Data Science Data Scientist Machine Learning Machine Learning

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. Statistical skills: having a clear idea regarding the procedures of different tasks requires you to have a thorough understanding of statistics.

Data Science

Data Science Python Data Scientist Machine Learning

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

Introduction to R Programming For Data Science

Best Resources for Kids to learn Data Science with Python

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