AWS, EDA and Hypothesis Testing - Data Science Current

Roadmap to Learn Data Science for Beginners and Freshers in 2023

Becoming Human

MAY 15, 2023

In Inferential Statistics, you can learn P-Value , T-Value , Hypothesis Testing , and A/B Testing , which will help you to understand your data in the form of mathematics. For Data Analysis you can focus on such topics as Feature Engineering , Data Wrangling , and EDA which is also known as Exploratory Data Analysis.

Data Science

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

Pickl AI

JULY 25, 2023

Exploratory Data Analysis (EDA) EDA is a crucial step where Data Scientists visually explore and analyze the data to identify patterns, trends, and potential correlations. Statistical Analysis: Hypothesis testing, probability, regression analysis, etc. Cloud Platforms: AWS, Azure, Google Cloud, etc.

Data Engineering

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Data Science Current

Roadmap to Learn Data Science for Beginners and Freshers in 2023

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

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