Remove EDA Remove Hypothesis Testing Remove Power BI
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Data Analysis vs. Data Visualization – More Than Just Pretty Charts

Pickl AI

Exploratory Data Analysis (EDA): Using statistical summaries and initial visualisations (yes, visualisation plays a role within analysis!) Hypothesis Testing: Formally testing assumptions or theories about the data using statistical methods to determine if observed patterns are statistically significant or likely due to chance.

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

Pickl AI

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. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc.