Remove Data Mining Remove Exploratory Data Analysis Remove Hypothesis Testing
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Exploring Different Types of Data Analysis: Methods and Applications

Pickl AI

Role in Extracting Insights from Raw Data Raw data is often complex and unorganised, making it difficult to derive useful information. Data Analysis plays a crucial role in filtering and structuring this data. The primary purpose of EDA is to explore the data without any preconceived notions or hypotheses.

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Why Python is Essential for Data Analysis

Pickl AI

Statsmodels Allows users to explore data, estimate statistical models, and perform statistical tests. It is particularly useful for regression analysis and hypothesis testing. Pingouin A library designed for statistical analysis, providing a comprehensive collection of statistical tests.

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Statistical Analysis- Types, Methods & Examples

Pickl AI

There are other types of Statistical Analysis as well which includes the following: Predictive Analysis: Significantly, it is the type of Analysis useful for forecasting future events based on present and past data. Moreover, it helps make informed decisions and encourages efficient decision-making processes.

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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.