Remove Data Mining Remove EDA 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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How To Learn Python For Data Science?

Pickl AI

Statistics Understand descriptive statistics (mean, median, mode) and inferential statistics (hypothesis testing, confidence intervals). These concepts help you analyse and interpret data effectively. It offers simple and efficient tools for data mining and Data Analysis.

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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.