Exploratory Data Analysis, Hypothesis Testing and Predictive Analytics

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Exploratory Data Analysis

Hypothesis Testing

Predictive Analytics

From Data to Decisions: Deep Dive into Workshop Learnings

Women in Big Data

APRIL 17, 2024

Learning Objectives Recap: Paradigms in Data Science: We explored the two main paradigms in data science: descriptive analytics (understanding what happened in the past) and predictive analytics (using models to forecast future outcomes).

Exploratory Data Analysis

Exploratory Data Analysis EDA Machine Learning Machine Learning

Why Python is Essential for Data Analysis

Pickl AI

AUGUST 27, 2024

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.

Data Analysis

Data Analysis Data Analysis Python Data Analyst

Exploring Different Types of Data Analysis: Methods and Applications

Pickl AI

OCTOBER 14, 2024

Exploratory Data Analysis (EDA) Exploratory Data Analysis (EDA) is an approach to analyse datasets to uncover patterns, anomalies, or relationships. The primary purpose of EDA is to explore the data without any preconceived notions or hypotheses.

Data Analysis

Data Analysis Data Analysis EDA Data Mining

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From Data to Decisions: Deep Dive into Workshop Learnings

Why Python is Essential for Data Analysis

Exploring Different Types of Data Analysis: Methods and Applications

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