EDA, ETL and Tableau - Data Science Current

Turn the face of your business from chaos to clarity

Dataconomy

JULY 28, 2023

Exploratory data analysis (EDA) Before preprocessing data, conducting exploratory data analysis is crucial to understand the dataset’s characteristics, identify patterns, detect outliers, and validate missing values. EDA provides insights into the data distribution and informs the selection of appropriate preprocessing techniques.

Power BI

Power BI Data Preparation Exploratory Data Analysis Machine Learning

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

Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. 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. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineer

Data Engineer Data Engineering Data Engineering Data Engineering

Data Science Current

Turn the face of your business from chaos to clarity

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

Webinars

Stay Connected