Pickl AI

JUNE 5, 2025

Exploratory Data Analysis (EDA): Identifying trends, patterns, and anomalies using statistical tools to understand data characteristics and inform modeling strategies. SQL remains crucial for database querying, especially given India’s large IT services ecosystem. Visualization: Tableau, Power BI, Matplotlib, Seaborn.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

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 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

APRIL 3, 2025

Exploratory Data Analysis (EDA): Using statistical summaries and initial visualisations (yes, visualisation plays a role within analysis!) EDA: Calculate overall churn rate. It involves handling missing values, correcting errors, removing duplicates, standardizing formats, and structuring data for analysis.

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52