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. Big Data: Apache Hadoop, Apache Spark. Cloud Platforms: AWS, Microsoft Azure, Google Cloud Platform. Data Manipulation: Pandas, NumPy, dplyr.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

Mlearning.ai

MAY 23, 2023

This includes skills in data cleaning, preprocessing, transformation, and exploratory data analysis (EDA). Check out this course to upskill on Apache Spark —  [link] Cloud Computing technologies such as AWS, GCP, Azure will also be a plus. Familiarity with libraries like pandas, NumPy, and SQL for data handling is important.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

JULY 25, 2023

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. ETL Tools: Apache NiFi, Talend, etc. Big Data Processing: Apache Hadoop, Apache Spark, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52