Remove Cloud Computing Remove Clustering Remove Data Wrangling
article thumbnail

Top 10 Data Science Interviews Questions and Expert Answers

Pickl AI

Data Wrangling and Cleaning Interviewers may present candidates with messy datasets and evaluate their ability to clean, preprocess, and transform data into usable formats for analysis. Clustering algorithms such as K-means and hierarchical clustering are examples of unsupervised learning techniques.

article thumbnail

Strategies for Transitioning Your Career from Data Analyst to Data Scientist–2024

Pickl AI

Data Analyst to Data Scientist: Level-up Your Data Science Career The ever-evolving field of Data Science is witnessing an explosion of data volume and complexity. Prioritize Data Quality Implement robust data pipelines for data ingestion, cleaning, and transformation.

article thumbnail

Roadmap to Learn Data Science for Beginners and Freshers in 2023

Becoming Human

There is a position called Data Analyst whose work is to analyze the historical data, and from that, they will derive some KPI s (Key Performance Indicators) for making any further calls. For Data Analysis you can focus on such topics as Feature Engineering , Data Wrangling , and EDA which is also known as Exploratory Data Analysis.