Remove Computer Science Remove EDA Remove Hypothesis Testing
article thumbnail

Understanding Data Science and Data Analysis Life Cycle

Pickl AI

Understanding Data Science Data Science involves analysing and interpreting complex data sets to uncover valuable insights that can inform decision-making and solve real-world problems. It combines elements of statistics, mathematics, computer science, and domain expertise to extract meaningful patterns from large volumes of data.

article thumbnail

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

Pickl AI

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. Statistical Analysis: Hypothesis testing, probability, regression analysis, etc. in fields like Computer Science, Statistics, or related disciplines.

article thumbnail

Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

A/B Testing: A statistical method for comparing two versions of a variable to determine which one performs better. Artificial Intelligence (AI): A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence.