Mathematics and Statistics
Mathematics and statistics play a fundamental role in data science. They provide the mathematical and statistical foundations necessary for understanding and working with data, analyzing patterns, and making data-driven decisions. Here’s a breakdown of mathematics and statistics in data science: Mathematics: Statistics: Understanding mathematics and statistics enables data scientists to employ rigorous and principled approaches […]
Exploratory Data Analysis
Exploratory Data Analysis (EDA) is an essential step in the data science process. It involves analyzing and visualizing data to understand its underlying patterns, distributions, and relationships before applying any specific statistical or machine learning techniques. EDA helps in gaining insights, identifying anomalies, and forming hypotheses about the data. Here are some key techniques and […]