Understanding the Fundamentals of Data Science
Data science is an interdisciplinary field that uses computer science, statistical techniques, and domain knowledge to draw conclusions and information from data. The goal is to transform unprocessed data into useful knowledge. Fundamental Ideas Here are some essential ideas to understand: 1. Data Gathering and Preparation: Data Sources: Recognizing the locations of data sources (web scraping, databases, APIs, etc.). Data Cleaning: Taking care of formatting problems, outliers, missing values, and inconsistencies. 2. Data Visualization and Exploration: Descriptive Statistics: Using metrics like standard deviation, mean, median, and mode to summarize data. Data Visualization: Using charts and graphs to create visual aids for understanding patterns. Finding trends, patterns, or abnormalities in data is the goal of exploratory data analysis (EDA). 3. Statistical Techniques: Probability : Determining the chance of an occurrence. Using sample data to draw conclus...