Key Areas Of Data Science
Key Areas Of Data Science ✌ Data science encompasses several key areas that are essential for effective data analysis and decision-making. Here are some of the key areas within data science: 1. Data Collection and Cleaning: Data scientists must be proficient in gathering data from various sources, such as databases, APIs, web scraping, or sensor networks. They also need to clean and preprocess the data to ensure its quality, removing any inconsistencies, errors, or missing values. 2. Exploratory Data Analysis (EDA): EDA involves exploring and understanding the data through statistical methods and visualization techniques. It helps identify patterns, relationships, and outliers in the data, which can guide further analysis and modeling. 3. Statistical Analysis: Statistical analysis is a fundamental component of data science. It involves applying statistical techniques to analyze data, test hypotheses, and make inferences. This includes descriptive statistics, hypothesis testing, re...