Learn the fundamentals of analyzing and visualizing data.
Data analysis is the process of inspecting, cleansing, transforming, and interpreting data to discover useful insights, trends, and patterns. Businesses, researchers, and decision-makers rely on data analysis to make informed choices, improve efficiency, and drive innovation.
Data can be collected from various sources such as surveys, databases, web scraping, and APIs.
Cleaning data includes removing duplicates, handling missing values, and standardizing formats.
Descriptive statistics, visualizations, and correlations help make sense of the data.
Graphs, charts, and dashboards make complex data easy to interpret.
Find trends and use insights to support decision-making.
Explore tools like Excel, Python, Power BI, and SQL to enhance your data analysis skills.