Data analytics is the process of examining, transforming, and interpreting raw data to uncover meaningful insights

Data analytics is the process of examining, transforming, and interpreting raw data to uncover meaningful insights, trends, and patterns that can inform decision-making. It involves using various tools, techniques, and methodologies to process data and extract valuable information that can help businesses and organizations make data-driven decisions

• In the data collection phase, data is gathered from various sources such as databases, surveys, or
• This data is often unstructured or messy, requiring cleaning and preprocessing to remove errors
• Once the data is cleaned, analysts use statistical methods

Data visualization is a crucial part of analytics, where data is presented in charts, graphs, and dashboards to make the insights more accessible and easier to understand. Tools like Excel, Tableau, and Python libraries (e.g., Matplotlib, Pandas) are commonly used for this purpose.

As the world becomes more data-driven, industries such as healthcare, finance, marketing, and retail increasingly rely on data analytics to gain competitive advantages and make informed strategic decisions.