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Business Analytics uses data, statistics, and analytical tools to identify trends, solve business problems, and support better decision-making. Tools like Excel, SQL, Power BI, and Python are commonly used.
The four types are Descriptive, Diagnostic, Predictive, and Prescriptive Analytics. They explain what happened, why it happened, what may happen, and what action should be taken.
SQL helps analysts retrieve, filter, join, and analyze data stored in databases. It is commonly used to generate reports, calculate business metrics, and find useful patterns in data.
INNER JOIN returns only matching records from both tables. LEFT JOIN returns all records from the left table along with matching records from the right table.
First, I would identify missing, duplicate, or incorrect values and understand their cause. Then I would clean, replace, or remove the data as appropriate and validate the dataset.
Power BI is a business intelligence and data visualization tool used to create interactive reports and dashboards. It helps businesses understand trends and make data-driven decisions.
I would explain the insight using simple business language, supported by an easy-tounderstand chart or dashboard. I would focus on the business impact and recommended action rather than technical details.
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