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Course Content
Introduction to Data Analytics
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What is Data Analytics?
Definition & Importance
Types: Descriptive, Diagnostic, Predictive, Prescriptive
Career Paths in Data Analytics
The Data Analytics Process
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Define the Problem
Collect Data
Process Data
Analyze Visualize and Interpret
Tools and Technologies Overview
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Excel, SQL, Python/R
Tableau / Power BI J
upyter Notebooks, Google Sheets
Data Sources and Formats
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Databases, APIs, CSVs, Excel
Structured vs Unstructured Data
Handling Missing Values, Duplicates
Data Types and Conversions
Outliers and Anomalies
Functions: VLOOKUP, INDEX-MATCH, IF, SUMIF, etc.
Pivot Tables and Charts
Data Validation and Conditional Formatting
Data Analytics
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