Objective

Transform raw data into meaningful insights that support decision-making.

Topics Covered

  1. Data Cleaning & Preparation
    • Managing incomplete, duplicate, and inconsistent data
  2. Data Processing & Transformation Techniques
    • Structuring and preparing data for analysis
  3. Introduction to Data Analysis
    • Descriptive and diagnostic analytics concepts
  4. Data Visualization Fundamentals
    • Charts, dashboards, and reporting methods
  5. Analytics & Reporting Tools
    • Microsoft Excel and Power BI basics
  6. Data Interpretation for Decision-Making
    • Converting insights into business actions

Activity

Analyze, clean, and visualize a sample dataset using basic analytics tools.