Data Analysis

Description:
In this course, you will learn to bridge the gap between raw data and actionable insights. We focus on the Data Lifecycle: from initial cleaning and transformation to statistical modeling and high-impact visualization. You’ll move past just “looking at numbers” to identifying trends, spotting outliers, and predicting future outcomes. Whether you’re using Excel, SQL, or specialized BI tools, the goal is the same: to provide clarity in an era of information overload.

Course Duration: 36hrs

Prerequisites for Data Analysis:

1. Certificate in IT
2. SSCE

3. You don’t need a PhD in Statistics, but you do need a solid foundation:

   1. Basic Arithmetic: Comfort with percentages, averages, and ratios.

   2. Logical Reasoning: The ability to follow a “cause and effect” chain.

   3. Basic Excel: You should know how to open a spreadsheet and perform basic sums.

   4. Curiosity: A big part of data analysis is being a “data detective”—you have to enjoy digging for the truth.

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