Description

Course Highlights
Foundational Concepts
Introduction to the fundamentals of data analysis.

• Understanding the importance of data in decision-making processes.
• Data Collection and Data Collection and Preprocessing Techniques for acquiring and cleaning data.
• Exploring methods to handle missing or inconsistent data.

Statistical Analysis

• Statistical Learning both descriptive and inferential statistical methods.
• Applying statistical concepts to draw meaningful insights from data.

Data Visualization

• Using visualization tools to represent complex data.
•  Interpreting visualizations to communicate findings effectively.

Training Format:
-All materials are made available through our Online Learning Platform
-Students should commit approximately 5-6 hours of their time per week

Materials Provided:
Online delivery of curriculum materials, exercises and templates.
Assignments:
In order to demonstrate their understanding of the course content, students will be required to
submit assignments at the end of every month.