Data Analytics and Visualization Capstone Project

Course Description

Welcome to the Data Analytics and Visualization Capstone Project, an exciting opportunity to put your data analysis skills to the test in a real-world scenario! This course is designed to simulate the experience of an Associate Data Analyst who has just joined a company. You'll have the chance to apply the knowledge and techniques you've acquired throughout the IBM Data Analytics Professional Certificate program to tackle genuine business challenges using actual datasets.

What Students Will Learn

• Data collection techniques, including web scraping and API usage
• Advanced data wrangling skills in Excel
• Statistical analysis and interpretation of data distributions
• Creation of compelling visualizations to showcase data relationships
• Dashboard design using IBM Cognos Analytics
• Presentation skills to effectively communicate findings to stakeholders

Pre-requisites

While there are no specific prerequisites listed, it's recommended that students have a basic understanding of data analysis concepts and tools. Familiarity with Excel and some exposure to data visualization techniques would be beneficial.

Course Coverage

• Web scraping and API data collection methods
• Data cleaning and normalization in Excel
• Statistical analysis techniques
• Data visualization principles and practices
• Dashboard creation using IBM Cognos Analytics
• Presentation design and delivery
• Real-world application of data analysis skills

Target Audience

This course is ideal for:

• Aspiring data analysts looking to gain practical experience
• Students who have completed other courses in the IBM Data Analytics Professional Certificate
• Professionals seeking to transition into a data analysis role
• Anyone interested in enhancing their data visualization and presentation skills

Real-World Application

The skills acquired in this course are directly applicable to various industries and roles. Learners will be able to:

• Collect and analyze data from diverse sources to inform business decisions
• Create visually appealing and informative dashboards for stakeholders
• Present data-driven insights effectively to both technical and non-technical audiences
• Apply data analysis techniques to solve real-world business problems
• Enhance their marketability in the growing field of data analytics

Syllabus Overview

1. Introduction to the capstone project and business scenario
2. Data collection phase using web scraping and APIs
3. Data cleaning and preparation in Excel
4. Exploratory data analysis and statistical interpretation
5. Creation of visualizations to represent data insights
6. Dashboard design and implementation using IBM Cognos Analytics
7. Preparation and delivery of a final presentation
8. Course wrap-up and reflection on learned skills