The objective of this project is to:

Clean, analyze, and visualize trends in a dataset (e.g., city bike rentals, survey data).

Desired outcomes by the end of the project:

• Explain the importance of data in a digital world
• Differentiate between unstructured and structured data
• Identify the purpose of a database
• Differentiate between quantitative and qualitative data
• Describe the five V’s of big data
• Describe the four types of data analytics
• Explain the work involved in each step of the data analysis process
• Identify the purpose of a data visualization
• Recognize different charts to display data visualizations in the best way

• Recognize the global demand for data analysts and data scientists in the job market
• Recognize the future of the field of data analytics
• Identify industries in which data professionals work
• Identify the primary responsibilities of a data analyst and data scientist
• Identify the skills that data professionals need
• Identify the tools to know when starting out in the field
• Identify resources to learn more and stay up to date in the field of data science

Recommended IBM SkillsBuild course(s):

Overview of Data Tools and Languages

Your Future in Data: The Job Landscape

By the end of the project, examples of outcomes are:

• Remove duplicates, normalize values, create calculated fields.
• Design 3–5 meaningful visualizations.
• Extract simple insights and actionable recommendations.

Final deliverables should include:

1. Clean dataset (CSV or Excel) with documentation

2. One dashboard (PDF or link) with 3–5 interactive visuals

3. Summary insights report (2–3 pages)