Exploring Data with IBM Cognos Analytics
The IBM Data Analyst Capstone Project is designed to provide hands-on experience in data collection, wrangling, exploratory data analysis, data visualization, dashboard creation, and presentation of findings using IBM Cognos Analytics. Throughout the project, I gained proficiency in various data analysis techniques and tools, culminating in the creation of insightful visualizations and dashboards.
Key Learnings
- Data Preparation:
- Collecting data using APIs and web scraping techniques.
- Finding and handling missing values, identifying and removing duplicates, and normalizing data in Excel and Python.
- Data Exploration:
- Understanding the distribution, outliers, and correlation within the dataset using Python.
- Data Visualization:
- Creating visualizations to understand the distribution of data.
- Exploring relationships between variables in the dataset.
- Analyzing the composition of data elements.
- Comparing different aspects of the dataset.
- Dashboard Creation:
- Designing interactive dashboards using IBM Cognos Analytics and MS PowerPoint to present insights effectively.
Conclusion
The IBM Data Analyst Capstone Project provided a valuable opportunity to apply data analysis techniques and tools in a real-world scenario. Through hands-on experience with IBM Cognos Analytics, I gained proficiency in data exploration, visualization, and dashboard creation, empowering me to derive actionable insights and make informed decisions based on data-driven analysis.