By completing this final capstone project you will apply various Data Analytics skills and techniques that you have learned as part of the previous courses in the IBM Data Analyst Professional Certificate. You will assume the role of an Associate Data Analyst who has recently joined the organization and be presented with a business challenge that requires data analysis to be performed on real-world datasets.

You will perform the various tasks that professional data analysts do as part of their jobs, including:

Data collection from multiple sources

Data wrangling and data preparation

Exploratory data analysis

Statistical analysis and data mining

Data visualization with different charts and plots, and

Interactive dashboard creation.

The project will culminate with a presentation of your data analysis report for various stakeholders in the organization. The report will include an executive summary, your analysis, and a conclusion. You will be assessed on both your work for the various stages in the Data Analysis process, as well as the final deliverable.

As part of this project you will demonstrate your proficiency with using Jupyter Notebooks, SQL, Relational Databases (RDBMS), Business Intelligence (BI) tools like Cognos, and Python Libraries such as Pandas, Numpy, Scikit-learn, Scipy, Matplotlib, Seaborn and others.

Level: Intermediate
Recommended Experience: Intermediate level
Duration: Approximately 17 hours
Flexible Scheduling: Learn at your own pace