Schedule
Asynchronous
Delivery method
Online
0 credit hours
Credits awarded upon completion
Self-Paced
Progress at your own speed
26.95 hours
Estimated learning time
In an increasingly data-centric world, the ability to derive meaningful insights from raw data is essential. The IBM Data Analyst Capstone Project gives you the opportunity to apply the skills and techniques learned throughout the IBM Data Analyst Professional Certificate. Working with actual datasets, you will carry out tasks commonly performed by professional data analysts, such as data collection from multiple sources, data wrangling, exploratory analysis, statistical analysis, data visualization, and creating interactive dashboards. Your final deliverable will include a comprehensive data analysis report, complete with an executive summary, detailed insights, and a conclusion for organizational stakeholders.
Throughout the project, you will demonstrate your proficiency in tools such as Jupyter Notebooks, SQL, Relational Databases (RDBMS), and Business Intelligence (BI) tools like IBM Cognos Analytics. You will also apply Python libraries, including Pandas, Numpy, Scikit-learn, Scipy, Matplotlib, and Seaborn.
We recommend completing the previous courses in the Professional Certificate before starting this capstone project, as it integrates all key concepts and techniques into a single, real-world scenario.
This Course is part of a program
You can only buy it along with program.
Schedule
Asynchronous
Delivery method
Online
Earn necessary number of credit hours for completing this content
Such as Scatter Plots, Exploratory Data Analysis, Data Collection, Dashboard, Pandas (Python Package), Data Wrangling, Histogram, Data Analysis, Web Scraping, Data Presentation, IBM Cognos Analytics, Data Manipulation, Data Cleansing, Data Storytelling, Statistical Analysis, Box Plots
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