Employers look for practical experience on a resume. If you’re an aspiring data scientist, data analyst, or other data professional, you need hands-on examples of your skills to catch their eye. This capstone project allows you to hone your data analytics skills and techniques through a real-world challenge you can include in your portfolio and discuss in interviews.

As you work through the project, you'll use a wide range of in-demand data analysis skills, including using Jupyter Notebooks, SQL, relational databases (RDBMS), business intelligence (BI) tools like Cognos, and Python libraries, such as Pandas, Numpy, Scikit-learn, Scipy, Matplotlib, and Seaborn.

Then, at the end of the project, you’ll present a data analysis report to the key stakeholders in the fictional company. Your report will feature an executive summary, a detailed analysis, and a conclusion.

Once you’ve successfully completed the course, you’ll have an impressive project to add to your job portfolio.

Enroll today and get ready to add valuable practical experience to your resume that employers look for!

Course Syllabus

Module 1: Data Collection
Module 2: Data Wrangling
Module 3: Exploratory Data Analysis
Module 4: Data Visualization
Module 5: Building a Dashboard
Module 6: Final Assignment: present your findings

Learning Objectives

Use diverse techniques to gather and process data
Display your data analysis and visualization expertise
Produce a data analysis report and engaging presentation
Show mastery of various Python libraries

Recommended Skills Prior to Taking this Course

This is an intermediate-level course. We, therefore, recommend that you complete the Analyzing Data with Python course and Python Basics for Data Science course before starting this one. All these courses are part of the IBM Data Analyst Professional Certificate.

Capstone Project: Analyzing and Visualizing Data

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