What will you learn in IBM Data Analyst Capstone Project Course
Apply all stages of the data analysis process on a real-world dataset.
Use tools like Jupyter Notebook, SQL, Python, and Excel for analysis.
Practice data wrangling, exploratory analysis, visualization, and insights reporting.
Strengthen your portfolio with a hands-on data analytics project.
Program Overview
Module 1: Introduction and Project Scenario
⏱️ 1 week
Topics: Understanding the business problem, project overview
- Hands-on: Review the dataset and define project objectives
Module 2: Data Wrangling and Preprocessing
⏱️ 1 week
Topics: Cleaning, formatting, handling missing values, data validation
Hands-on: Use Python and Pandas to prepare the dataset
Module 3: Exploratory Data Analysis (EDA)
⏱️ 1 week
Topics: Identifying patterns, trends, and outliers
Hands-on: Use descriptive statistics and data visualization (Matplotlib/Seaborn)
Module 4: Data Visualization and Reporting
⏱️ 1 week
Topics: Visual storytelling, dashboard creation, summarizing insights
Hands-on: Generate compelling charts and write a project report in Jupyter Notebook
Module 5: Final Project Submission
⏱️ 1 week
Topics: Peer-reviewed assignment with full documentation
Hands-on: Submit your complete analysis notebook with insights and recommendations
Get certificate
Job Outlook
Capstone projects are highly valued by employers to demonstrate practical, job-ready skills.
Data Analyst roles continue to grow in finance, marketing, healthcare, and tech industries.
Salary ranges from $60,000 to $120,000 depending on region and experience.
Strong portfolios are crucial for freelancers and job-seekers in analytics fields.
Specification: IBM Data Analyst Capstone Project
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