Notebooks and capstone project completed as part of the IBM Data Analyst Professional Certificate on Coursera — covering the full data analysis pipeline from wrangling to visualization.
This repository contains the hands-on labs and final project produced throughout the IBM Data Analyst Professional Certificate. The work covers the core skills expected of a junior data analyst: cleaning messy datasets, exploring patterns through statistical analysis, and communicating findings through charts and interactive dashboards.
All notebooks are written in Python. The capstone dashboard was built with IBM Cognos Analytics.
| File | Description |
|---|---|
M2DataWrangling-lab.ipynb |
Data cleaning and transformation — handling missing values, type casting, normalization |
M3ExploratoryDataAnalysis-lab.ipynb |
EDA — statistical summaries, correlation analysis, distribution exploration |
M4DataVisualization-lab.ipynb |
Data visualization — charts and plots with Matplotlib and Seaborn |
Data analyst project - Cognos dashboard.pdf |
Capstone project — interactive dashboard built in IBM Cognos Analytics |
- Data Wrangling — cleaning, filtering, transforming raw datasets with Pandas
- Exploratory Data Analysis — descriptive statistics, outlier detection, correlation
- Data Visualization — Matplotlib, Seaborn, storytelling through visuals
- Dashboard Design — IBM Cognos Analytics, KPI design, interactive reporting
Python · Pandas · NumPy · Matplotlib · Seaborn · Jupyter Notebook · IBM Cognos Analytics
This work was completed as part of the IBM Data Analyst Professional Certificate — a 9-course program offered by IBM on Coursera, covering Excel, SQL, Python, data visualization, and business intelligence tools.
View the certification on Coursera →
- IBM Data Analyst Certificate — Coursera
- Pandas documentation
- Matplotlib documentation
- IBM Cognos Analytics
This project was completed as part of the IBM Data Analyst Professional Certificate on Coursera.