Title: Data Analytics and Visualization Capstone Project

Location: US

Company: IBM

About this course:
As businesses are increasingly moving toward data-driven decision-making, the ability to derive meaningful insights from raw data is becoming all the more 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. You will be working on a project simulating a real-life scenario with actual datasets. The project would involve carrying 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.
Throughout the project, you will demonstrate your proficiency in tools such as Jupyter Notebooks, SQL, and Relational Databases Management System (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.
Your final deliverable will be a comprehensive data analysis report that includes an executive summary, detailed insights, and a conclusion for organizational stakeholders.
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.

Apply techniques to gather and wrangle data from multiple sources.

Analyze data to identify patterns, trends, and insights through exploratory techniques.

Create visual representations of data using Python libraries to communicate findings effectively.

Construct interactive dashboards with BI tools to present and explore data dynamically.

Showcase your data analysis skills to prospective employers by carrying out common tasks performed by data analysts on a data set simulating a real-life business scenario and creating a comprehensive data analysis report.

Duration: 6 weeks

Skills:
- Business Intelligence
- Dashboard
- Data Analysis
- Data Collection
- Data Visualization
- Data Wrangling
- Data-Driven Decision Making
- IBM Cognos Business Intelligence
- Jupyter
- Matplotlib (Python Package)
- NumPy (Python Package)
- Pandas (Python Package)
- Preparing Executive Summaries
- Presentations
- Python (Programming Language)
- Relational Database Management Systems
- Relational Databases
- SQL (Programming Language)
- SciPy
- Scikit-Learn (Python Package)
- Seaborn
- Statistical Analysis

Curriculum:
- Module 1: Data Collection
- Module 2: Data Wrangling
- Module 3: Exploratory Data Analysis
- Module 4: Data Visualization
- Module 5: Dashboard Creation

- Module 6: Presentation of Findings