IBM Data Analyst Capstone Project

Project Verification

You can verify this project on Coursera using the following link:

IBM Data Analyst Capstone Project - Coursera Verification

Project Overview

This project simulates a professional scenario where you work as a Data Analyst for a global IT and business consulting services firm. The objective is to analyze and identify emerging skills in the IT industry, focusing on programming languages, database technologies, and popular Integrated Development Environments (IDEs).

The project involves collecting and analyzing data from various sources to provide actionable insights, supported by a dashboard and a presentation.

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Project Objectives

• Data Collection: Gather data on in-demand programming skills from job postings, training portals, and surveys.
• Data Wrangling: Clean and transform the data into a format suitable for analysis.
• Exploratory Data Analysis: Identify trends and insights into programming languages, database skills, and IDEs.
• Data Visualization: Present the data through meaningful visualizations.
• Dashboard Creation: Use IBM Cognos Analytics to create an interactive dashboard.
• Storytelling: Communicate findings effectively through a presentation.

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Key Features

1. Web Scraping and API Integration:

   • Collect data from multiple sources in formats such as .csv, .xlsx, and databases.

2. Data Preparation:

   • Apply data wrangling techniques to clean and preprocess raw data.

3. Statistical Analysis:

   • Use Python libraries to perform exploratory data analysis and uncover trends.

4. Visualization and Dashboarding:

   • Create visualizations with Python and IBM Cognos Analytics for intuitive insights.

5. Presentation:

   • Summarize findings in a PowerPoint presentation to demonstrate storytelling skills.

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Skills Demonstrated

• Data Collection: Scraping websites and accessing APIs.
• Data Wrangling: Cleaning and transforming data.
• Exploratory Data Analysis: Identifying patterns and trends.
• Data Visualization: Creating meaningful charts and graphs.
• Dashboard Creation: Building interactive dashboards with IBM Cognos Analytics.

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Tools Used

• Programming Language: Python
• Visualization and Dashboarding: IBM Cognos Analytics
• Presentation Software: PowerPoint

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Project Workflow

1. Data Collection:

   • Use Python to scrape websites and work with APIs.
   • Gather data in different formats like .csv and .xlsx.

2. Data Wrangling:

   • Clean the data by handling missing values and inconsistencies.
   • Transform the data into an analysis-ready format.

3. Exploratory Data Analysis:

   • Analyze data trends using statistical techniques.
   • Identify the most in-demand programming languages, database skills, and IDEs.

4. Visualization and Insights:

   • Create visualizations in Python for data interpretation.
   • Use IBM Cognos Analytics for an interactive dashboard.

5. Final Presentation:

   • Compile insights into a PowerPoint presentation.
   • Share findings and recommendations effectively.

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Outcomes

• A comprehensive report identifying top in-demand skills in the IT industry.
• An interactive dashboard showcasing insights.
• A professional presentation summarizing findings and recommendations.

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How to Run the Project

1. Clone this repository:

   git clone https://github.com/yourusername/ibm-data-analyst-capstone.git
   

2. Install the required Python libraries:

   pip install -r requirements.txt
   

3. Run the Python scripts for data collection and wrangling:

   python data_collection.py
   python data_wrangling.py
   

Final Presentation

See the Findings-Report-Presentation pdf!

About the Project

This project was completed as part of the IBM Data Analyst Capstone Project.

Author

Md Kaif

Acknowledgments

• IBM for the capstone project framework.
• Coursera for providing the learning platform and resources.