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IBM Data Analyst Capstone Project (2024)

Final project for the IBM Data Analyst Professional Certificate.

Project Overview

This Capstone project aims to provide a practical application of the skills acquired throughout the IBM Data Analyst Professional Certificate program. By taking on the role of a Data Analyst at a global IT and Business Services firm, let's analyze various datasets to identify trends in emerging technologies.

Project Phases

• Data Collection (Module 1): Gather data on in-demand technology skills from sources like job postings, blog posts, and surveys.

• Data Wrangling (Module 2): Prepare the collected data for analysis by cleaning and organizing it. This includes tasks such as handling missing values, duplicates, and inconsistencies.

• Data Analysis (Module 3): Apply statistical techniques to analyze the data and extract meaningful insights. This involves identifying top programming languages, database skills, IDEs, and demographic trends among developers.

• Data Visualization (Module 4): Choose appropriate visualizations (charts, plots, histograms) to effectively communicate the findings and trends.

• Interactive Dashboard Creation (Module 5): Utilize Cognos to build interactive dashboards that allow for dynamic analysis and presentation of the data.

• Storytelling and Presentation (Module 6): Develop a compelling narrative to present the findings of your analysis. Use a provided presentation template to structure your story and deliver a persuasive presentation.

Skills summary

Module 1: Data Collection

• Collecting Data Using APIs
• Collecting Data Using Webscraping
• Exploring Data

Module 2: Data Wrangling

• Finding Missing Values
• Determine Missing Values
• Finding Duplicates
• Removing Duplicates
• Normalizing Data

Module 3: Exploratory Data Analysis

• Distribution
• Outliers
• Correlation

Module 4: Data Visualization

• Visualizing Distribution of Data
• Relationship
• Composition
• Comparison

Module 5: Dashboard

• Creation
• Dashboards

Module 6: Presentation

• Presentation of Findings
• Final Presentation