https://github.com/willie-conway/meta-data-analyst-portfolio
A comprehensive 📚portfolio showcasing projects and skills developed during the Meta Data Analyst Professional Certificate 🎓course, featuring 📈data analysis, 📊visualization, and 👨🏿💻management using various ⚙️tools.
https://github.com/willie-conway/meta-data-analyst-portfolio
big-data business-intelligence data-analysis data-cleaning data-driven-decisions data-management data-mining data-visualization exploratory-data-analysis jupyter-notebook machine-learning pandas porfolio predictive-modeling python spreadsheet-analysis sql statistics tableau visualization-tools
Last synced: 2 months ago
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A comprehensive 📚portfolio showcasing projects and skills developed during the Meta Data Analyst Professional Certificate 🎓course, featuring 📈data analysis, 📊visualization, and 👨🏿💻management using various ⚙️tools.
- Host: GitHub
- URL: https://github.com/willie-conway/meta-data-analyst-portfolio
- Owner: Willie-Conway
- License: mit
- Created: 2024-10-25T06:07:55.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2026-01-17T03:50:16.000Z (5 months ago)
- Last Synced: 2026-01-17T15:36:04.726Z (5 months ago)
- Topics: big-data, business-intelligence, data-analysis, data-cleaning, data-driven-decisions, data-management, data-mining, data-visualization, exploratory-data-analysis, jupyter-notebook, machine-learning, pandas, porfolio, predictive-modeling, python, spreadsheet-analysis, sql, statistics, tableau, visualization-tools
- Language: Jupyter Notebook
- Homepage:
- Size: 50.2 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
README
# 📊 Meta Data Analyst Professional Certificate Portfolio
## 🎯 Overview
This repository showcases my journey through the **Meta Data Analyst Professional Certificate** program. It contains comprehensive projects, assignments, and labs across 8 courses, demonstrating proficiency in data analysis, statistical modeling, data visualization, and business intelligence using Meta's industry-relevant curriculum.
## 📚 Course Portfolio Structure
### 1. 📊 **Introduction to Data Analytics**
- **Skills**: Data Analytics Foundations, OSEMN Framework, Business Intelligence
- **Tools**: Spreadsheets, Data Analysis Frameworks
- **Key Projects**:
- 🔍 **OSEMN Framework Application**: Complete data analysis workflow
- 📈 **Data Analytics vs Data Science**: Comparative analysis
- 🤖 **Generative AI Overview**: AI applications in analytics
- **Notable Files**:
- `OSEMN_Framework.py` - Structured data analysis methodology
- `Data_Analysis_vs_Data_Science.py` - Career path analysis
- `Generative_AI_Response.py` - AI-powered analytics techniques
### 2. 📈 **Data Analysis with Spreadsheets and SQL**
- **Skills**: Advanced Spreadsheets, SQL Queries, Dashboard Creation
- **Tools**: Google Sheets, SQL, Tableau
- **Key Projects**:
- 🏪 **Most Profitable Stores Analysis** - Retail performance optimization
- 📊 **Advanced Chart Types Implementation** - Professional visualizations
- 🔍 **Data Exploration Techniques** - Pattern discovery methods
- **Tableau Dashboards**:
- `Most_Profitable_Stores.twb` - Business performance tracking
- `Global_Orders.twb` - International sales analysis
- Interactive dashboards with drill-down capabilities
### 3. 🐍 **Python Data Analytics**
- **Skills**: Python Programming, Data Wrangling, Statistical Analysis
- **Tools**: Pandas, NumPy, Matplotlib, Jupyter Notebooks
- **Key Projects**:
- 📊 **Full OSEMN Implementation** - End-to-end Python analysis pipeline
- 📈 **Explanatory Visualizations** - Professional chart creation
- 🤖 **Modeling with Python** - Predictive analytics
- **Jupyter Notebooks**:
- `Full_OSEMN.ipynb` - Complete analysis workflow
- `Creating_Explanatory_Visualizations.ipynb` - Advanced plotting
- `Modeling_with_Python.ipynb` - Machine learning basics
- `Exploration_-_Filtering_Data.ipynb` - Data manipulation techniques
### 4. 📊 **Statistics Foundations**
- **Skills**: Statistical Analysis, Hypothesis Testing, Data Modeling
- **Tools**: Python, Excel, Statistical Libraries
- **Key Projects**:
- 🎯 **Getting to Know the Data** - Descriptive statistics and EDA
- 📈 **Understanding Data Samples** - Sampling techniques and distributions
- 🔬 **Testing Your Hypothesis** - A/B testing and statistical significance
- 🏗️ **Data Modeling** - Regression and predictive modeling
- **Capstone Modules**:
- Complete statistical analysis workflow
- Real-world dataset applications
- Professional reporting and visualization
### 5. 💾 **Data Management**
- **Skills**: Data Governance, Security, Storage Solutions
- **Tools**: Database Systems, Data Security Frameworks
- **Key Topics**:
- 🔒 **Data Security Fundamentals** - Protection and compliance
- 📦 **Data Storage Formats** - Optimization and selection
- 🏗️ **Big Data Management Systems** - Scalable solutions
- 📊 **Data Collection Tools** - Best practices and implementation
- **Comprehensive Guides**:
- `Compliance_Best_Practices.py` - Regulatory compliance
- `Data_Storage_Formats.py` - File format comparisons
- `Machine_Learning_Tools_Roundup.py` - ML infrastructure
### 6. 🎨 **Data Visualization with Tableau**
- **Skills**: Dashboard Design, Interactive Visualizations, Business Intelligence
- **Tools**: Tableau, Advanced Charting Techniques
- **Key Projects**:
- 📈 **Time Series Analysis** - Trend identification and forecasting
- 👥 **Cluster Analysis** - Customer segmentation techniques
- 📊 **Advanced Dashboard Creation** - Professional reporting
- **Tableau Workbooks**:
- `Time_Series.twb` - Temporal data analysis
- `Age_and_Income_-_Cluster_Analysis.twb` - Demographic segmentation
- Interactive filters and calculated fields
### 7. 📊 **Excel for Data Analysis**
- **Skills**: Advanced Excel, PivotTables, Business Analytics
- **Tools**: Microsoft Excel, Statistical Functions
- **Key Projects**:
- 🔬 **A/B Testing Analysis** - Experimental design and evaluation
- 📈 **Data Modeling Capstone** - Comprehensive analytics project
- 📊 **Business Performance Analysis** - KPI tracking and optimization
- **Advanced Features**:
- Advanced formulas and functions
- PivotTables with dynamic ranges
- Data validation and conditional formatting
### 8. 📈 **Data Analytics Capstone Project**
- **Skills**: End-to-End Analysis, Business Insights, Presentation
- **Tools**: Full Analytics Toolkit Integration
- **Project Components**:
1. 📥 **Data Acquisition** - Multiple source integration
2. 🧹 **Data Preparation** - Cleaning and transformation
3. 🔍 **Exploratory Analysis** - Pattern discovery and insight generation
4. 📊 **Visualization Development** - Dashboard and report creation
5. 🎤 **Business Presentation** - Stakeholder communication
## 🛠️ **Technical Skills Demonstrated**
### **Programming & Data Analysis**
### **Statistical Analysis & Modeling**
### **Data Visualization & BI**
### **Data Management & Tools**
### **Python Data Science Stack**
### **Database & Storage Technologies**
## 📁 Repository Structure
```
📂 Meta-Data-Analyst-Portfolio/
│
├── 📂 Data_Analysis_with_Spreadsheets_and_SQL/
│ ├── 📊 Tableau_Dashboards/ # Interactive business dashboards
│ ├── 📈 Sales_Analysis/ # Profitability and performance
│ ├── 🔍 Data_Exploration/ # Pattern discovery
│ └── 📋 SQL_Queries/ # Database analysis scripts
│
├── 📂 Python_Data_Analytics/
│ ├── 📓 Jupyter_Notebooks/ # Complete analysis workflows
│ │ ├── 📊 Exploratory_Data_Analysis/
│ │ ├── 📈 Data_Visualization/
│ │ ├️ 🤖 Machine_Learning/
│ │ └️ 🔍 Statistical_Analysis/
│ └️ 🐍 Python_Scripts/ # Modular analysis scripts
│
├── 📂 Statistics_Foundations/
│ ├️ 📊 Capstone_Modules/
│ │ ├️ 🎯 1_Getting_to_Know_the_Data/
│ │ ├️ 📈 2_Understanding_Data_Samples/
│ │ ├️ 🔬 3_Testing_Your_Hypothesis/
│ │ └️ 🏗️ 4_Data_Modeling/
│ └️ 📋 Statistical_Analysis/ # Hypothesis testing and modeling
│
├── 📂 Data_Management/
│ ├️ 🔒 Security_Compliance/ # Data governance frameworks
│ ├️ 📦 Storage_Solutions/ # Database and file management
│ └️ 🏗️ Infrastructure/ # System architecture
│
├── 📂 Tableau_Visualizations/
│ ├️ 📈 Business_Dashboards/ # Interactive reports
│ ├️ 📊 Time_Series_Analysis/ # Trend visualization
│ └️ 👥 Cluster_Analysis/ # Segmentation dashboards
│
├️ 📂 Excel_Analytics/
│ ├️ 📊 Advanced_Models/ # Complex data analysis
│ ├️ 🔬 A_B_Testing/ # Experimental analysis
│ └️ 📈 Business_Intelligence/ # KPI tracking
│
├── 📂 Sample_Data/
│ ├️ 📊 Cleaned_Datasets/ # Analysis-ready data
│ └️ 📈 Raw_Data/ # Original data sources
│
├── 📜 LICENSE
├️ 📜 requirements.txt
└️ 📜 README.md
```
## 🚀 How to Use This Portfolio
### For Recruiters & Hiring Managers:
1. **Review Capstone Projects**: Start with Statistics Foundations modules for complete workflow examples
2. **Examine Technical Implementation**: Check Python notebooks and SQL scripts for coding proficiency
3. **View Dashboard Outputs**: Explore Tableau workbooks and Excel models for visualization skills
4. **Assess Analytical Thinking**: Review hypothesis testing and statistical analysis projects
### For Fellow Data Analysts:
1. **Follow Learning Path**: Study modules in sequence from foundations to advanced topics
2. **Replicate Analyses**: Use provided datasets and scripts for hands-on practice
3. **Reference Implementations**: Use code as templates for similar analysis projects
### For Technical Review:
```bash
# Clone the repository
git clone https://github.com/Willie-Conway/Meta-Data-Analyst.git
# Navigate to specific analysis projects
cd "Meta-Data-Analyst/Statistics Foundations/Capstones/Modules/4 - Data Modeling"
# Open Jupyter notebooks
jupyter notebook "Data Modeling Analysis.ipynb"
# Explore Tableau dashboards
# Open .twb files in Tableau Desktop or Tableau Reader
```
## 📈 Key Achievements
✅ **Complete 8-Course Certificate** from Meta
✅ **50+ Hands-on Projects** covering real business scenarios
✅ **Advanced Statistical Analysis** including hypothesis testing and modeling
✅ **Interactive Tableau Dashboards** with professional design
✅ **End-to-End Python Analytics** from data ingestion to visualization
✅ **Comprehensive Data Management** including security and governance
## 🏆 Certifications
This portfolio demonstrates mastery in:
- Meta Data Analyst Professional Certificate
- Advanced Statistical Analysis and Modeling
- Business Intelligence with Tableau
- Python for Data Analytics
- Data Management and Governance
## 📞 Contact & Professional Links
[](https://www.linkedin.com/in/willieconway/)
[](https://github.com/Willie-Conway)
[](mailto:hire.willie.conway@gmail.com)
**Email**: [hire.willie.conway@gmail.com](mailto:hire.willie.conway@gmail.com)
**LinkedIn**: [Willie Conway](https://www.linkedin.com/in/willieconway/)
**GitHub**: [Willie-Conway](https://github.com/Willie-Conway)
## 📄 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 🙏🏿 Acknowledgments
- Meta for the comprehensive data analytics curriculum
- Coursera for providing the learning platform
- All instructors and mentors throughout the program
---
⭐ **If you find this portfolio valuable, please consider giving it a star!** ⭐
*Last updated: December 2024 | Portfolio Version: 2.0 | Certificate Completion: November 2024*