Welcome to My Data Analytics and Data Science Portfolio
Hello! I’m Madison, and welcome to my professional portfolio, where I showcase a diverse collection of projects and assignments from my journey in data analytics and data science. Here, you’ll find an array of coding projects demonstrating my skills in various domains, including R, Python, business analytics, database management, machine learning, and statistical modeling.
Overview
This portfolio is organized into several key areas, each representing a critical aspect of data science and analytics. Each folder contains projects and code samples that illustrate my expertise and experience in the respective domains. Feel free to explore each section to gain insights into my technical capabilities and problem-solving approach.
- Data Analytics in R
- Projects showcasing data analysis, visualization, and statistical techniques using R.
- Explore my proficiency with packages like ggplot2, dplyr, tidyr, and more.
- Data Manipulation
- Demonstrations of data cleaning, transformation, and manipulation using Python.
- Highlighting skills with pandas, NumPy, and other essential data manipulation libraries.
- Data Science for Business
- Application of data science techniques to solve real-world business problems.
- Includes case studies and projects that emphasize actionable insights and strategic decision-making.
- Database Management
- Projects focused on database creation, management, and querying.
- Illustrates my experience with SQL, database design, and efficient data retrieval techniques.
- Machine Learning
- A collection of machine learning projects, from supervised to unsupervised learning.
- Showcases implementations using scikit-learn, TensorFlow, and other ML frameworks.
- Statistical Modeling
- Demonstrates my ability to build and interpret statistical models.
- Includes regression analysis, hypothesis testing, ANOVA, and more.