Less Talk, More Data

“Without data, you're just another person with an opinion.” – W. Edwards Deming

Data Analyst Career Track – 365 Data Science

  • Gained hands-on experience with Excel, SQL, Python, Tableau, and data visualization techniques
  • Developed practical skills in data wrangling, statistical analysis, and business-focused insights
  • Completed project-based modules using real-world datasets to solve analytical challenges
data-position=

Data Visualization with Python, R, Tableau & Excel

  • Built data visualizations using Python (Matplotlib, Seaborn), R (ggplot2), Tableau, and Excel
  • Learned to choose appropriate chart types for different data and audience needs
  • Developed interactive dashboards and visuals to communicate data-driven stories effectively

SQL Fundamentals Certificate

  • Learned to write and optimize SQL queries for data extraction and analysis
  • Gained hands-on experience with filtering, joins, aggregation, subqueries, and window functions
  • Practiced building complex queries to solve real-world analytical problems with relational databases

AI-Enhanced Data Analysis in Power BI

  • Learned to build dynamic reports and dashboards in Power BI using real-world datasets
  • Integrated ChatGPT to streamline DAX formulas, data insights, and report optimization
  • Explored AI-assisted workflows to enhance data storytelling and decision-making

Data Preprocessing in Python with pandas

  • Learned techniques for handling missing data, duplicates, and inconsistent formats in real datasets
  • Applied pandas to reshape, filter, and transform data for analysis
  • Gained practical experience preparing messy datasets for use in analytics projects

NumPy for Data Preparation

  • Mastered array manipulation, indexing, and slicing using NumPy
  • Applied vectorized operations for efficient data transformation and computation
  • Gained practical skills in preparing structured data for analysis and modeling

Tableau Basics for Analysts

  • Learned the fundamentals of building interactive dashboards and visualizations in Tableau
  • Gained experience connecting data sources, filtering data, and creating dynamic charts
  • Explored best practices for effective data storytelling and dashboard design

Descriptive & Inferential Statistics

  • Covered key statistical concepts including distributions, probability, hypothesis testing, and confidence intervals
  • Learned to apply statistical reasoning in data interpretation and decision-making
  • Gained hands-on practice using real datasets to analyze trends and variability

Excel for Data Analysis

  • Learned foundational Excel functions for organizing, analyzing, and summarizing data
  • Practiced working with formulas, cell referencing, sorting, and filtering large datasets
  • Built a strong base in spreadsheet-based analysis used in real-world business scenarios

Foundations of Generative AI and ChatGPT

  • Explored the principles behind ChatGPT and the broader field of generative AI
  • Learned to use AI tools for content creation, automation, and data-related tasks
  • Gained insight into ethical considerations, limitations, and use cases in data workflows

From Certificates to Real Work

Certifications are a start — but applying those skills is where it really counts. Click on the Projects button to explore the projects I’ve completed using these tools.