📊 Applied Machine Learning in Python
In this certification, I learned and applied a variety of machine learning techniques, ranging from supervised learning for classification and regression to unsupervised learning for clustering and dimensionality reduction. I also learned how to evaluate model performance using techniques such as the Area Under the ROC Curve (AUC), as well as recall, precision, accuracy, and cross-validation, among others.
Jun 26, 2025
📊 Introduction to Power Query in Excel
In this certification, I learned to use Excel Power Query to import and organize data, handle errors, remove duplicates, and fill in missing values. I also worked with numerical transformations, date/time manipulation, and text formatting. Finally, I gained more advanced knowledge in structuring data through transposing, pivoting, grouping, and connecting multiple queries to build more comprehensive and user-friendly data analysis workflows.
Jun 4, 2025
📊 Applied Plotting, Charting and Data Representation in Python
In this certification, I learned the fundamentals of information visualization, with a focus on creating reports and charts using Python’s Matplotlib library. I also learned to identify the key elements that make a visualization effective and engaging, how they differ from ineffective ones, and the best practices and design principles for clear communication.
May 30, 2025
📊 Google Data Analytics Professional Certificate
In this certification, I gained an in-depth understanding of the daily practices and processes used by associate data analysts. I developed key analytical skills, including data cleaning, analysis, and visualization, while working with essential tools such as spreadsheets, SQL, R programming, and Tableau. I learned how to clean and organize data for analysis, perform calculations using spreadsheets, SQL, and R, and effectively visualize and present data findings through dashboards, presentations, and commonly used visualization platforms.
Feb 18, 2025
📊 Introduction to Data Science with Python
I studied the foundational concept of Data Science with python. By the end of the course, I was familiar with data manipulation and cleaning techniques using the python pandas data science library. I also learned about Series and DataFrames as the central data structures for data analysis. Furthermore, I also learned how to run basic inferential statistical analyses.
Aug 28, 2024