Data Visualization with Python, R, Tableau & Excel
- Visualized data using Matplotlib, Seaborn, ggplot2, Tableau, and Excel.
- Applied principles of graphical perception and narrative design.
- Designed interactive dashboards tailored to varied audiences.
Technical mastery
Courses that sharpened my data craft
A snapshot of the structured learning I completed across visualization, analytics, engineering, and emerging AI.
Visualization & BI
Telling clear stories with data
AI-Enhanced Data Analysis in Power BI
- Built dynamic Power BI dashboards using real-world datasets.
- Used ChatGPT to streamline DAX, automate reporting, and refine insights.
- Leveraged AI-assisted analysis to elevate decision storytelling.
Tableau Basics for Analysts
- Created interactive dashboards for business analytics use cases.
- Connected and prepared diverse data sources inside Tableau.
- Practiced best-in-class dashboard layout and storytelling techniques.
Data Analysis with Excel Pivot Tables
- Summarized data with interactive pivot tables and slicers.
- Built calculated fields and custom reporting experiences.
- Transformed raw inputs into actionable Excel insights.
Python & data prep
From raw inputs to ready datasets
Data Preprocessing in Python with pandas
- Cleansed datasets using pandas for robust analytics.
- Handled missing data, duplicates, and complex transformations.
- Reshaped and aggregated data to support modeling workflows.
NumPy for Data Preparation
- Executed high-performance array computations with NumPy.
- Filtered, transformed, and manipulated numerical data efficiently.
- Prepared large datasets for machine learning and statistics.
Data Ingestion with pandas
- Imported CSV, Excel, JSON, database, and API sources using pandas.
- Standardized input data with validation pipelines.
- Automated onboarding steps for reporting and modeling.
Web Scraping & API Fundamentals in Python
- Extracted data via BeautifulSoup and Requests.
- Integrated REST APIs with authentication and JSON parsing.
- Built automated pipelines to keep datasets current.
Analytics foundations
Statistics, SQL, and math behind the models
Descriptive & Inferential Statistics
- Covered probability, hypothesis testing, and statistical inference.
- Applied statistics to A/B testing and experimental analysis.
- Interpreted results to validate business findings.
Advanced SQL
- Optimized complex queries with window functions and advanced joins.
- Learned large-scale data handling and performance tactics.
- Built stored procedures, subqueries, and analytical SQL patterns.
Math Foundation for ML
- Reviewed linear algebra, calculus, statistics, and optimization.
- Linked math concepts to machine learning algorithms and evaluation.
- Built intuition for how math drives feature engineering.
Engineering & platforms
Keeping pipelines resilient and scalable
Git & GitHub Fundamentals
- Practiced branching, merging, and collaboration workflows.
- Managed code reviews and pull requests on GitHub.
- Adopted Git best practices for reliable delivery.
Introduction to Data Architecture
- Studied data modeling, warehousing, and governance principles.
- Designed scalable ETL and data pipeline architectures.
- Explored modern storage patterns and operating models.
Building Data Pipelines with Apache Airflow
- Learned workflow orchestration concepts using Airflow DAGs.
- Covered design patterns, scheduling, and monitoring best practices.
- Understood troubleshooting strategies for automated pipelines.
Understanding Cloud Computing
- Clarified SaaS, PaaS, and IaaS models across major providers.
- Designed scalable analytics solutions using cloud services.
- Integrated cloud resources into ML and BI workloads.
Emerging tech
Exploring what’s next
Blockchain for Business
- Grasped core blockchain and decentralization concepts.
- Explored finance, supply chain, and security use cases.
- Evaluated how blockchain solves real business problems.
Build Chat Applications with OpenAI & LangChain
- Built LLM-powered chat experiences for analytics and support.
- Integrated LangChain with OpenAI APIs for context-aware bots.
- Experimented with prompt chaining and deployment patterns.
Curious about a specific course?
I’m happy to share project files, notes, or live demos from any of these programs. Let’s talk.