Certifications

Certification & Professional Learning

A curated collection of structured learning programs across analytics, data, product, and engineering — focused on building depth, sharpening decision-making, and strengthening my capabilities as a data & analytics leader.

Core Analytics & Data

Foundations across analytics lifecycle, SQL, statistics, and data storytelling.

Core track

Google Data Analytics Professional Certificate

An 8-course foundational program covering the full analytics lifecycle—from data collection and cleaning to SQL, spreadsheets, R, dashboards, and effective stakeholder communication.

Focus: Data Analytics Fundamental Skills: SQL · Spreadsheets · Data Visualization · Dashboards Provider: Coursera × Google

Data, Product, Experimentation & Business Impact

Learn how to design high-impact experiments, evaluate product performance, and apply analytical thinking to real business problems.

Data Engineer 101 : The Engineer's Guide

An introductory guide to the data engineer role—covering core concepts, daily workflows, and hands-on exercises using essential data engineering tools.

Focus: Data Engineering Foundations Focus: ETL Basics · Pipelines · Core Tools Provider: Udemy

Snapshot

Learning & Certification Profile

I leverage certifications to build real, measurable expertise — not just badges. Each program includes hands-on labs, case studies, and deliverables that I translate into portfolio projects or internal initiatives that drive business impact.

Total certs

Core analytics

Tools / platforms

Tech Stack & Analytical Toolkit

The essential programming languages, tools, and platforms I use to build scalable analytics, models, dashboards, and data solutions.

Intermediate Python For Data Science

A hands-on program to strengthen Python skills through functions, loops, data manipulation, and applied exercises tailored for data science workflows.

Intro to Python For Data Science

A beginner-friendly course introducing Python fundamentals, variables, data structures, and basic analysis techniques for data science applications.

Intro to SQL for Data Science

A practical introduction to SQL, covering querying basics, filtering, aggregations, and essential commands for working with relational databases in analytics.