What I enjoy about the data science discipline is how broad it is. I have worked as a Data Analyst, a Data Base Admin, a Data Engineer, and a Data Visualization expert. I still feel like I have a lot to learn.

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Mastering Data Engineering: Key Concepts, Tools, and Best Practices

July 1, 2024June 11, 2024

R vs Python in Data Work: A Comprehensive Comparison

June 24, 2024June 11, 2024

Simplify Data Ingestion from HubSpot to BigQuery with DLT Hub and Dagster

June 17, 2024June 10, 2024

Python Data Orchestration Project: Leveraging Dagster for Spotify Ads Integration

June 10, 2024June 10, 2024

Video – Financial Conditions Index with Python

April 18, 2024

Video – Basic Marketing Analytics with Python

March 5, 2024April 18, 2024

Data Ingestion With REST APIs (LinkedIn Ads Example)

February 21, 2024February 21, 2024

The Golden Age of the Business Process Analyst

January 18, 2024January 18, 2024

Dagster with Spotify Ads API

January 11, 2024June 10, 2024

Demark Indicators Analysis

December 28, 2023December 28, 2023

What we talk about when we talk about AI

March 16, 2023August 7, 2023

Building a Data Lake on AWS

January 11, 2023January 16, 2023

Custom Maps with Python

December 5, 2022December 5, 2022

World War II in the Pacific Visualized

September 7, 2022

Webscraping in 15 Minutes

May 31, 2022May 31, 2022

Taking your SQL to the Next Level

February 18, 2022April 30, 2022

Setting up A Database Using SQL Server

October 3, 2021December 5, 2022

Web Scraping Data in Python

August 7, 2020May 31, 2022

Data Cleaning and Visualization Basics

May 28, 2020

Getting Started with Python for Data Science

February 29, 2020June 1, 2022