Databricks End-to-End Project: Data Engineering, Machine Learning, Dashboards & Genie
In this hands-on Databricks crash course, we use cryptocurrency market data from the CoinGecko API to demonstrate a complete analytics workflow.
LEARN
Practical content on data engineering, analytics, Python, and tools I use. I help people learn these skills through hands-on examples and real-world applications.
In this hands-on Databricks crash course, we use cryptocurrency market data from the CoinGecko API to demonstrate a complete analytics workflow.
This is my YouTube playlist covering detailed steps on how to build your first end-to-end data portfolio. This includes environment setup, building data pipelines, designing dashboards, and training machine learning models.
This is my YouTube playlist discussing how I built my end-to-end crypto forecaster. This involves initializing environment, setup of data lake, creation of ingestion pipeline, building dashboards, training machine learning models, and hosting an API.
This is my YouTube playlist containing some of the crash courses that I conducted. To date, this includes crash course on Python, SQL, and Power BI.
This is my live learning session where I taught the participants in making their first end-to-end ETL pipeline using SSIS.
This is the first data science and business analytics task under the Graduate Rotational Internship Program (GRIP) of The Sparks Foundation.