Data Engineering, Data Preparation and Data Wrangling

State of Machine Learning Survey Results Part Two

ODSC - Open Data Science

MARCH 13, 2023

First, there’s a need for preparing the data, aka data engineering basics. Machine learning practitioners are often working with data at the beginning and during the full stack of things, so they see a lot of workflow/pipeline development, data wrangling, and data preparation.

Machine Learning

Machine Learning Machine Learning Data Wrangling Data Science

Why SQL is important for Data Analyst?

Pickl AI

APRIL 10, 2023

Data Analysts need deeper knowledge on SQL to understand relational databases like Oracle, Microsoft SQL and MySQL. Moreover, SQL is an important tool for conducting Data Preparation and Data Wrangling.

Data Analyst

Data Analyst SQL Data Analysis Data Analysis

Must-Have Prompt Engineering Skills for 2024

ODSC - Open Data Science

JANUARY 29, 2024

Data, Engineering, and Programming Skills Programming Despite the rise of no-code platforms and AI code assistance, programming skills are still essential for training and fine-tuning LLM models, scripting for data processing, and integrating models into applications. Kubernetes: A long-established tool for containerized apps.

Data Science

Data Science Machine Learning Machine Learning Natural Language Processing

Data Science Current

State of Machine Learning Survey Results Part Two

Why SQL is important for Data Analyst?

Must-Have Prompt Engineering Skills for 2024

Webinars

Stay Connected