Pickl AI

JULY 25, 2023

Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Big Data Processing: Apache Hadoop, Apache Spark, etc.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Mlearning.ai

JULY 11, 2023

This includes important stages such as feature engineering, model development, data pipeline construction, and data deployment. For example, when it comes to deploying projects on cloud platforms, different companies may utilize different providers like AWS, GCP, or Azure.

Data Science 40

Data Science Exploratory Data Analysis Azure Power BI 40

Mlearning.ai

JUNE 16, 2023

There is a VSCode Extension that enables its integration into traditional development pipelines. How to use the Codex models to work with code - Azure OpenAI Service Codex is the model powering Github Copilot. GPT-4 Data Pipelines: Transform JSON to SQL Schema Instantly Blockstream’s public Bitcoin API.

AI 52

AI AI Data Analysis Data Analysis 52

Towards AI

JANUARY 22, 2025

The role of a data scientist is changing so fast that often schools cant keep up. Universities still mostly focus on things like EDA, data cleaning, and building/fine-tune models. Simply put, focusing solely on data analysis, coding or modeling will no longer cuts it for most corporate jobs.

Data Scientist 105

Data Scientist EDA AI Exploratory Data Analysis 105