Dataconomy

MARCH 24, 2023

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving. How to become a blockchain maestro?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving. How to become a blockchain maestro?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

ODSC - Open Data Science

FEBRUARY 6, 2025

OpenAI Unveils ChatGPT Deep Research: A Game-Changing AIAgent OpenAI has surprised the world with the release of ChatGPT Deep Research, a powerful AI agent designed for advanced web browsing and data analysis. We discuss the open-source Guardrails AI and how you can use it to safeguard your AIapps.

AI 52

AI AI Azure ETL 52

phData

NOVEMBER 11, 2024

It’s a powerful data analysis tool that has changed how companies handle data analytics for years, even with its higher price. These tasks often go through several stages, similar to the ETL process (Extract, Transform, Load). That’s where Alteryx Designer comes in. Closing: Why is Alteryx so Expensive?

Data Analysis 52

Data Analysis Data Analysis Database Analytics 52

Pickl AI

APRIL 26, 2024

Top 50+ Interview Questions for Data Analysts Technical Questions SQL Queries What is SQL, and why is it necessary for data analysis? SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. Explain the Extract, Transform, Load (ETL) process.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

JULY 3, 2023

Here are steps you can follow to pursue a career as a BI Developer: Acquire a solid foundation in data and analytics: Start by building a strong understanding of data concepts, relational databases, SQL (Structured Query Language), and data modeling.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Flipboard

JUNE 16, 2025

Data Analysis and Transition to Machine Learning: Skills: Python, SQL, Excel, Tableau and Power BI are relevant skills for entry-level data analysis roles. Next Steps: Transition into data engineering (PySpark, ETL) or machine learning (TensorFlow, PyTorch). However, the competition is high.

Python 55

Python AWS Machine Learning Machine Learning 55