ODSC - Open Data Science

JUNE 12, 2023

The Datamarts capability opens endless possibilities for organizations to achieve their data analytics goals on the Power BI platform. Before we look into the Power BI Datamarts, let us take a step back and understand the meaning of a Datamart. What is Power BI Datamarts?

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

Pickl AI

NOVEMBER 18, 2024

Software like Microsoft Excel and SQL helps them manipulate and query data efficiently. They use data visualisation tools like Tableau and Power BI to create compelling reports. Key Features: Hands-on Training: Covers real-world Data Analysis methodologies, SQL , Python, and visualisation.

Data Analyst 110

Data Analyst SQL Python AWS 110

AWS Machine Learning Blog

MAY 30, 2024

The prompts are managed through Lambda functions to use OpenSearch Service and Anthropic Claude 2 on Amazon Bedrock to search the client’s database and generate an appropriate response to the client’s business analysis, including the response in plain English, the reasoning, and the SQL code.

AWS 131

AWS SQL Database AI 131

Pickl AI

APRIL 29, 2024

You can also read about Top 10 Data Science Interview Questions and Answers 2024’s Top Power BI Interview Questions Top DBMS Interview Questions: Basic Level These DBMS interview questions for freshers establish your foundational understanding of DBMS concepts: 1. What are the different types of joins in SQL? What is a DBMS?

Database 52

Database SQL Power BI Big Data 52

Pickl AI

APRIL 18, 2023

Skill development for Data Analysis Technical Knowledge: Python, R, SQL, and SAS are just a few of the programming languages that a data analyst must be proficient in. You can learn and practice data analysis using the many resources accessible online, including books, courses, and open-source datasets.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Computer Science 52

Hacker News

JULY 1, 2025

Remote: Open Willing to relocate: Yes Technologies: Java, Scala, Python, Angular, React, Apache Spark, SQL & NoSQL, Dart, Typescript/Javascript, HTML/CSS/SCSS Résumé/CV: https://drive.google.com/file/d/1tNLYIjtH8dgBSMGPbVg3qA0-6q_. Technologies: Python, Math, ML, GitHub, SQL, JavaScript.

Python 65

Python AWS SQL ML 65

Flipboard

JUNE 16, 2025

SQL and MongoDB SQL remains critical for structured data management, while MongoDB caters to NoSQL database needs, which is essential for modern and flexible data applications. Data Analysis and Transition to Machine Learning: Skills: Python, SQL, Excel, Tableau and Power BI are relevant skills for entry-level data analysis roles.

Python 56

Python AWS Machine Learning Machine Learning 56