KDnuggets

JULY 7, 2025

DuckDB is an SQL database that you can run right in your notebook. Unlike other SQL databases, you don’t need to configure the server. Data Project - Uber Business Modeling We will use it with Jupyter Notebook, combining it with Python for data analysis. Nate Rosidi is a data scientist and in product strategy.

SQL 267

SQL Data Science Natural Language Processing Machine Learning 267

KDnuggets

JULY 17, 2025

Counting Hashable Objects Effortlessly with Counter A common task in almost any data analysis project is counting the occurrences of items in a sequence. This tutorial explores ten practical — and perhaps surprising — applications of the Python collections module.

Natural Language Processing 300

Natural Language Processing Data Science Python Machine Learning 300

KDnuggets

JULY 22, 2025

Finding Objects with Maximum/Minimum Values Identifying records with extreme values is essential for data analysis and quality control. API, Database, Campaign, Analytics, Frontend, Testing, Outreach, CRM] # Conclusion These Python one-liners show how useful Python is for JSON data manipulation.

Python 189

Python Natural Language Processing Data Science Machine Learning 189

Flipboard

JUNE 17, 2025

Organizations manage extensive structured data in databases and data warehouses. Large language models (LLMs) have transformed natural language processing (NLP), yet converting conversational queries into structured data analysis remains complex. For this post, we demonstrate the setup option with IAM access.

AWS 150

AWS SQL Database Natural Language Processing 150

Flipboard

JULY 16, 2025

Understanding Raw Data Raw data contains inconsistencies, noise, missing values, and irrelevant details. Understanding the nature, format, and quality of raw data is the first step in feature engineering. Data audit : Identify variable types (e.g.,

Machine Learning 154

Machine Learning Machine Learning Natural Language Processing Data Science 154

AWS Machine Learning Blog

DECEMBER 4, 2024

Its sales analysts face a daily challenge: they need to make data-driven decisions but are overwhelmed by the volume of available information. They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels.

AWS 106

AWS AI AI SQL 106

How to Learn Machine Learning

APRIL 26, 2025

The field of data science is now one of the most preferred and lucrative career options available in the area of data because of the increasing dependence on data for decision-making in businesses, which makes the demand for data science hires peak. Data Sources and Collection Everything in data science begins with data.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Dataconomy

JUNE 18, 2025

Data integration plays a key role in achieving this by incorporating data cleansing techniques, ensuring that the information used is accurate and consistent. Reduction of data silos Breaking down data silos is essential for enhancing collaboration across different departments within an organization.

Data Warehouse 91

Data Warehouse Data Silos ETL Big Data 91

Pickl AI

NOVEMBER 4, 2024

This article will guide you through effective strategies to learn Python for Data Science, covering essential resources, libraries, and practical applications to kickstart your journey in this thriving field. Key Takeaways Python’s simplicity makes it ideal for Data Analysis. in 2022, according to the PYPL Index.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

JULY 22, 2025

This comprehensive guide explores what large language models are, how they work, where they’re applied in data science, practical use cases, and the immense value they offer organizations positioned to leverage them. Automate content creation, data analysis, and customer support using LLMs. How Do LLMs Work?

Data Science 52

Data Science Data Analysis Data Analysis Deep Learning 52

Pickl AI

DECEMBER 26, 2024

Defining Cloud Computing in Data Science Cloud computing provides on-demand access to computing resources such as servers, storage, databases, and software over the Internet. For Data Science, it means deploying Analytics , Machine Learning , and Big Data solutions on cloud platforms without requiring extensive physical infrastructure.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

Flipboard

JULY 3, 2025

Although rapid generative AI advancements are revolutionizing organizational natural language processing tasks, developers and data scientists face significant challenges customizing these large models. There are three personas: admin, data engineer, and user, which can be a data scientist or an ML engineer.

ML 115

ML ML AWS Data Engineering 115

AWS Machine Learning Blog

FEBRUARY 13, 2025

They can select from options like requesting vacation time, checking company policies using the knowledge base, using a code interpreter for data analysis, or submitting expense reports. Code Interpreter For performing calculations and data analysis. A code interpreter tool for performing calculations and data analysis.

AWS 102

AWS AI AI ML 102

Pickl AI

APRIL 21, 2025

Key Takeaways Big Data focuses on collecting, storing, and managing massive datasets. Data Science extracts insights and builds predictive models from processed data. Big Data technologies include Hadoop, Spark, and NoSQL databases. Data Science uses Python, R, and machine learning frameworks.

Big Data 52

Big Data Big Data Data Science Machine Learning 52

Towards AI

APRIL 28, 2025

Learn how to filter data efficiently in SQL with powerful techniques and real-world examples for data science.SQL Filtering Techniques for Data Science The WHERE clause is the part of the SELECT statement that is used to list conditions that determine which rows in the table should be included in the result set.

Data Science 97

Data Science SQL Data Scientist Database 97

ODSC - Open Data Science

MARCH 21, 2025

In todays fast-paced data-driven world, open-source solutions are transforming industries by providing flexible, scalable, and community-driven innovations. Whether youre a data scientist, engineer, or AI researcher, tapping into open-source technologies can accelerate your work while fostering collaboration.

Data Scientist 52

Data Scientist Data Visualization Data Science Data Lakes 52

ODSC - Open Data Science

FEBRUARY 13, 2025

Using a step-by-step approach, he demonstrated how to integrate AI models with structured databases, enabling automated insights generation, query execution, and data visualization. Attendees left with a clear understanding of how AI can enhance data analysis workflows and improve decision-making in business intelligence applications.

AI 52

AI AI Data Analyst Database 52

AWS Machine Learning Blog

NOVEMBER 18, 2024

Generative AI is transforming the way healthcare organizations interact with their data. MSD collaborated with AWS Generative Innovation Center (GenAIIC) to implement a powerful text-to-SQL generative AI solution that streamlines data extraction from complex healthcare databases. For simplicity, we use only data from Sample 1.

SQL 101

SQL Database AWS AI 101

KDnuggets

JUNE 27, 2025

As a data professional at a tech company, I am experiencing firsthand the integration of AI into every employee’s workflow. There is an ocean of AI tools that can now access and analyze your entire database and help you build data analytics projects, machine learning models, and web applications in minutes.

Analytics 272

Analytics Analytics Data Science AI 272

ODSC - Open Data Science

JULY 14, 2025

Sinan Ozdemir AI & LLM Expert | Author | Founder + CTO at LoopGenius Sinan Ozdemir is a mathematician, data scientist, NLP expert, lecturer, and accomplished author. He can teach you about Data Analysis, Java, Python, PostgreSQL, Microservices, Containers, Kubernetes, and some JavaScript.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

ODSC - Open Data Science

JULY 3, 2025

Sinan Ozdemir AI & LLM Expert | Author | Founder + CTO at LoopGenius Sinan Ozdemir is a mathematician, data scientist, NLP expert, lecturer, and accomplished author. He can teach you about Data Analysis, Java, Python, PostgreSQL, Microservices, Containers, Kubernetes, and some JavaScript.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

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 Structures and Algorithms (DSA): Why: Fundamental for clearing coding interviews across software development roles.

Python 56

Python AWS Machine Learning Machine Learning 56

Dataconomy

JULY 3, 2025

T-SQL is a powerful extension of SQL that allows for advanced data manipulation and retrieval, making it a crucial tool for database administrators and developers. Its rich set of features not only enhances standard SQL capabilities but also supports various complex programming constructs that facilitate effective data management.

SQL 91

SQL Database Database Administration Data Analysis 91

Dataconomy

APRIL 25, 2025

Dplyr is an essential package in R programming, particularly beneficial for data manipulation tasks. It streamlines data preparation and analysis, making it easier for data scientists and analysts to extract insights from their datasets. dbplyr : Allows dplyr functions to interface with SQL databases.

Data Analysis 91

Data Analysis Data Analysis Data Preparation Data Scientist 91

Pickl AI

MARCH 19, 2025

Without data engineering , companies would struggle to analyse information and make informed decisions. What Does a Data Engineer Do? A data engineer creates and manages the pipelines that transfer data from different sources to databases or cloud storage. How is Data Engineering Different from Data Science?

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Dataconomy

FEBRUARY 26, 2025

KDD provides a structured framework to convert raw data into actionable knowledge. The KDD process Data gathering Data preparation Data mining Data analysis and interpretation Data mining process components Understanding the components of the data mining process is essential for effective implementation.

Data Mining 91

Data Mining Data Mining Data Mining Data Preparation 91

Data Science Dojo

APRIL 25, 2023

SQL (Structured Query Language) is an important tool for data scientists. It is a programming language used to manipulate data stored in relational databases. Mastering SQL concepts allows a data scientist to quickly analyze large amounts of data and make decisions based on their findings.

Data Scientist 370

Data Scientist SQL Machine Learning Machine Learning 370

Data Science Dojo

MARCH 8, 2024

With the rapidly evolving technological world, businesses are constantly contemplating the debate of traditional vs vector databases. This blog delves into a detailed comparison between the two data management techniques. In today’s digital world, businesses must make data-driven decisions to manage huge sets of information.

Database 370

Database Natural Language Processing Clustering SQL 370

Analytics Vidhya

JUNE 26, 2024

Introduction “Data scientists don’t use databases until they have to.” DuckDB is a desk-oriented database management system (DBMS) that supports the Structured Query Language (SQL). It is an effective and lightweight DBMS that transforms data analysis and analytics of massive datasets.

Analytics 305

Analytics Analytics SQL Database 305

Machine Learning Mastery

MARCH 1, 2024

In the realm of data analysis, SQL stands as a mighty tool, renowned for its robust capabilities in managing and querying databases. This exploration delves into […] The post Beyond SQL: Transforming Real Estate Data into Actionable Insights with Pandas appeared first on MachineLearningMastery.com.

SQL 293

SQL Data Scientist Database Data Analysis 293

Data Science Dojo

MARCH 7, 2023

As data science evolves and grows, the demand for skilled data scientists is also rising. A data scientist’s role is to extract insights and knowledge from data and to use this information to inform decisions and drive business growth.

Data Scientist 221

Data Scientist Exploratory Data Analysis Data Science Data Visualization 221

Data Science Dojo

MAY 10, 2023

Top 10 Professions in Data Science: Below, we provide a list of the top data science careers along with their corresponding salary ranges: 1. Data Scientist Data scientists are responsible for designing and implementing data models, analyzing and interpreting data, and communicating insights to stakeholders.

Data Science 368

Data Science Data Scientist Database Administration Machine Learning 368

Data Science Dojo

OCTOBER 4, 2024

Data Scientist Data scientists are like detectives for information, sifting through massive amounts of data to uncover patterns and insights using their computer science and statistics knowledge. They employ tools such as algorithms and predictive models to forecast future trends based on present data.

Computer Science 418

Computer Science Computer Science Database Administration Data Scientist 418

Data Science Dojo

MAY 1, 2023

One of the main reasons for its popularity is the vast array of libraries and packages available for data manipulation, analysis, and visualization. It supports large, multi-dimensional arrays and matrices of numerical data, as well as a large library of mathematical functions to operate on these arrays.

Python 329

Python Machine Learning Machine Learning Data Science 329

Data Science Dojo

APRIL 4, 2023

Look no further than Data Science Dojo’s Introduction to Python for Data Science course. This instructor-led live training course is designed for individuals who want to learn how to use Python to perform data analysis, visualization, and manipulation.

Data Science 366

Data Science Python Data Analysis Data Analysis 366

Data Science Dojo

OCTOBER 2, 2023

This means that you can use natural language prompts to perform advanced data analysis tasks, generate visualizations, and train machine learning models without the need for complex coding knowledge. With Code Interpreter, you can perform tasks such as data analysis, visualization, coding, math, and more.

Data Science 497

Data Science Machine Learning Machine Learning Exploratory Data Analysis 497

Data Science Dojo

FEBRUARY 23, 2024

A wide range of applications deals with a variety of tasks, ranging from writing, E-learning, and SEO to medical advice, marketing, data analysis, and so much more. However, our focus lies on exploring the GPTs for data science available on the platform. You can upload your data files to this GPT that it can then analyze.

Data Science 363

Data Science Data Analysis Data Analysis Machine Learning 363