phData

NOVEMBER 4, 2024

With data software pushing the boundaries of what’s possible in order to answer business questions and alleviate operational bottlenecks, data-driven companies are curious how they can go “beyond the dashboard” to find the answers they are looking for. One of the standout features of Dataiku is its focus on collaboration.

Machine Learning 69

Machine Learning Machine Learning Data Science ML 69

How to Learn Machine Learning

APRIL 26, 2025

Data can be generated from databases, sensors, social media platforms, APIs, logs, and web scraping. Data can be in structured (like tables in databases), semi-structured (like XML or JSON), or unstructured (like text, audio, and images) form.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Tableau

JULY 28, 2020

Ryan Cairnes Senior Manager, Product Management, Tableau Hannah Kuffner July 28, 2020 - 10:43pm March 20, 2023 Tableau Prep is a citizen data preparation tool that brings analytics to anyone, anywhere. With Prep, users can easily and quickly combine, shape, and clean data for analysis with just a few clicks.

Data Preparation 52

Data Preparation Tableau Database Clean Data 52

Tableau

JULY 28, 2020

Ryan Cairnes Senior Manager, Product Management, Tableau Hannah Kuffner July 28, 2020 - 10:43pm March 20, 2023 Tableau Prep is a citizen data preparation tool that brings analytics to anyone, anywhere. With Prep, users can easily and quickly combine, shape, and clean data for analysis with just a few clicks.

Data Preparation 52

Data Preparation Tableau Database Clean Data 52

AWS Machine Learning Blog

NOVEMBER 27, 2023

Companies that use their unstructured data most effectively will gain significant competitive advantages from AI. Clean data is important for good model performance. Scraped data from the internet often contains a lot of duplications. Choose Create on the right side of page, then give a data flow name and select Create.

Data Preparation 117

Data Preparation AI AI Python 117

Dataconomy

JULY 28, 2023

Data scientists must decide on appropriate strategies to handle missing values, such as imputation with mean or median values or removing instances with missing data. The choice of approach depends on the impact of missing data on the overall dataset and the specific analysis or model being used.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Dataconomy

AUGUST 16, 2023

” The answer: they craft predictive models that illuminate the future ( Image credit ) Data collection and cleaning : Data scientists kick off their journey by embarking on a digital excavation, unearthing raw data from the digital landscape. Interprets data to uncover actionable insights guiding business decisions.

Data Scientist 172

Data Scientist Data Science Machine Learning Machine Learning 172