phData

NOVEMBER 4, 2024

From data ingestion and cleaning to model deployment and monitoring, the platform streamlines each phase of the data science workflow. Automated features, such as visual data preparation and pre-built machine learning models, reduce the time and effort required to build and deploy predictive analytics.

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

ODSC - Open Data Science

FEBRUARY 2, 2023

Computer Science and Computer Engineering Similar to knowing statistics and math, a data scientist should know the fundamentals of computer science as well. While knowing Python, R, and SQL are expected, you’ll need to go beyond that. Big Data As datasets become larger and more complex, knowing how to work with them will be key.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

IBM Journey to AI blog

SEPTEMBER 19, 2023

And you should have experience working with big data platforms such as Hadoop or Apache Spark. Additionally, data science requires experience in SQL database coding and an ability to work with unstructured data of various types, such as video, audio, pictures and text.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

APRIL 21, 2025

This is where Big Data often comes into play as the source material. Cleaning and Preparing the Data (Data Wrangling) Raw data is almost always messy. Key Skills for Data Science: A data scientist typically needs a blend of skills: Mathematics and Statistics: To understand the theoretical underpinnings of models.

Big Data 52

Big Data Big Data Data Science Machine Learning 52

Pickl AI

MARCH 20, 2024

Aspiring Data Scientists must equip themselves with a diverse skill set encompassing technical expertise, analytical prowess, and domain knowledge. Whether you’re venturing into machine learning, predictive analytics, or data visualization, honing the following top Data Science skills is essential for success.

Data Science 52

Data Science Data Scientist Data Wrangling Data Visualization 52