AWS Machine Learning Blog

AUGUST 21, 2024

Optionally, you can choose the View all option on the Build tab to get a full list of options to perform feature transformation and data wrangling, such as dropping unimportant columns, dropping duplicate data, replacing missing values, changing data types, and combining columns to create new columns.

Machine Learning 111

Machine Learning Machine Learning Data Governance ML 111

IBM Journey to AI blog

DECEMBER 16, 2022

Let’s look at five benefits of an enterprise data catalog and how they make Alex’s workflow more efficient and her data-driven analysis more informed and relevant. A data catalog replaces tedious request and data-wrangling processes with a fast and seamless user experience to manage and access data products.

Data Quality 52

Data Quality Data Governance Data Wrangling Data Scientist 52

phData

FEBRUARY 14, 2023

Insurance companies often face challenges with data silos and inconsistencies among their legacy systems. To address these issues, they need a centralized and integrated data platform that serves as a single source of truth, preferably with strong data governance capabilities.

Data Governance 52

Data Governance Data Silos Predictive Analytics Data Wrangling 52

Alation

APRIL 26, 2021

These folks will reference the data dictionary to understand data elements, which allows them to manage, move, merge, and analyze data with clarity. For complex projects, like data wrangling, modeling, or database design, a data dictionary is a helpful resource, especially to new hires. One per data source.

Database 52

Database Machine Learning Machine Learning Data Wrangling 52

ODSC - Open Data Science

JANUARY 18, 2024

Data scientists typically have strong skills in areas such as Python, R, statistics, machine learning, and data analysis. Believe it or not, these skills are valuable in data engineering for data wrangling, model deployment, and understanding data pipelines.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

NOVEMBER 5, 2024

Become A Data Scientist Specialisation by LinkedIn Learning LinkedIn Learning’s Become A Data Scientist Specialisation provides a well-rounded curriculum with a one-month free trial. Key Features 17-Hour Content : Covers Data Science essentials, statistics, and governance.

Data Science 52

Data Science Machine Learning Machine Learning Python 52

Pickl AI

AUGUST 9, 2024

Data Cleaning and Transformation Techniques for preprocessing data to ensure quality and consistency, including handling missing values, outliers, and data type conversions. Students should learn about data wrangling and the importance of data quality.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52