ODSC - Open Data Science

MARCH 13, 2023

First, there’s a need for preparing the data, aka data engineering basics. Machine learning practitioners are often working with data at the beginning and during the full stack of things, so they see a lot of workflow/pipeline development, data wrangling, and data preparation.

Machine Learning 94

Machine Learning Machine Learning Data Wrangling Data Science 94

Alation

MAY 27, 2021

Rather than locking the data away from those who need it, this approach instead welcomes more users to the data — but adds guardrails to guide use. Deprecation warnings, SQL AutoSuggest, and quality flags are examples of “guardrail features.” Provide as much information as possible to make the data easier to trust.

Data Governance 98

Data Governance Data Quality Data Wrangling SQL 98

Pickl AI

APRIL 21, 2025

Real-World Example: Healthcare systems manage a huge variety of data: structured patient demographics, semi-structured lab reports, and unstructured doctor’s notes, medical images (X-rays, MRIs), and even data from wearable health monitors. Ensuring data quality and accuracy is a major challenge.

Big Data 52

Big Data Big Data Data Science Machine Learning 52

ODSC - Open Data Science

APRIL 3, 2023

Skills like effective verbal and written communication will help back up the numbers, while data visualization (specific frameworks in the next section) can help you tell a complete story. Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Dataconomy

MAY 16, 2023

Programming skills: Data scientists should be proficient in programming languages such as Python, R, or SQL to manipulate and analyze data, automate processes, and develop statistical models. Data visualization and communication: Data scientists need to effectively communicate their findings and insights to stakeholders.

Data Scientist 156

Data Scientist ML ML Machine Learning 156

Pickl AI

JUNE 7, 2024

Top contenders like Apache Airflow and AWS Glue offer unique features, empowering businesses with efficient workflows, high data quality, and informed decision-making capabilities. Introduction In today’s business landscape, data integration is vital. Scalability: Designed to handle large volumes of data efficiently.

ETL 40

ETL Data Quality Data Pipeline Data Warehouse 40

ODSC - Open Data Science

SEPTEMBER 20, 2023

Register now while tickets are 50% off. Prices go up Friday!

Data Wrangling 52

Data Wrangling Data Science Machine Learning Machine Learning 52