Pickl AI

NOVEMBER 4, 2024

Its versatility enables it to be applied in various domains, including web development, automation, Data Analysis, and more. Popularity of Python in Data Science Python dominates the programming landscape, holding a worldwide market share of 17.7% in 2022, according to the PYPL Index.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Dataconomy

MARCH 5, 2025

Key skills: Proficiency in analytics tools like Spark and SQL, knowledge of statistical and machine learning methods, and experience with data visualization tools such as Tableau or Power BI. Data analytics: Identifying trends and patterns to improve business performance. Predictive modeling: Making forecasts based on historical data.

Data Scientist 91

Data Scientist Citizen Data Scientist Exploratory Data Analysis Machine Learning 91

Smart Data Collective

OCTOBER 17, 2022

Moreover, it should be able to perform end-to-end integration, transformation, enriching, masking and delivery of fresh data sets. The end outcome should be clean and actionable data that can be used by end users. While we are at it, a few tools are leading in 2022. Data Pipeline Architecture Planning.

Data Pipeline 145

Data Pipeline Data Warehouse ETL Exploratory Data Analysis 145