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40 Must-Know Data Science Skills and Frameworks for 2023

ODSC - Open Data Science

Analytics and Data Analysis Coming in as the 4th most sought-after skill is data analytics, as many data scientists will be expected to do some analysis in their careers. This doesn’t mean anything too complicated, but could range from basic Excel work to more advanced reporting to be used for data visualization later on.

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Top Data Analytics Skills and Platforms for 2023

ODSC - Open Data Science

As you’ll see below, however, a growing number of data analytics platforms, skills, and frameworks have altered the traditional view of what a data analyst is. Data Presentation: Communication Skills, Data Visualization Any good data analyst can go beyond just number crunching.

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Data science vs data analytics: Unpacking the differences

IBM Journey to AI blog

Data scientists will typically perform data analytics when collecting, cleaning and evaluating data. By analyzing datasets, data scientists can better understand their potential use in an algorithm or machine learning model. They may also use tools such as Excel to sort, calculate and visualize data.

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Five benefits of a data catalog

IBM Journey to AI blog

For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance. It uses metadata and data management tools to organize all data assets within your organization. Speed and self-service.