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Data science vs data analytics: Unpacking the differences

IBM Journey to AI blog

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. They may also use tools such as Excel to sort, calculate and visualize data.

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The Top Ten Certifications For Data Analysts

Pickl AI

Tools and Techniques Commonly Used Data Analysts rely on various tools to streamline their work. Software like Microsoft Excel and SQL helps them manipulate and query data efficiently. They use data visualisation tools like Tableau and Power BI to create compelling reports.

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Descriptive analytics

Dataconomy

Basic tools Using Excel allows for straightforward analyses and quick data visualizations. Business intelligence tools Advanced applications such as Power BI and Tableau provide sophisticated data visualization and reporting capabilities.