Remove Data Wrangling Remove Power BI Remove Predictive Analytics
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Descriptive analytics

Dataconomy

Diagnostic analytics Focused on understanding the reasons behind past outcomes, diagnostic analytics employs various methodologies to analyze causal relationships. Predictive analytics By leveraging historical data, predictive analytics forecasts future trends, helping businesses anticipate market changes.

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Data Science Career Paths: Analyst, Scientist, Engineer – What’s Right for You?

How to Learn Machine Learning

Data Visualization and Interpretation To make the data understandable to stakeholders, visualizations are created in the form of charts, graphs, and dashboards. Visualization libraries available in Python such as Matplotlib and Seaborn, and tools like Tableau and Power BI become crucial to telling stories that lead to insights.

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Data science vs data analytics: Unpacking the differences

IBM Journey to AI blog

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics.