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Data – What It Is, What We Can Do With It

This is a completely free, self-paced course that individuals can start at a time of their choice.

 

This course serves as an introduction to the realms of data and statistics, equipping students with the skills to interpret descriptive statistics, causal analyses, and visualizations for extracting meaningful insights. By the course's conclusion, participants will possess the ability to thoughtfully analyze and critique analytics, becoming adept consumers of data-driven information.

 

The initial focus involves presenting a conceptual framework for understanding the diverse purposes of statistical analysis. The course navigates through the applications of data for descriptive, causal, and predictive inference, providing a comprehensive understanding of how analysts leverage data for various purposes. Subsequently, attention is given to the intricacies of developing a research study for causal analysis, computation, and interpretation of descriptive statistics, and the design of effective visualizations.

 

Tailored for individuals in fields increasingly reliant on data-driven decision-making, this course bridges the gap for those who may feel unequipped to interpret and evaluate data. By cultivating fundamental tools of data literacy, the course empowers participants to navigate the complex landscape of analytics, fostering a thoughtful and critical approach to data interpretation in diverse professional settings.

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Coursera
Data – What It Is, What We Can Do With It
Source: coursera.org