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Introduction to Statistical Analysis for Data Analysts

Unlock the power of statistics for data analysts. You'll explore a business hypothesis and analyze a dataset via a statistical analysis. You'll see the analysis, variables, limitations, results, and opportunities for informed business decisions.

Joan Bajorek - Pluralsight course - Introduction to Statistical Analysis for Data Analysts
by Joan Bajorek
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What you'll learn

Navigating the complexities of statistical analysis on real business data can be challenging for data analysts. In this course, Introduction to Statistical Analysis for Data Analysts, you’ll gain the ability to use statistical methods to analyze data and make informed business decisions.

First, you’ll explore the fundamentals of statistical analysis, including key concepts such as population, sample, variable, and dataset. Next, you’ll discover how to differentiate between categorical and numerical data, and learn essential statistical methods like descriptive and inferential statistics.

Finally, you’ll apply your knowledge to real-world data analysis using RStudio, where you’ll test hypotheses, create visualizations, and effectively communicate your findings. When you’re finished with this course, you’ll have the skills and knowledge of statistical analysis needed to analyze data and influence business decisions, all while communicating your results clearly to both technical and non-technical stakeholders.

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About the author

Joan Bajorek - Pluralsight course - Introduction to Statistical Analysis for Data Analysts
Joan Bajorek

Joan Palmiter Bajorek is a data, analytics, and AI nerd based in Seattle. With a Linguistics MA and PhD in multimodal AI/speech language tech, she loves data and customer projects.

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