Beschreibung des Angebots

The participants learn essential statistical methods and data analysis techniques for data-driven projects. They understand key concepts like frequency interpretation, measures of central tendency (mean, median, mode), sampling, and hypothesis testing. They master data preparation, cleaning, and handling missing data, and explore data analysis approaches for social science, big data, and data mining. They grasp data visualization using tools like PowerBI, Tableau, and Excel, and gain experience with SPSS, JASP, and multivariate analysis techniques. They learn how to communicate data insights through infographics, reports, and presentations.

As businesses increasingly rely on data-driven decisions, this knowledge enables more accurate forecasting, trend identification, and problem-solving, meeting the growing demand for data professionals.

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Contents:

• Statistics Basics
• Data Preparation
• Analysis Techniques
• Visualization & Tools
• Effective Communication