Data Visualization Analysis & Descriptive Statistics

О курсе

Develop essential skills for exploring, summarizing, and communicating data through this comprehensive course on **Data Visualization Analysis and Descriptive Statistics**. You’ll learn how to create meaningful charts, select the right visualizations for different analytical goals, and apply descriptive statistical techniques to understand patterns within datasets. From comparing performance metrics across business segments to conducting time-based KPI reporting, you’ll gain the ability to turn raw data into clear, actionable insights. Through hands-on practice in tools such as Python, SAS, Power BI, and modern BI platforms, you will apply aggregation, cross-tabulation, measures of central tendency and dispersion, and frequency analysis to interpret both numeric and categorical data. This course integrates the expertise of **SAS, IBM, Unilever, and Fractal Analytics**, giving you multiple perspectives on how organizations perform statistical exploration and visualization in real business settings. You’ll progress from foundational visualization techniques to advanced descriptive analysis, strengthening your ability to summarize datasets and communicate insights confidently. Ideal for aspiring data analysts and business intelligence professionals, this course equips you to explore data effectively and present findings with clarity and impact.

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