Data Analysis and Exploration

О курсе

Learn how to analyze and explore datasets through this comprehensive course in the Data Analytics Skill Path. You will develop critical competencies including applying frequency analysis to summarize categorical data, using measures of central tendency and dispersion to summarize variables, performing aggregation and cross-tabulation to analyze relationships between variables, measuring correlations between numeric variables, applying visualization techniques to understand distributions and relationships, and implementing basic filtering mechanisms for user-driven segmentation. Through hands-on practice with Python (Pandas) and Power BI, you will explore, summarize, and visualize datasets to uncover meaningful insights. This course combines expertise from Edureka and Packt, providing multiple perspectives on data analysis approaches. You will progress from foundational data understanding to aggregation and grouping, then to correlation and visualization techniques, and finally to creating interactive dashboards with user-driven segmentation. The curriculum balances theoretical knowledge with practical exercises, preparing you to confidently analyze and explore complex datasets in professional settings. Perfect for aspiring data analysts seeking practical skills in both programmatic analysis (Python/Pandas) and business intelligence tools (Power BI).

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