Big Data Applications: Analysis and Solutions

Related lectures (32)

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Explores the evolution from data analysis to AI and ML, emphasizing big data, machine learning, and social media interaction.

Covers the analysis of ergometry figures using Excel and the interpretation of respiratory and cardiovascular parameters.

Covers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.

Explores heart rate variability analysis using ECG data and its physiological significance.

Covers the fundamentals of data science, the scientific method evolution, the role of a data scientist, and the significance of data as the new oil.

Introduces collaborative data science tools like Git and Docker, emphasizing teamwork and practical exercises for effective learning.

Explores EMG signal processing techniques using Excel for data analysis and visualization.

Discusses the influence of Big Data on mobility planning and optimization, exploring its promises and limitations.

Explores graph mining in social networks, covering data analysis and community detection.

Covers the basics of creating and customizing charts in Excel.