Lectures related to Data Processing

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

Covers the analysis of ECG heart rate data and respiratory flow measurements using Excel.

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

Covers the calibration and data analysis process for ConsO2 measurements, including input file selection and data interpretation.

Covers the basics of creating and customizing charts in Excel.

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

Covers the processing of EMG reflex figures and Excel charts.

Explores water consumption data in Geneva, including charts on consumption and losses, available datasets, and data processing phases.

Explores sizing reservoirs and dams using cumulative flow curves and tank dimensioning for dry and rainy periods.

Covers data wrangling techniques using Apache Hive for efficient big data management.

Covers the basics of Excel data analysis and forecasting techniques.

Covers best practices and guidelines for big data, including data lakes, architecture, challenges, and technologies like Hadoop and Hive.

Covers the process of EMG data analysis and signal inversion for further analysis.

Covers the analysis of ECG signals related to hemodynamics.

Covers the analysis of KMnO4 concentrations using data from a CSV file.

Introduces a course on Genetics & Genomics, focusing on R programming with interactive exercises.

Analyzes hydrostatic pressures in ECG using Excel tools for data visualization.

Covers the validation calculations for oxygen consumption in Excel.

Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.

Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.