Data Visualization & Storytelling

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Related lectures (32)

Page 3 of 4

Data Science for Engineers: Part 2

Explores data manipulation, exploration, and visualization in data science projects using Python.

Advanced Pandas Functions

Focuses on advanced pandas functions for data manipulation, exploration, and visualization with Python, emphasizing the importance of understanding and preparing data.

LabVIEW: Data Processing and Visualization

Introduces LabVIEW for data processing and visualization, covering topics like waveform synchronization and color lookup tables.

Economy-wide Material Flow Accounts

Explores economy-wide material flow accounts, analyzing material flows in an economy and their environmental implications.

Digital Urban History: QGIS Practical Session

Covers the practical use of QGIS for spatial data analysis and visualization, including georeferencing historical maps and manipulating vector data.

Data Visualization: Principles and Practices

Explores data visualization principles, including chart navigation, histograms, scatter plots, box plots, and color usage.

Handling Data: Data Models and Wrangling

Explores data handling fundamentals, including models, sources, and wrangling, emphasizing the importance of understanding and addressing data problems.

Introduction to Spark Runtime Architecture

Introduces Apache Spark, covering its architecture, RDDs, transformations, actions, fault tolerance, deployment options, and practical exercises in Jupyter notebooks.

Hydrostatic Pressures Figure in ECG

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

Clustering & Density Estimation

Covers dimensionality reduction, PCA, clustering techniques, and density estimation methods.