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Data Structures and Algorithms (I)
by Junhui DENG- 0.0
Approx. 26 hours to complete
By the end of this course, you will be able to evaluate data structures and algorithms in terms of asymptotic complexity, analyze storage/time complexity of iterative/recursive algorithms, implement Principles and methods in the design and implementation of various data structures Background on fundamental data structures and recent results...
Data Structures and Algorithms (II)
by Junhui DENG- 0.0
Approx. 37 hours to complete
Principles and methods in the design and implementation of various data structures Background on fundamental data structures and recent results...
Data Structures and Algorithms (IV)
by Junhui DENG- 0.0
Approx. 25 hours to complete
Principles and methods in the design and implementation of various data structures Background on fundamental data structures and recent results...
Data Structures and Algorithms (III)
by Junhui DENG- 0.0
Approx. 27 hours to complete
Principles and methods in the design and implementation of various data structures Background on fundamental data structures and recent results...
Python for Genomic Data Science
by Mihaela Pertea, PhD , Steven Salzberg, PhD- 4.3
Approx. 9 hours to complete
This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University. 1: Data Structures Part 1 (11:58) 2: Data Structures Part 2 (10:41)...
Advanced Data Visualization with R
by Collin Paschall- 4.8
Approx. 11 hours to complete
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Spatial Data...
Big Data: procesamiento y análisis
by Llorenç Badiella , Isabel Serra- 4.2
Approx. 13 hours to complete
En este sentido el curso pretende ofrecer recursos realistas en el contexto Big Data y por este motivo se trabajará des de una máquina virtual con la aplicación Jupyter como enlace para desarrollar los modelos y técnicas con PySpark....
Big Data: visualización de datos
by Quelic Berga Carreras , Julià Minguillón Alfonso , Teresa Sancho Vinuesa , Josep Curto Díaz , Ignasi Alcalde- 4.6
Approx. 9 hours to complete
“Visualización de datos” es el cuarto curso de la especialización “Biga Data- Uso práctico de datos masivos. Organizado en cuatro semanas, tiene por objetivo motivar e introducir los conceptos clave de la visualización de datos así como mostrar ejemplos en diferentes contextos. Los cuatro módulos en los que se estructura el curso son los siguientes:...
Measurement – Turning Concepts into Data
by Jennifer Bachner, PhD- 4.8
Approx. 11 hours to complete
When and Why to Standardize Your Data...
Graph Analytics for Big Data
by Amarnath Gupta- 4.3
Approx. 13 hours to complete
Want to understand your data network structure and how it changes under different conditions? Better yet, you will be able to apply these techniques to understand the significance of your data sets for your own projects. Welcome to Graph Analytics for Big Data Hands-On: Importing Data Into Neo4j Importing Data Into Neo4j - Supplementary Resources...