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Big Data Analysis with Spark - University of California

edX
Online
5 Meinungen

Kostenlos

Wichtige informationen

  • Kurs
  • Online
  • Dauer:
    4 Weeks
  • Wann:
    Freie Auswahl
Beschreibung

Learn how to apply data science techniques using parallel programming in Spark to explore big data. With an apprenticeship you earn while you learn, you gain recognized qualifications, job specific skills and knowledge and this helps you stand out in the job market.With this course you earn while you learn, you gain recognized qualifications, job specific skills and knowledge and this helps you stand out in the job market.

Wichtige informationen

Voraussetzungen: Programming background and experience with Python required. All exercises will use PySpark (part of Apache Spark). Previous experience with Spark equivalent to CS105x: Introduction to Spark required.

Veranstaltungsort(e)

Wo und wann

Beginn Lage
Freie Auswahl
Online

Meinungen

A
Amar Ammouri
01.03.2017
Das Beste This course is vert importante for companys because they nées statistcals informations and tols for save this informations.

Zu verbessern Mathematicals knowlages and informatique.

Kurs abgeschlossen: März 2017 | Recomendarías este centro? Sí.
X
Xixi Wang
21.12.2016
Das Beste Great hands-on lab to kick you off rapidly. Be that as it may, the instructional class is not all that identified with the lab. Better bring it with a book on Spark.

Zu verbessern No negative aspects.

Kurs abgeschlossen: Dezember 2016 | Recomendarías este centro? Sí.
E
Ex-student
22.12.2016
Das Beste Incredible course association, particularly the harmony amongst hypothesis and practice. A few undertakings were too simple and some were not clear at in the first place, but rather piazza look normally made a difference. I consider this is a decent pyspark instructional exercise with clarification of start key elements.

Zu verbessern N/A.

Kurs abgeschlossen: Dezember 2016 | Recomendarías este centro? Sí.

Was lernen Sie in diesem Kurs?

Data analysis
Programming
Big Data
Spark
Science Techniques

Themenkreis

Organizations use their data to support and influence decisions and build data-intensive products and services, such as recommendation, prediction, and diagnostic systems. The collection of skills required by organizations to support these functions has been grouped under the term ‘data science’.

This statistics and data analysis course will attempt to articulate the expected output of data scientists and then teach students how to use PySpark (part of Spark) to deliver against these expectations. The course assignments include log mining, textual entity recognition, and collaborative filtering exercises that teach students how to manipulate data sets using parallel processing with PySpark.

This course covers advanced undergraduate-level material. It requires a programming background and experience with Python (or the ability to learn it quickly). All exercises will use PySpark (the Python API for Spark), and previous experience with Spark equivalent to Introduction to Spark, is required.