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  EVENT

Programming for Big Data Part I

This course builds on the theoretical knowledge gained in the Data Science course to focus on the practical applications of working with Big Data. Students will study a variety of programming languages and work in- depth with the Python language to implement a Map Reduce algorithm on a work-based data set.

  • Duration: 4 weeks plus final assessment
  • Delivery Mode: Online

BENEFITS

The course addresses Programming for Big Data by providing students with an understanding of Big Data fundamentals and gaining technical proficiency in Python, Hadoop and R as Big Data tools.

Students will explore the Big Data environment including storage, modern databases, data warehousing, graph and image processing and text analytics. Additional topics that will be covered include data visualisation and ethics.

WHAT YOU WILL LEARN

  • Comparing and contrasting Big Data types
  • Appraising Big Data algorithms
  • Analysing a subset of the languages used to solve Big Data problems
  • The uses of Hadoop architecture
  • Solving basic programming problems using Python
  • Python Programming skills
  • Introduction to R programming

On completion of this course, you will have created the following assets:

  • A variety of Python programmes
  • A selection of R programmes

REQUIREMENTS, ASSIGNMENTS & ASSESSMENT

It is recommended that students complete the online Data Science course or have demonstrable data science experience before starting this course. Assignments are based on work-based business challenges. 

Students will be given course specific-assignments that both reinforce the learning and provide work-based experience of applying new skills.

All assignments are subject to a rigorous assessment framework.


Members – book your place at this event for the special price of just  €1350.00

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Members' price:

€1350.00

Members:  Book Here  

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Date(s):

9th Apr (Mon) to 4th May (Fri)

Time(s):

Begins at 00:00 and ends at 00:00

Venue:

  • Price:
    (non-members)

€1350.00   –   Non-members register here >>

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