• Application Deadline
  • 28 days
    Duration
EdX is an online learning platform trusted by over 12 million users offering the Analyzing Big Data with Microsoft R Certificate in collaboration with MicrosoftX. Learn how to use Microsoft R Server to analyze large datasets using R, one of the most powerful programming languages.

About

The open-source programming language R has for a long time been popular (particularly in academia) for data processing and statistical analysis. Among R's strengths are that it's a succinct programming language and has an extensive repository of third party libraries for performing all kinds of analyses. 

Together, these two features make it possible for a data scientist to very quickly go from raw data to summaries, charts, and even full-blown reports. However, one deficiency with R is that traditionally it uses a lot of memory, both because it needs to load a copy of the data in its entirety as a data.frame object, and also because processing the data often involves making further copies (sometimes referred to as copy-on-modify). This is one of the reasons R has been more reluctantly received by industry compared to academia.

The main component of Microsoft R Server (MRS) is the RevoScaleR package, which is an R library that offers a set of functionalities for processing large datasets without having to load them all at once in the memory. RevoScaleR offers a rich set of distributed statistical and machine learning algorithms, which get added to over time. 

Finally, RevoScaleR also offers a mechanism by which we can take code that we developed on our laptop and deploy it on a remote server such as SQL Server or Spark (where the infrastructure is very different under the hood), with minimal effort.

This Analyzing Big Data with Microsoft Certificate from EdX in partnership with MicrosoftX is part of the Microsoft Professional Program Certificate in Big Data, and the Microsoft Professional Program Certificate in Data Science.

Detailed Programme Facts

  • Deadline and start date Application deadline and start date were not specified by the programme.
  • Programme intensity Part-time
    • Average part-time duration 28 days
    • Part-time variant
      Flexible
    • Duration description

      4 weeks

  • Languages
    • English
  • Delivery mode
    Online
  • More information Go to the programme website

Programme Structure

You will learn how to use MRS to read, process, and analyze large datasets including:
  • Read data from flat files into R’s data frame object, investigate the structure of the dataset and make corrections, and store prepared datasets for later use
  • Prepare and transform the data
  • Calculate essential summary statistics, do crosstabulation, write your own summary functions, and visualize data with the ggplot2 package
  • Build predictive models, evaluate and compare models, and generate predictions on new data

Lecturers

  • Seth Mottaghinejad - Data Scientist, Microsoft
  • Jonathan Sanito - Senior Content Developer, Microsoft

English Language Requirements

This programme requires students to demonstrate proficiency in English.

Academic Requirements

Prerequisites:

  • Familiarity with R

Tuition Fee

  • International Applies to you

    99 USD/full
    Tuition Fee
    Based on the original amount of 99 USD for the full programme and a duration of 28 days.
  • National Applies to you

    99 USD/full
    Tuition Fee
    Based on the original amount of 99 USD for the full programme and a duration of 28 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
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Funding

Check the programme website for information about funding options.

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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