Introduction to Real World Data Management

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Introduction to Real World Data Management - Course Details

Delve into the course contents and find out about the faculty members.

Single Course Price:

800.00 EUR (tax exempt)

Instructor:

Alexandru Cernat, PhD (University of Manchester)

Video lecture:

Alexandru Cernat, PhD (University of Manchester)

 

Course Dates

To see all courses in the upcoming term click here.

 

This course is part of the Mannheim Data Science Certificate: R-Programming.

Book this course or the entire certificate here!

In order to book the course with alumni conditions, please get in touch with Manon Pfeifer directly.

Course Description

Short Course Description
Data is omnipresent in the contemporary world coming in different shapes and sized: from survey data to found data. In order to make use of such data through analysis it is necessary first to import and clean it. This is often one of the most time consuming and difficult parts of data analysis. In this course you will learn both the conceptual steps needed in preparing data for analysis as well as the practical skills to do this. The course will cover all the essential skills needed to prepare data be it survey data, administrative data or found data.

Prerequisites
No prerequisites.

Course Objectives
By the end of the course, students will…

  • understand the stages involved in preparing data for analysis
  • understand the concept of tidy data
  • understand the basics of using R
  • know how to write their own functions and loop over them
  • know how to import and export data
  • know how to clean data in R
  • know how to merge data
  • know how to manipulate textual data
  • know how to manipulate date/time data
  • know how to use tables and graphs to explore data

Course Composition
This is a 4 ECTS course, which runs for 8 weeks. The content of the course is broken down into 8 units:

  1. The basics of R
  2. Practical 1
  3. Data importing and cleaning
  4. Practical 2
  5. Exploring Data
  6. Practical 3
  7. Learning how to deal with text and date information
  8. Practical 4

Learning and Teaching Methods
In this course, you are responsible for watching video-recorded lectures and reading the required literature for each unit prior to participating in mandatory weekly one-hour online meetings where students have the chance to discuss the materials from a unit with the instructor. In addition, students are encouraged to post questions about the materials covered in the videos and readings of the week in the forum before the meetings.

Grading
Grading will be based on:

  • 4 fortnightly homework assignments (worth 60% total)
  • Participation in discussion during the weekly online meetings and submission of questions to the forum (demonstrating understanding of the required readings and video lectures (worth 10%)
  • A final project (worth 30%)

 

ZFU Certification and Online Dispute Resolution

ZFU Certification

The Mannheim Master of Applied Data Science & Measurement program is certified according to the regulations of the ZFU (Staatliche Zentralstelle für Fernunterricht).

 

 

Online Dispute Resolution

Online dispute resolution according to Art. 14 Sect. 1 ODR-VO: The European Commission provides a platform for online dispute resolution (ODR). You can find more information under http://ec.europa.eu/consumers/odr/

MANNHEIM BUSINESS SCHOOL (MBS)

Located in the heart of the German and European economy, Mannheim Business School (MBS), the umbrella organization for management education at the University of Mannheim, is considered to be one of the leading institutions of its kind in Germany and is continuously ranked as Germany’s #1.

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