Language: NOR | ENG
2021/2022

xxx6 Applied Data Analytics

Læringsutbytte

Knowledge 

Upon completion of the course, the student can: 

  • describe the process of gathering and sampling data from various data sources, 
  • define data types and structures and explain their uses in data analysis, 
  • define conditional statements and loops and explain their use in data analysis, 
  • interpret selected descriptive statistics and data visualizations, 
  • explain elements of algorithmic thinking and 
  • discuss key findings from research on the relation between business/data analytics and business value. 

Skills 

Upon completion of the course, the student can: 

  • access and collect local and web-based data, 
  • create and manipulate data sets and shape them for further analyses, 
  • analyse the prepared data using descriptive statistics, visualizations, regression models and various business intelligence tools for data analysis and 
  • summarize key insights from data analyses into user-friendly reports. 

General competence 

Upon completion of the course, the student can: 

  • plan and manage data analytics projects which involve the topics covered in the course and 
  • recommend computing tools and techniques for efficient implementation of such projects.

Innhold

This course provides students with a solid foundation within applied data analytics and programming. The following topics are covered. 

  • Data sources and data types 
  • Data organization and descriptive statistics 
  • Data visualization 
  • Probability and statistical interference 
  • Linear regression 
  • Business intelligence tools for data analysis

Arbeids- og undervisningsformer

The following teaching methods are used. 

  • Lectures 
  • Problem solving sessions 
  • Tutorial videos 
  • Case studies 
  • Quizzes

Obligatoriske krav som må være godkjent før eksamen kan avlegges

  • Students must pass three out of four mandatory course requirements to be allowed to take the exam. 
  • 50% attendance in classes is required.

Eksamen

A four-hour individual exam under attendance.

Tillatte hjelpemidler til eksamen

  • Open book: The use of all software and programming tools used in the course and installed on the student’s computer is permitted.