Data Analysis and Visualization with Python

Single Course

Data Analysis and Visualization with Python

Higher Vocational College

Online

12 August 2025

Full-time/Part-time

15 Credits

30 000 NOK

Loan Fund Approved

Learn how to analyze and visualize data using Python. This course introduces key programming concepts and industry-standard tools like Pandas, NumPy, and Matplotlib, equipping you with the skills to turn raw data into actionable insights.

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Course content

This course provides a hands-on introduction to programming and data analysis using Python. You’ll start with foundational programming concepts, including data types, operators, and control structures, before progressing to practical applications in data manipulation and visualization.

Using powerful libraries such as Pandas, NumPy, and Matplotlib, you’ll learn how to clean, process, and analyze datasets. You’ll also gain experience in visualizing data through charts, graphs, and reports, helping you communicate insights effectively.

Throughout the course, you’ll work with Jupyter Notebook to document your code and present findings in a structured format. Whether you're looking to enhance your career in data-driven fields or start working with Python for analytics, this course provides the practical skills needed to solve real-world data challenges.

Extended course information

School: Noroff Higher Vocational College (Noroff Fagskole)
Application deadline: Continuous admission. Applications are processed in the order they are submitted.
Language of instruction: English
Accreditations: NOKUT-accredited. Approved for loans and grants from the Norwegian State Educational Loan Fund (Lånekassen) on a part-time basis. As long as you take fewer than 30 credits per semester, you are considered a part-time student by Lånekassen. The requirement is that the study program must last at least one semester. If you wish to apply for financial support from Lånekassen, you must therefore choose the part-time study option. New regulations for funding education programs shorter than one semester may come into effect from autumn 2025. Read more about the competence loan here.
Duration and intensity: The course lasts 11 weeks on a full-time schedule or 19 weeks on a part-time schedule.
Credits: 15 ECVET

Hardware and software

We recommend the following specifications for a Windows-based machine, but M1 or newer MacOS based devices will also be suitable:

  • 500 GB hard disk (or 250 GB + cloud storage, e.g., Dropbox, OneDrive, Google Drive - recommended).
  • 8 GB RAM.
  • Core i5 processor.

Admission requirements

Noroff has ongoing admissions, and applications are processed in the order they are received. The earlier you apply, the earlier you can secure a study place.

To qualify for the program, you must have general study competence or vocational education with a professional certificate. It is also possible to apply based on recognized prior learning.

For international students, depending upon which country you have received your education from, the requirements will differ. Please use this website where you can find the specific requirements for your country at the bottom of the page.

You can read more about admission requirements here.

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