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Introduction to Data Science E-DAT540

This new online course enables you to become familiar with basic tools and processes used in Data Science, and work through the whole data lifecycle from loading, through cleaning and modeling, to storing the data.

Publisert: Endret:
Study points:

10

Level:

Master

Language:

English

Application deadline:

22. August

Price:

NOK 12 500,- + semester fee and course literature.

Course startup:

6. September 2021

The ability to create, manage and utilize data has become one of the most important challenges for practitioners in almost all disciplines, sectors, and industries.

Antorweep Chakraworty , Associate Professor

Content

Data Science

The ability to create, manage and utilize data has become one of the most important challenges for practitioners in almost all disciplines, sectors, and industries. In this course, students become familiar with basic tools and processes used in Data Science. Students work through the whole data lifecycle from loading, through cleaning and modeling, to storing the data. The work is performed using Python stack consisting i.a. of: IPython, NumPy, Pandas, Matplotlib, and Jupyter Notebooks. Students learn to structure their work using CRISP-DM and Data Science Process (Ask, Get, Explore, Model, Communicate and Visualize).

Learning outcome

Knowledge:

  • Execute tools to load, parse, clean, transform, merge, reshape, and store data.
  • Compare regular Python, NumPy, and Pandas data structures and choose one for the given problem. Use the IPython shell and Jupyter notebook for exploratory computing.
  • Execute simple machine learning or data mining algorithms.

Skills:

  • Organize data analysis following CRiSP-DM and Data Science Process
  • Build engaging visualizations of data analysis using matplotlib
  • Optimize data analysis applying available structure and methods
  • Evalute, communicate and defend results of data analysis
  • General qualifications:
  • Solve real-world data analysis problems following a well-structured process

Educational prerequisits

Programming knowledge

Course dates

The course will be started at 6. September and finished with a digital home exam at in week 49. The course consist of weekly lectures published as videos, and exercises. In addition threre will be 3 digital live sessions with the lecturer.

Examination

Mandatory exercises. All mandatory exercises must be passed.



Recommended previous knowledge

  • Introduction to programming

Changes may occur.

Click here to apply for the course Introduction to Data Science

Lecturer

Det teknisk- naturvitenskapelige fakultet



Institutt for data- og elektroteknologi
Førsteamanuensis

Administrational contact person

51833046
Divisjon for utdanning



UiS etter- og videreutdanning
Senior rådgiver