Python and Data Analytics & Statistics

Course description

After completing the course, student has knowledge in theory and in practise to use Python Programming Language for Basic Data Analytics and Statistics tasks.

1.  Course Introduction
2. Python ReCap
3. Matrixies and DataFrames
4. Statistics (theory and implementation)
5. Probability Distributions and Variability
6. Relationships Between Variables
7. Data Visualization

Prerequisites

None.

Assessment criteria

Pass

After complete 80 % of the programming & quiz exercises. In addition, please write about two page (a4) learning diary about your learning during the course.

Course way of working and time table

Course is 100% online (Self-Study) course which can be done in own space.

Course enrolment info

• Ristiinopiskelupalveluun liittyneiden korkeakoulujen opiskelijat voivat ilmoittautua tälle opintojaksolle kotikorkeakoulunsa Pepissä/Pakissa
• Course is 100% online (self-study) course.
• Course can be done in own space.
• You can enrol to this course whenever it’s suitable for you 24/7
• You can start this course as soon as you have enrolled to it.