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Intake every 3 weeks! There is no "application deadline" — you can start any upcoming module!Intake every 3 weeks! — apply anytime!
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The Institute
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Intake every 3 weeks! There is no "application deadline" — you can start any upcoming module!Intake every 3 weeks! — apply anytime!
Studies
Admissions
The Institute
Resources
Intake every 3 weeks! There is no "application deadline" — you can start any upcoming module!Intake every 3 weeks! — apply anytime!
Studies
Admissions
The Institute
Resources

Basics of Statistics

Barcelona Campus
Apr 29, 2019 - May 17, 2019
In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them.
Barcelona Campus
Apr 29, 2019 - May 17, 2019
Vladimir Mazin

Faculty

Vladimir Mazin

Msc. Data Science at Harbour.Space University

Course length

3 weeks

Duration

3 hours
per day

Total hours

45 hours

Credits

60 ECTS

Language

English

Course type

Offline

Fee for single course

€1500

Fee for degree students

€750

Skills you’ll learn

Information ArchitectureLeadershipMarketing StrategyMobile TechnologyTeam Spirit
OverviewCourse outlineCourse materialsPrerequisites

Overview

In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. We will discuss the methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance).

We will discuss methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in.

Also, we will go deeper into the matter of inferential statistics. Inferential statistics are concerned with making inferences based on relations found in the sample, to relations in the population.

We will start by considering the basic principles of significance testing: the sampling and test statistic distribution, p-value, significance level, power and type I and type II errors. We will then consider a large number of statistical tests and techniques that help us make inferences for different types of data.

For those who are already familiar with statistical testing: We will look at t-tests for 1 mean (paired differences) and 2 means, the Chi-square test for independence, and among others non-parametric tests like Wilcoxon and Kruskal-Wallis.

Learning highlights

  • Get to know methods of descriptive statistics
  • Be introduced to methods of inferential statistics
  • Know how to calculate and generate statistics themselves using freely available statistical software
  • Get to know basic principles of significance testing
  • Get to know concrete statistical tests such as z-tests for 1 and 2 proportions, t-tests for 1 mean (paired differences) and 2 means and others

Course outline

4 classes

Dive into the details of the course and get a sense of what each class will cover.
Monday
Tuesday
Wednesday
Thursday
Friday
Monday
1

Introduction, Exploring data:

About the course, How it’s organised, Data and visualisation

Tuesday
2

Exploring data (cont.):

Measures of central tendency and dispersion, Z-scores and example

Wednesday
3

Correlation and Regression:

Correlation, Regression, Caveats examples

Thursday
4

Probability Distributions:

Probability distributions, Mean and Variance of a Random Variable, The normal distribution, The Binomial distribution

Prerequisites

This course is one of three in a wholistic series.

Students that have already taken MSL-111 and those with prior experience with HTML, CSS, and Javascript building simple web pages will be good candidates for this module.

Vladimir Mazin

Faculty

Vladimir Mazin

Msc. Data Science at Harbour.Space University

In 2012 with scientific research in Algebra, Vladimir won 1st place at the National contest in Russia, the Intel-Avangard, and became a finalist of the Intel ISEF.

After school, he enrolled for Bachelors at ITMO University for the programme of Applied Math and Programming. During his Bachelor's, he participated in several educational projects: in 2013 he was a coordinator of the national science fair for school students - BalticSEF; in 2014 he was a teacher in the LCME summer school, teaching two courses on maths. In the last years of his Bachelors, Vladimir entered the centre of additional higher education, Computer Science Center, for the programme of Software Engineering. In the end of summer of 2015, he completed a 3-month internship as a Software Developer.

See full profile

Apply for this course

Snap up your chance to enroll before all spaces fill up.

Basics of Statistics

by Vladimir Mazin

Total hours

45 Hours

Dates

Apr 29 - May 17, 2019

Fee for single course

€1500

Fee for degree students

€750

How to secure your spot

Complete the form below to kickstart your application

Schedule your Harbour.Space interview

If successful, get ready to join us on campus

FAQ

Will I receive a certificate after completion?

Yes. Upon completion of the course, you will receive a certificate signed by the director of the program your course belonged to.

Do I need a visa?

This depends on your case. Please check with the Spanish or Thai consulate in your country of residence about visa requirements. We will do our part to provide you with the necessary documents, such as the Certificate of Enrollment.

Can I get a discount?

Yes. The easiest way to enroll in a course at a discounted price is to register for multiple courses. Registering for multiple courses will reduce the cost per individual course. Please ask the Admissions Office for more information about the other kinds of discounts we offer and what you can do to receive one.