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Lund University

Statistics: Business Analytics

<p>How do companies use data to understand our behaviour and make smarter decisions? In this course, you’ll explore Big Data and learn statistical methods that help solve real-world business challenges.</p><p>Business analytics is about using data to make smart, evidence-based decisions. This course is ideal if you…

  • Higher education
  • Information unavailable
  • 29 March 2027
  • Lund
  • Information unavailable
  • 50 %

Overview

<p>How do companies use data to understand our behaviour and make smarter decisions? In this course, you’ll explore Big Data and learn statistical methods that help solve real-world business challenges.</p><p>Business analytics is about using data to make smart, evidence-based decisions. This course is ideal if you have basic knowledge of statistics and want to learn practical methods for analysing data. You’ll gain tools to understand and apply data mining and business analytics in strategic decision-making.</p><p>The course focuses on how to build and use models to analyse large datasets. You’ll learn methods such as exploratory data analysis, visualisation, classification, prediction and clustering. We begin with data visualisation to help uncover patterns, then move on to regression models and hypothesis testing using real-world examples. Later, you’ll explore advanced techniques like discriminant analysis and clustering methods. You’ll work with different types of data - including categorical data, time series and networks - and learn the basics of building suitable models. All analysis is carried out using the statistical software R.</p>

Admission scores

Uppgift saknasVerified data is not connected to this education offering.

Entry requirements

General eligibility and knowledge corresponding to STAA41 Statistics: Basic course 1, 15 ECTS credits.

The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.

Source, measure and data quality
Source
Skolverket Susa-navet
Period
2027-03-29
Measure
Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
Population
Education offering e.uoh.lu.stae03.62303.20271
Last checked
2026-09-23T10:38:33.477975+00:00
Limitation
Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.

Programme content

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Study structure

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Application and important dates

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  2. Programme or course ends

Salary and salary distribution

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Common occupations after graduation

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Students

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Geographical background

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Previous upper-secondary schools and programmes

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Completion and outcomes

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About the provider

Lund University

Provider for the published education offering.

Sources and data quality

Education facts for the selected offering come from Skolverket Susa-navet.

Retrieved . Published . Times are shown in Swedish local time.

Source identity and publication version
Publication version
8e217193-f5fa-4778-b085-a4521fd03e8d
Education identity in the source
i.uoh.lu.stae03.62303.20271
Offering identity in the source
e.uoh.lu.stae03.62303.20271
Education-form source code
HS
Education code in the source
STAE03
Change time according to the source
2026-07-06T16:41:18

The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.