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|
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Type: |
OBL |
Curs: |
1 |
Period: |
S semester |
ECTS Credits:
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2 ECTS |
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Group |
Teacher |
Department |
Language |
|---|---|---|---|
Year 1 |
Marc Torrens Arnal |
Operaciones, Innovación y Data Sciences |
ENG |
Why is learing about Business Analytics and Decision-making important?
Advanced Data Analytics is the next frontier for productivity, innovation and competition. Digitalization is fully taking place in private and public sectors generating vast amounts of relevant data. Data is the new oil of the economy, and this course is about extracting value from data.
On the other hand, there is and will be a significant shortage of analytical talent both in a technical and management positions. This course is not about becoming a data scientist but about becoming a manager that deeply understands the potential of data anlytics to solve real business needs. It will become key for managers to be able to talk the same language as data scientists. The best way to master in leading and managing Big Data teams is to fully understand what they are doing. This new skill will be needed in all stages of a company and for all different departments.
The main objective of this course is to educate yourself to be able to improve decision-making in any discipline and organization by using business analytics. We will learn how to use existing platforms to perform many data analytic tasks without requiring programming skills.
The objective of this course is therefore to introduce concepts of Big Data and business analytics, focussing in prticular on the interpretation and validity of the results that are obtained as well as on how to use them to create new strategies. To this end, we will introduce BigML that will provide us the perfect platform for statistical and Machine Learning tasks. At the end of the course, students should:
- Be familiar with Big Data and Advanced Analytics.
- Be acknowledgeable on how companies are leveraging data techniques to outperform.
- Understand the very basics of statistics applied to business and decision-making
- Be able to solve a business case applying Big Data and Advanced Analytic techniques and Machine Learning.
By the end of the course, participants are expected to have acquired the Big Data fundamentals and be capable of analyzing a Business Analytics problem. They should be able to undrestand, discuss and define Big Data and analytics stretegies for real business situations.
The course format and methodological approach are based on a combination of explanations and practical parts. During the sessions participants will be provided with the material needed to follow ths course. The material includes both the theoretical content of the different subjects to be discussed and the data needed to practice the concepts learned.
The main objective of the course will be the resolution of a business case which will be presented at the beginning of the course.
Participants will be provided with real datasets for practices and will work in groups to solve the business case by applying quantitative methods. In each session, groups will be provided with some challenges related to it that they will have to solve before the following session.
The course is divided in three main parts:
1. Fundamentals of statistics and data visualization will be given in the first introductory sessions. These sessions include practice cases coming from real business situations.
2. Four main expositive lectures are given along with real cases in the business world. In addition, weekly challenges related with the main business case of the course will be presented. Those challenges will be solved in groups.
3. The last session will focus on how to create strategies based on analytics, estimate their impact on a business organization and build implementation plans.
Students will be grouped by teams to work together on practical exercises. They will be asked to solve a business case during the course, and make a final presentation with their findings and results. students will be provided with extra help and specific tutorial sessions to maximize their findings and results.
All students will be graded using same criteria, no matter their role.
Students may use their laptops/tablets on the lecture/practice sessions ONLY for the course activities.
Group |
Teacher |
Department |
|---|---|---|
Year 1 |
Marc Torrens Arnal |
Operaciones, Innovación y Data Sciences |
From 2021/2/1 to 2021/2/9:
Each Monday from 9:30 to 11:45. (Except: 2021/2/8)
Each Tuesday from 9:15 to 11:30. (Except: 2021/2/2)
From 2021/2/15 to 2021/2/25:
Each Thursday from 12:45 to 15:00. (Except: 2021/2/18)
Each Monday from 9:00 to 11:15.
From 2021/3/8 to 2021/3/18:
Each Monday from 9:00 to 11:45. (Except: 2021/3/15)
Each Thursday from 17:45 to 18:45. (Except: 2021/3/11)
Each Thursday from 17:45 to 19:00. (Except: 2021/3/11)
Tuesday 2021/6/8 from 13:45 to 14:00.