Applied Data Science for Business

Location
Pearson College London
London - England

Dates
3 weeks
January or July

Investment
£ 5.682 + Enrollment: £ 60
Check out the prices with the scholarship app


Program Theme

Developing advanced skills in Data Science allowing professionals to manipulate, analyze and work with data using Python, supporting the decision-making process in Corporate Strategy.

Target

Students and young professionals from different academic fields interested in developing knowledge in Data Science applied in the corporate decision-making process. Interested candidates must have basic knowledge in Statistics and Python programming.

Objectives

Improve abilities related to fundamentals of Data Science applied in companies. Students will be guided in the development of a comprehensive project on real database analysis using Python, from managerial decisions to be taken to presenting a final report to managers. The course’s main objective is to prepare students to conduct similar projects in companies they work for, adding a great advantage to students’ CVs. The projects will be developed by multidisciplinary groups of students who have previous academic experience in Statistics, Programming and Corporate Management, in a diverse and rich discussion environment.

Benefits for scholarship holders participating in this program:

- Business English course for non-native speakers with no additional costs
- Assistance and documents for UK visa
- Academic and logistics preparation for the program

Why should I attend this course?

  • Ph.D professors and market specialists with vast executive experience;
  • Two Executive Meetings with local managers along with the main program;
  • Today’s competition among companies is more intense than ever. Working simultaneously in different markets and countries, managers of large corporations must be capable of taking decisions considering a solid analysis of current data and future projections;
  • There is a high demand for professionals who know how to use Data Science tools applied in companies. This course opens a once-in-a-lifetime opportunity to develop your career in your country or abroad.

Applied Data Science for Business

Program Profile
3 weeks of full-time classes and company visits
Workload
80h classroom/activities/ company visits
Additional Activity
Business English module included in the program with 27 hours of classes
Classroom Size
From 20 to 40
students
Certification
Certificate in Executive Management (Applied Data Science for Business) and Business English
Language
English

Participate in the selective process to apply for a 50% scholarship!

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Content

Module 1


Business English

Perfecting your communication skills, focusing on Business Management jargon and expressions commonly used by managers of international companies.

Module 2


Selecting and Preparing Data for Business Applications

Advanced Data Science Concepts Applied to the Business Decision Making Process; Data Acquisition and Preparation; Exploratory Data Analysis; Business Visits and Executive Presentation.

Module 3


Integrating Data Science into the Business Management Process

Data Modeling & Evaluation; Deployment & Model Monitoring; Integration between Statistical Predictions and Business Decision Process; Capstone project presentation; Business Visits and Executive Presentation; Graduation Ceremony.

Applied Data Science for Business

Pearson College London is one of the most modern and prestigious higher educational institutions. It is the only company listed on the Financial Times Stock Exchange 100 Index (FTSE 100) delivering degrees in the UK. Its faculty members are experts in several knowledge areas, among them, Innovation, Accounting, Law and Marketing.

Profile of students who have attended this course

  • ABICAB
  • Absortio Technologies
  • ADP Brazil
  • Agência Engine
  • Agimex SRL
  • Agrivalle Brazil
  • Alstom Brazil Transport & Energy
  • Amazon
  • Ambev
  • Amplio Consulting
  • APET
  • Apsis Consulting
  • ArcelorMittal
  • Armormax Kenya
  • Arrozeira Marina
  • Atento Brazil
  • Bodytech Gym
  • Itaú Unibanco
  • Latam
  • Pfizer

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