Online University Expert in Data Science

Master data science and boost your career with a practical and innovative approach

Nid: 27931
Syllabus

1. University Expert in Data Science (15 ECTS)

You will be trained to master data analysis and its application in strategic business decision-making through the following modules:

Course 1: Fundamentals of Data Science. 5 ECTS

This course provides a balanced introduction between theory and practice in data science. It covers statistical fundamentals for data science and the use of the R programming language, concluding with a practical case application. This approach ensures the acquisition of basic statistical foundations and the necessary tools for their use in real-world data science studies

Course Syllabus

1. Introduction to Data Science

  • Basic concepts and the role of data in today’s society
  • Life cycle of a data science project
  • Types of data: Structured, Unstructured, and Semi-structured
  • Ethics and privacy in data management

2. Statistical Fundamentals for Data Science

  • Basic concepts: population, sample, and statistical parameters
  • Variables and measurement scales
  • Sampling methods and bias
  • Descriptive statistics
  • Probability and distributions
  • Statistical inference
  • Correlation and regression

3. Introduction to the R Programming Language

  • Working environment and basic concepts
  • Data manipulation: Importing, exporting, cleaning, and transformation
  • Visualization and graph creation
  • Descriptive statistics in R

4. Practical case study

  • Definition of a problem and objectives
  • Data collection and preparation
  • Data analysis using R
  • Result visualization and report generation
  • Interpretation of results, limitations, and areas for improvement

Course 2: Data and business. 5 ECTS

In today’s data-rich environment, understanding how data generates knowledge and supports business growth is essential. Modern business management relies on the ability to exploit and analyze data for strategic decision-making.

Better responses to common questions and the ability to ask new ones are possible today thanks to data science applied to business management.

This course bridges the gap between data science and business leadership, enabling professionals to leverage data-driven insights for innovation and strategic planning. It is designed for professionals with or without direct experience in business management.

Course Syllabus

1. Introduction to Data Science in Business

  • Overview of data science for business
  • Good data, bad data and fake news
  • Big data applied to city management

2. Data analysis

  • Methods for analyzing data
  • Methods for solving forecasting problems
  • Business forecasting case studies

3. Business case study

  • Description of a business problem
  • Solution and analysis of results

Course 3: Business intelligence. 5 ECTS

In today's business world, organizations must learn how to generate actionable insights from data. Business Intelligence enables companies to leverage data effectively, turning it into valuable decision-making tools.

Course syllabus

1. Purpose and utility of business intelligence

  • Data driven decision-making
  • Business intelligence projects
  • Key business indicators

2. Data management

  • From data silos to productivity: Data Warehousing
  • Structured and organized data: The Multidimensional Model
  • Data governance and supporting platforms

3. Data analysis

  • Business intelligence platforms
  • Augmented analytics