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Course on data analysis and data mining techniques in Data Science

3 weeks (32h.)

This course will allow you to learn and understand the fundamentals of Data Science. You will learn the steps associated with the execution and development of a data science project and the importance of data collection, given the impact this has on decision-making. In addition, you will understand the three essential steps in data management: collection, analysis and interpretation.

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10% lump sum discount

Academic information

Why study this course?
  • Informed decision-making: Data is an invaluable source of information. By learning data analysis, data mining and data visualisation techniques, you can extract meaningful insights and make more informed, evidence-based decisions.
  • Identification of patterns and trends: Data contains hidden patterns and trends that are not always obvious to the naked eye. By applying data mining and analysis techniques, you can uncover relationships, correlations and behaviours.
  • Detection of anomalies and fraud: Data analysis is a powerful tool to identify anomalies or suspicious patterns that could indicate fraud or unwanted activities.
  • Process optimisation and efficiency: Data analytics can help identify areas for improvement in business processes and find opportunities to increase efficiency and reduce costs.
  • Segmentation and personalisation: Data mining and analysis techniques allow segmenting customers into homogeneous groups with similar characteristics. This is useful for more effective marketing campaigns, personalising the user experience.
  • For those who want to learn analysis techniques from scratch.
Program aims
  • Execution and development of a Data Science project
  • Detecting problems in data preparation
  • Mathematical models for data analysis
Professional skills

By acquiring these skills, you could consider the following career paths: data analyst, data scientist, business intelligence (BI) specialist, data consultant, digital marketing specialist, user experience (UX) specialist, market research specialist, operations and logistics specialist.

Methodology
  • Practical activities from minute 1
  • For each unit there will be a multiple-choice test and at the end of the course a real case will have to be solved.

Study plan

This course will allow you to learn and understand the fundamentals of Data Science. You will learn the steps associated with the execution and development of a data science project and the importance of data collection, given the impact this has on decision-making. In addition, you will understand the three essential steps in data management: collection, analysis and interpretation.

Data quality and life cycle
  1. Definition of data science
  2. Data quality

Throughout this topic, we will focus on knowing and understanding the fundamentals of Data Science, an extremely important discipline nowadays.
We will also discuss the steps associated with the execution and development of a data science project, binding roles, general applications and, finally, we will address the issue of data quality and its derivatives.

Data preparation and pre-processing
  1. Objectives and initial reflection
  2. What is data collection?
  3. Data science work process
  4. Data Management
  5. Data Governance
  6. Data preparation or Data Wrangling
  7. Phases of Data Wrangling
  8. Data Wrangling in Python
  9. Data cleaning

Data is the main ingredient of the data scientist's work. Without it, there is no analysis, no models... Without data we have no vision of anything. That is why it is essential to start building our knowledge of this field in this part. We are going to explain the importance of data collection so that you understand that the impact of the decisions made during this process can be decisive in the rest of the tasks that a data scientist executes in his day to day. In addition, we will present different use cases to offer you all the initial scenarios that will open the door to the world of analysis and modelling.

*The academic program may be subject to changes in line with the changing demand for specific skills in the market. Your employability is our goal.