Data Analytics Project
Course code
IFI6259.DT
old course code
Course title in Estonian
Andmeanalüütika projekt
Course title in English
Data Analytics Project
ECTS credits
6.0
Assessment form
assessment
lecturer of 2024/2025 Autumn semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
lecturer of 2024/2025 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Course aims
Support the development of knowledge to work with existing datasets in different domains. To provide the knowledge and skills to design and implement data analytics projects.
Brief description of the course
The importance of data analysis in different areas. Datasets and their semantic understandability. Overview of the data analytics project life cycle. Executing a project through idea generation and project selection, resource allocation and organisation. Defining the purpose of the project and the research questions and defining the scope of the project. Obtaining data (e.g. from online repositories, databases) and preparation. Data cleaning and pre-processing. Dealing with missing data and outliers. Applying exploratory data analysis in a data analytics project. Descriptive statistics and data visualisation. Identifying patterns, trends and relationships in data. Applying machine learning techniques to a data analytics project. Use of regression analysis, classification and clustering algorithms, time series analysis and forecasting. Effective data visualisation and data storytelling. Structure and design of data analysis reports. Responsible use of data in data analytics projects. Presenting results to different audiences (e.g. target and stakeholder groups, media).
Learning outcomes in the course
Upon completing the course the student:
- understands the importance and nature of a data analytics project in different fields;
- has the knowledge to design and implement a data analytics project throughout the project life cycle;
- is able to apply the practices and procedures related to the data analytics process to the data set selected for a given project;
- is able to apply the practices and procedures related to the data analytics process to the data set selected for a given project;
- is able to carry out data analytics projects in different domains and to communicate project results and conclusions.
- understands the importance and nature of a data analytics project in different fields;
- has the knowledge to design and implement a data analytics project throughout the project life cycle;
- is able to apply the practices and procedures related to the data analytics process to the data set selected for a given project;
- is able to apply the practices and procedures related to the data analytics process to the data set selected for a given project;
- is able to carry out data analytics projects in different domains and to communicate project results and conclusions.
Teacher
Aira Lepik
Study programmes containing that course