In the modern digital landscape, mastering data analytics tools is essential for turning raw information into meaningful insights. In this course, you will learn to use key data analytics libraries for data preparation, filtering, extraction, aggregation, and classification. You will also develop your skills in data visualization, research, and statistical analysis to support machine learning applications. Alongside technical competence, you will gain a strong understanding of the ethical, responsible, and sustainable dimensions of data analytics. By the end of this course, you will be able to process and analyze data effectively while ensuring your work aligns with modern standards of accountability and integrity.
The student knows the main content of the selected data analytics libraries and is able to utilize them for data preparation and statistical processing for utilization in machine learning. The student has central knowledge, skills and understanding on ethical, responsible, and sustainable development -conforming, data analytics.
- Data preparation: filtering, extraction, aggregation and classification
- Data visualization, research and analysis
- Use of suitable data analytics libraries
- Main dimensions and best practices of ethical, responsible, and sustainable development –conforming, data analytics.
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