By taking this module, you will gain a data science skillset. With these skills, you will be able to write computer programs that can read, process and analyse textual and numerical data. You will be able to generate plots and interactive visualisations of data. You will understand how to apply statistical methods to the interpretation of results. You will be able to use data analysis in the decision-making process. You will also learn about a range of application domains for data science.
- Dr. Tony Russel-Rose
- Introduction and development environment
- Working with different types of data
- Correlation and regression
- Distributions and significance
- Processing text data
- Decision making based on data analysis: from correlation to causation
- Introduction to data visualisation
- Time-series data visualisation
- Scientific data visualisation
- Case studies: different contexts for data analysis
One two-hour unseen written examination and coursework (Type I)
- At the time of this writing, you can apply for automatic RPL for this module if you obtain the IBM Data Science Professional Certificate.
Python