From data analyst to data scientist
22 of the 63 essential skills of a data scientist are already essential for a data analyst — about 35% of the job, before you learn anything new. It is the closest move from data analyst in the whole taxonomy.
These numbers compare two occupations, not you and a job. What you personally already cover depends on what you have actually done.
- 22
- skills carry over
- 41
- would be new
- 35%
- of the target job covered
- 63
- essential skills of a data scientist
What a data scientist does
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
What carries over
22 skillsEssential in both jobs. This is the part of the move you have already made.
- collect ICT data
- data engineering
- data ethics
- data mining
- data models
- data science
- data visualisation software
- establish data processes
- execute analytical mathematical calculations
- handle data samples
- implement data quality processes
- information categorisation
- information extraction
- interpret current data
- normalise data
- perform data cleansing
- query languages
- resource description framework query language
- statistics
- use data processing techniques
- use databases
- visual presentation techniques
What would be new
41 skillsEssential for a data scientist and not for a data analyst. Note that the taxonomy describes activities rather than tools, so some of these may be things you already do under a different name.
- apply for research funding
- apply research ethics and scientific integrity principles in research activities
- build recommender systems
- communicate with a non-scientific audience
- conduct research across disciplines
- deliver visual presentation of data
- demonstrate disciplinary expertise
- design database scheme
- develop data processing applications
- develop professional network with researchers and scientists
- disseminate results to the scientific community
- draft scientific or academic papers and technical documentation
- empirical analysis
- evaluate research activities
- increase the impact of science on policy and society
- integrate gender dimension in research
- interact professionally in research and professional environments
- manage data collection systems
- manage findable accessible interoperable and reusable data
- manage intellectual property rights
- manage open publications
- manage personal professional development
- manage research data
- mathematical modelling
- mentor individuals
- online analytical processing
- operate open source software
- perform project management
- perform scientific research
- promote open innovation in research
- promote the participation of citizens in scientific and research activities
- promote the transfer of knowledge
- publish academic research
- quantitative analysis
- report analysis results
- scientific literature
- speak different languages
- statistical modeling techniques
- synthesise information
- think abstractly
and 1 more
Other moves from data analyst
2 roles- artificial intelligence engineer12 skills in common
- data quality specialist12 skills in common
No account needed to start
How far are you from being a data scientist?
MyNodes reads your CV once, maps it to this same taxonomy, and shows you which roles you are already closest to and the few skills that would open the most doors. The file is deleted as soon as it has been read.