The field of Data Science is still very much confusing as the tasks assigned to the different roles in the field is not critically aligned and stated.
Due to this, it gets a bit confusing on what to focus on while trying to follow a path in the Data Science world.
Data scientists rely heavily on data. They extract meaning from, visualize, analyze, manage, and store data to give organizations insights for their decision-making processes.
Some of the tasks expected of a data scientist include:
- Acquiring data to jumpstart the discovery process
- Processing and filtering data
- Integrating and storing data
- Investigating data and doing exploratory data analysis
- Using machine learning (ML), artificial intelligence (AI), and statistical modeling to solve organizational issues
- Measuring data and improving results
- Presenting data analyses to executives and stakeholders
- Analyzing trends and patterns and their relationships with acquired data