Data scientists require the following skills.

Key Points

• Data visualization: It helps in understanding and presenting data insights through graphical formats such as charts, graphs, and dashboards.
• Machine learning: A core skill for data scientists, it enables them to create predictive models and analyze patterns in data.
• Statistics: Essential for analyzing data, determining relationships, and making data-driven decisions.
• All of these skills are integral to the role of a data scientist, as they work together to extract meaningful insights from data.

Additional Information

• Option 1 (Data visualization only): While data visualization is an important skill for communicating data insights effectively, it alone is not sufficient to cover all the responsibilities of a data scientist. It is one part of the larger data science process.
• Option 2 (Machine learning only): Machine learning enables the creation of predictive models and automation of decision-making processes. However, it requires a foundation in other areas like statistics and domain knowledge to be effective.
• Option 3 (Statistics only): Statistics is fundamental for analyzing data, identifying trends, and making predictions. However, it does not encompass other necessary skills like data visualization and machine learning.
• Option 4 (All the above): This is the correct option because a data scientist must possess a combination of all these skills—data visualization, machine learning, and statistics—to perform their role effectively.