After watching the video about computer science careers, choose one to research further and answer the following questions (Where applicable, make sure to use a legitimate source and include a link to the site where you found the information):
1. What career did you choose?
2. Why did you choose this career?
3. What is the average salary of someone in this career? (Try to find the most recent data.)
4. In one sentence, what does someone in this position do?
5. What skills/traits are required from someone in this position?
6. What level of education is typically needed to have this career?
7. Is this a career you could see yourself in? Why or why not?
8. What new technology, if any, is being created/used in this career?
9> What skills do people need to work in this career?
1. I chose the career of a Data Scientist.
2. I chose this career because I have always been interested in data analysis and finding patterns in large datasets, and I believe that data science offers exciting opportunities to do so.
3. According to the US Bureau of Labor Statistics, the median annual wage for data scientists and mathematical science occupations was $94,280 as of May 2020. (Source: https://www.bls.gov/ooh/math/mathematicians-and-statisticians.htm)
4. A data scientist analyzes complex datasets, identifies trends and patterns, and uses statistical methods to extract insights and make data-driven decisions.
5. Skills and traits required for a data scientist include strong analytical and problem-solving skills, proficiency in programming languages such as Python or R, statistical knowledge, communication skills, and the ability to work with large datasets.
6. The typical educational requirement for a data scientist is a master's degree in a relevant field such as computer science, statistics, or mathematics. However, some positions may require a Ph.D.
7. Yes, I could see myself in this career because I enjoy working with data and finding insights from it. The field of data science continues to grow, providing numerous opportunities for innovation and impact.
8. Data science is a field that is constantly evolving, and new technologies are continuously being developed and utilized. Some examples of emerging technologies in this field include machine learning, artificial intelligence, and big data analytics.
9. To work in this career, people need strong programming skills, knowledge of statistics and data analysis techniques, proficiency in data visualization tools, and the ability to think critically and solve complex problems. Strong communication skills are also important to effectively communicate findings and insights to non-technical stakeholders.