4 answers
4 answers
James Constantine Frangos
Consultant Dietitian & Software Developer since 1972 => Nutrition Education => Health & Longevity => Self-Actualization.
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James Constantine’s Answer
Dear Amy,
Choosing Data Science as a Major:
Data science is a dynamic field that merges mathematics, statistics, computer science, and specific domain knowledge to draw valuable insights from both structured and unstructured data. By choosing to major in data science, you'll be setting yourself up for a career where you'll analyze and interpret intricate data to facilitate informed decision-making. The course structure generally includes subjects like statistics, machine learning, data mining, databases, programming (Python or R), and data visualization. Additionally, you'll get hands-on experience working with real-world datasets and familiarize yourself with industry-standard tools like Tableau, Power BI, and SQL.
Expected Starting Salary:
As per the Bureau of Labor Statistics (BLS), the median yearly salary for statisticians stood at $88,190 in May 2020. However, this figure encompasses statisticians across various industries, not just those with a background in data science. As of October 2022, Glassdoor indicates an average base salary of $75,000 annually for entry-level data scientists. It's important to note that salaries can fluctuate significantly based on the industry, geographical location, and your level of experience. For example, tech companies often provide higher salaries than other sectors due to the substantial demand for data scientists in this field.
Sources: Bureau of Labor Statistics (BLS) - Occupational Outlook Handbook: Statisticians; Glassdoor - Data Scientist Salary
May God bless you!
JC.
Choosing Data Science as a Major:
Data science is a dynamic field that merges mathematics, statistics, computer science, and specific domain knowledge to draw valuable insights from both structured and unstructured data. By choosing to major in data science, you'll be setting yourself up for a career where you'll analyze and interpret intricate data to facilitate informed decision-making. The course structure generally includes subjects like statistics, machine learning, data mining, databases, programming (Python or R), and data visualization. Additionally, you'll get hands-on experience working with real-world datasets and familiarize yourself with industry-standard tools like Tableau, Power BI, and SQL.
Expected Starting Salary:
As per the Bureau of Labor Statistics (BLS), the median yearly salary for statisticians stood at $88,190 in May 2020. However, this figure encompasses statisticians across various industries, not just those with a background in data science. As of October 2022, Glassdoor indicates an average base salary of $75,000 annually for entry-level data scientists. It's important to note that salaries can fluctuate significantly based on the industry, geographical location, and your level of experience. For example, tech companies often provide higher salaries than other sectors due to the substantial demand for data scientists in this field.
Sources: Bureau of Labor Statistics (BLS) - Occupational Outlook Handbook: Statisticians; Glassdoor - Data Scientist Salary
May God bless you!
JC.
Updated
Hicham’s Answer
Computer, mathematics, statistics Somme data scientist are physicist or biologist, or have a degree in humanities. It depends on the field you wish to work in.
For the salary, it is well paid in Europe, because or lack of candidate. But again it depends on the field : in finance you will have a higher salary than in social science. I
For the salary, it is well paid in Europe, because or lack of candidate. But again it depends on the field : in finance you will have a higher salary than in social science. I
Updated
Ravi’s Answer
Data science and analytics is one of the most high-demand jobs today and great career choice for future graduates. Data speak and says everything. per recent research approx. 2.5 quintillion bytes of data are created daily, and the growth rate is only increasing. This field of study is likely to stay despite the automation advancement as scientists continue to develop better technology and perform judgments that no automation in the world can do better. In short, people who are passionate about data, it's good career lineup with pay and having tremendous future growth professionally.