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This video explain the differences between Data Science & Computer Science.

i. Data science is a field that involves collecting, analyzing, and interpreting data to solve real-world problems or generate insights. Data science is a popular and rewarding career choice, but it also has its pros and cons. Here are some of them:

Pros:

- Data science is in high demand. Data science is one of the fastest-growing and most sought-after jobs in the world. According to the U.S. Bureau of Labor Statistics, the employment of data scientists is projected to grow 15% from 2019 to 2029, much faster than the average for all occupations¹.
- Data science is well paid. Data science is one of the highest-paying jobs in the world. According to Glassdoor, the average salary of a data scientist in the U.S. is $113,309 per year². Data scientists can also earn bonuses, stock options, and other benefits depending on their skills, experience, and employer.
- Data science is versatile. Data science can be applied to various domains and industries, such as health care, finance, education, entertainment, and more. Data scientists can work on diverse and interesting projects that have a positive impact on society. Data scientists can also choose from different roles and specializations, such as data analyst, data engineer, machine learning engineer, or business intelligence analyst.
- Data science is challenging and rewarding. Data science is a field that requires creativity, curiosity, and problem-solving skills. Data scientists can use their knowledge and tools to discover new patterns, trends, and insights from data. Data scientists can also learn new skills and technologies as the field evolves and grows.

Cons:

- Data science is competitive. Data science is a field that attracts many talented and ambitious people who want to pursue a career in it. Data science is also a field that requires a high level of education and expertise. Data scientists need to have a strong background in mathematics, statistics, computer science, and domain knowledge. Data scientists also need to keep up with the latest developments and trends in the field.
- Data science is complex. Data science is a field that involves working with large, messy, and unstructured data sets that come from various sources and formats. Data scientists need to deal with issues such as data quality, data security, data privacy, and data ethics. Data scientists also need to use complex tools and techniques such as programming languages, frameworks, libraries, algorithms, and models.
- Data science is stressful. Data science is a field that involves working under pressure and meeting deadlines. Data scientists need to deliver accurate and reliable results that meet the expectations and needs of their clients or stakeholders. Data scientists also need to communicate their findings and recommendations effectively to different audiences.

ii. Here are some potential pros and cons to consider when pursuing a degree or career in Computer Science:

Pros:
- In demand field with many job opportunities. CS skills are valued in a wide range of industries.
- Potential for high salaries, especially in technical and engineering roles.
- Ability to work remotely or flexibly, depending on the role.
- Constantly evolving field with new technologies to learn and explore.
- Opportunities to solve challenging problems through programming.
- Logical and analytical skills developed are transferable.
- Can build useful products and applications that impact people's lives.
- Work may involve creativity alongside technical competency.
- Provides foundational knowledge for specializations like machine learning.

Cons:
- Can be mentally demanding to persistently solve technical problems.
- Requires constant learning to keep skills and knowledge updated.
- Often involves long hours of coding and debugging.
- May require math/science aptitude to grasp certain concepts.
- Can feel isolated or solitary while deep in work.
- Dealing with “imposter syndrome” is common.
- Technical roles can lack human interaction and impact.
- Outsourcing and immigration affect job prospects in the field.
- Can be difficult to maintain work-life balance.

As with any field, there are both advantages and challenges in pursuing computer science. Focusing on your strengths and interests while being realistic is key.