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What does it take to be a professional computer scientist?

What does it take to be a computer scientist

Thank you comment icon Compute is a broad term.Based on what category and segment /stream of your interest.e.g :Graphics designer will have different set of courses. Coding will have different set of courses to build relevant skills. B Mac

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Ryan’s Answer

Hi Lucy, looks like you already have a bunch of good answers, but I will still chime in. Focus on understanding algorithms, data structures, programming languages, software development, and systems architecture while in school. Beyond formal education, hands-on experience through internships, personal projects, or contributions to open-source software is probably the most crucial part. Continuous learning is essential due to the rapid advancement of technology, so staying updated with new tools, languages, and methodologies is important. Additionally, strong problem-solving skills, logical thinking, and the ability to work collaboratively in teams are key attributes for success in this field.
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Frank’s Answer

Hi Lucy,

I see you have already received a good list of advice from other professionals. I'd like to provide a simplified list of things you can focus on to sharpen your skills and get closer to your goal of becoming a successful computer scientist.

Key Skills:

Mathematics: Focus on discrete math, algebra, and basic calculus.
Computer Systems: Learn how operating systems and hardware work.
Programming: Begin your journey with a versatile language like Python. Not only is Python easy to learn, but it's also widely used and adaptable for various applications. (I Recommend "From Zero to Hero" Python course)
Problem Solving: Practice solving coding challenges and puzzles.

Career Paths:

Software development
Data Scientists
Machine Learning Engineer
Computer Science

Online tools and resources:

YouTube: You'll be able to find a vast array of video tutorials covering a wide range of topics.
Udemy: You can find affordable courses on specific skills or programming languages.
LeetCode: Allows you to practice coding problems to improve your problem-solving skills.
GitHub: Enables you to explore open-source projects and contribute to gain practical experience.

Every career path demands practice, patience, persistence and hard work. If you encounter obstacles along the way, don't be discouraged - setbacks are a natural part of the journey. Remember, we've all faced challenges. However, if you persevere through them, you will undoubtedly reach your ultimate goal of becoming a successful Computer Scientists.

Best of luck on your journey!
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Ryan’s Answer

Hey Lucy!

Being a computer scientist in this day and age is a great choice! It's definitely one of the more "popular" jobs nowadays, and for good reason!

For starters, it's recommended (though not required) to have a Bachelor's Degree in a field like computer science, software engineering, or information systems. However, a great thing about computer science is that there are plenty of resources online that can teach you how to code in different languages such as YouTube videos, coding bootcamps, or online code academies. These languages can include Python, Java, R, C++, SQL, and many more! The more you learn, the more adaptable you'll become which can create more job opportunities for you.

I would also recommend having a GitHub profile, which you can think of as a portfolio for code. It's a way for employers to see your previous work and projects and can be a great way to stand out!

Keep brushing up on your programming skills, always be willing to learn, and you'll go far! Best of luck!
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Savyata’s Answer

Example Path to Becoming a Professional Computer Scientist-

Undergraduate Degree: Obtain a Bachelor’s degree in Computer Science.
Internships: Complete internships to gain practical experience.
Entry-Level Job: Start as a software developer or similar role.
Advanced Education: Pursue a Master’s or Ph.D. if interested in specialized or research roles.
Certifications: Earn certifications relevant to your career goals.
Professional Development: Continuously learn and attend industry events.
Networking: Join professional organizations and attend conferences.
Research: Conduct and publish research if in academia or a research-oriented role.
By following these steps and continuously developing both technical and soft skills, you can establish and advance your career as a professional computer scientist.
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Ram’s Answer

Hi Lucy,

Great question. I would say there are 3 things you need to consider
1) What specific area interests you within the field. A 'computer scientist' is a broad definition and could mean a Data Scientist, a Chip Designer, an advanced systems engineer and/or a researcher in emerging fields. This role is usually involved in designing and building cutting edge systems that have yet to see the light of the day, let alone product-market fit. It can also involve collaboration with other related fields- eg you may be collaborating with a mechanical and/or electrical engineer to design a new robotic arm for a specific industrial / consumer application. So try to learn a bit on these areas and determine directionally what interests you and where you see yourself in a few years.

2) Have a curious mind. Once you have narrowed down your field and/or fields of interest, do some research on what's out there- what papers have been published, which companies are working in this space and hiring and what are their long term plans/ visions in that target space. Who are the specific people from these companies( LinkedIn is a good source) that you want to have another conversation with to learn more. Which colleges/universities offer specific learning paths and degrees to your field of interest. What have some of their alma mater done after graduating. What would it take for you to go after one such degree. What open source solutions are out there, what publicly available data repos are available for your research.

3) Lastly start to dig in- There is no greater learning than by doing. The role of a scientist is to experiment and learn. Have theories and prove them. Determine pros and cons and lessons learned from experiments. So getting hands on and playing with stuff is a must- whether that is working with some open source software, analyzing data, moving to the next level of programming by building a new application, this is where skills matter. The great employers out there give more preference to candidates with real projects. As a professional data scientist that would pretty much be an expectation - that you have done real projects, either in a professional setting as in an internship and/or a side project that you spun up on your own.

This is a career that will have its ups and downs as technology evolves over the years, so be ready to unlearn and re-learn frequently- it is also a fun place if learning and doing is something that interests you. Good Luck to your directions as you consider your next steps as a computer scientist.
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R. Ulises’s Answer

Becoming a computer scientist is a journey that involves a blend of academic pursuit, practical skills, and a knack for problem-solving. Here's a breakdown of what it takes:

1. Education:

Formal Education: A bachelor's degree in Computer Science (CS) or a related field is typically the minimum requirement for entry-level positions. But not necessary. Could be a bootcamp, programming courses, etc..
Strong Foundation: algorithms, data structures, programming languages, computer architecture, and operating systems.
Specialization: In my experience this is could be different depending on the person, skills, thinking, character and preferences. But you can choose a lot of specialization areas AI, ML, Data Science, or Web Development, to name a few.
Continuous Learning: The field of computer science is constantly evolving, so continuous learning is essential. Stay updated on the latest technologies and trends by reading books, attending conferences, taking online courses, and participating in online communities.
2. Skills:

Programming Skills: Proficiency in several programming languages (like Python, Java, C++, JavaScript) is a must. You'll need to be able to write clean, efficient, and well-documented code.
Problem-Solving Skills: Computer science involves breaking down complex problems into smaller, manageable parts and finding creative solutions.
Analytical Thinking: The ability to analyze data, identify patterns, and draw logical conclusions is crucial.
Communication Skills: You need to communicate technical concepts effectively both orally and in writing to colleagues, clients, and stakeholders.
Teamwork Skills: Collaborative work is common in the field, so you'll need to be able to work effectively in teams and contribute to shared projects.
3. Personal Traits:

Passion for Technology: A genuine interest in technology and a desire to learn and explore new technologies is essential.
Curiosity: Computer scientists are constantly questioning, exploring, and seeking innovative solutions.
Persistence: Solving complex problems often requires perseverance, determination, and the ability to overcome challenges.
Creativity: The field demands innovative thinking and the ability to come up with creative solutions to problems.
4. Practical Experience:

Internships: Gaining practical experience through internships while pursuing your degree is highly valuable.
Personal Projects: Working on personal projects outside of coursework allows you to explore your interests, build your portfolio, and apply your knowledge in real-world scenarios.
Open Source Contributions: Contributing to open-source projects demonstrates your skills and allows you to learn from experienced developers.
5. Networking:

Attend Conferences and Meetups: Networking with industry professionals, researchers, and fellow students is a great way to stay updated, learn about opportunities, and expand your professional connections.
Join Online Communities: Participate in online forums and communities related to your area of interest.
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Kaustubh’s Answer

Hi Lucy,
Focus on problem solving and get proficient in at least one programming language, like Javascript or python. Switching to programming languages based on the role you get is really not that difficult if you understand the underlying principles of programming.
I am sure any experienced programmer would have worked in multiple programming languages in his/her career. End of the day if you are passionate for software, you will change and adapt according to what is thrown at you.
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Vinayak’s Answer

Hello,

Developing logical thinking is a key ingredient for success in the field of computer science, and this often translates into honing your Maths skills, particularly your mathematical aptitude. Remember, this is an ongoing journey, not a one-time event.

In addition to this, pursuing advanced degrees like a Bachelor's, Master's, or even a PhD can significantly broaden your career prospects. We're living in a world that's fueled by data and information, so diving into areas like data science, machine learning, and artificial intelligence could provide you with practical, hands-on experiences to further enhance your skills. Keep learning!
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Debasis’s Answer

Dear Lucy,

Embarking on the journey to become a proficient computer scientist requires a blend of formal education, technical acumen, and interpersonal skills.

- Education: Pursuing a graduate or postgraduate degree will provide you with the necessary knowledge and exposure to the field. Additionally, any hands-on experience gained through internships can significantly contribute to your future career.

- Technical Proficiency: This is a broad area, but to summarize, it's crucial to master programming languages, understand algorithms, data structures, and data analytics, and have a good grasp of both software and hardware aspects.

- Soft Skills: Your ability to solve problems, think analytically, and demonstrate cognitive and innovative thinking will significantly aid your career progression.

Moreover, enrich your resume by accumulating relevant work experiences and obtaining industry-specific certifications.

Wishing you the best in your journey.
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sowmya’s Answer

1) To excel as a computer scientist, it's crucial to attain advanced education.
2) Here are some essential coding skills:
- Proficiency in Python and R
- Mastery of programming
- Expertise in data analysis
- Understanding of machine learning algorithms
- Knowledge of artificial intelligence
- Skills in software development
- Familiarity with cloud computing
- Ability in network management
- Mathematical aptitude
- Troubleshooting prowess
- Proficiency in Linux
- Knowledge of Java
- Expertise in C++
3) Excellent communication, logical reasoning, and interpersonal skills are fundamental.
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HIMABINDU’s Answer

Hi Lucy, Becoming a professional computer scientist is like leveling up in a video game full stop. Full of challenges, rewards, lots of cool gear. Here's what it takes to be a top notch computer scientist:
- Curiosity: always ask why and how. Be the detector who loves to solve puzzles and figure out how things work behind the scenes.
- Education: get a solid foundation a degree in computer science or a related field is like your magic wand. There are also tons of online courses, boot camps and tutorials if you prefer a more flexible path
- Coding skills: learn to speak the languages of the computer world- Python, Java, C++ and more. Coding is your superpower so practice, practice, practice
- Problem solving: think of yourself as a wizard solving magical problems with logic and creativity. Practice algorithms and data structures to sharpen your problem solving skills
- Teamwork: being a lone wolf can be cool but collaborating with others often leads to better solutions and more fun. Learn to work well in a team and communicate your ideas clearly
- Adaptability: technology is always changing. Stay curious and learn new tools, languages, concepts. Embrace change and make it your ally
- Community: join calling communities, attend hackathons and participate in forums. Networking can lead to amazing opportunities and help you grow faster
- Persistence there will be bugs and errors think of them as Dragons to slay. Stay determined and don't give up when things get tough passion: love what you do find the fun and coding and joy in creating something from nothing
with these skills and traits you'll be well on your way to become a professional computer scientist happy coding!
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DEVANG’s Answer

Hello Lucy, excellent query! Once you've completed your schooling, it would be a great idea to pursue a bachelor's degree in computer science. If you can, aim for a master's degree in a computer science area that sparks your interest. With a master's degree under your belt, you can even consider a Ph.D. program in computer science. This could open doors to research companies or the education sector, where you can thrive as a computer scientist. Keep going, the sky's the limit!
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Craig’s Answer

To thrive as a computer scientist, kick off your journey with a bachelor's degree in computer science or a similar field. This will equip you with a robust understanding of algorithms, data structures, programming languages, and computer systems. Boost your practical knowledge through internships, co-op programs, and personal projects. These experiences are vital for applying your skills in real-world scenarios and honing your abilities. Get comfortable with cutting-edge tools and technologies like ChatGPT and GitHub Copilot to boost your productivity and grasp AI's potential. Take advantage of online courses and tutorials from platforms like Coursera and edX to keep your knowledge of AI, machine learning, and deep learning fresh.

Carve out a niche for yourself in a specific area like cybersecurity, data science, software engineering, or human-computer interaction to make your mark in the field. Never stop learning; devour research papers, attend conferences, and participate in webinars to stay on the cutting edge. If you're drawn to AI or other advanced areas, think about pursuing a master’s degree or PhD. These advanced degrees can be your ticket to research opportunities and coveted roles. Dive into research projects, publish papers, and contribute to the academic community to deepen your expertise.

Hone essential soft skills such as communication, collaboration, and problem-solving. These skills are priceless for breaking down complex ideas, collaborating effectively in teams, and tackling challenges with creativity. Build a strong professional network by attending industry conferences, joining groups like ACM or IEEE, and engaging in online forums. Find mentors who can provide guidance and support, and keep a robust portfolio that showcases your projects and accomplishments.

Stay ahead of the curve by keeping tabs on emerging tech trends like quantum computing, blockchain, and augmented reality. Being adaptable and quick to learn new skills and tools is vital to staying competitive in the job market. Embrace lifelong learning and ongoing skill development as the keys to lasting success in the fast-paced world of computer science.
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Sean’s Answer

In order to be a professional computer scientist, it involves a combination of formal education, practical experience, and continuous learning. Here are some suggestions for you.

1. Take courses. Take as much CS courses as you can to improve your programming skills and understanding of computer logics.

2. Get hands-on experience. Work on real-world projects or internships. Participate in coding competitions, hackathons, and open source projects to apply your skills.

3. Build a portfolio. Create a portfolio of your projects and code samples. This can be a personal websites or a GitHub repository where you showcase your work.

4. Lear software tools. Familiarize yourself with essential software tools and platforms used in the industries. This includes version control systems like Git, IDEs, and cloud platforms like AWS.

5. Improve problem-solving skills. Practice problem-solving on platforms like LeetCode. Getting yourself prepared for technical interviews.

6. Certifications. Consider obtaining certifications in specific tech or skills, such as Certified Ethical Hacker or Cisco Certified Design Expert (CCDE) Certification.

7. Soft Skills. Don't neglect soft skills like communications, teamwork. These skills are equally important.

Hope these suggestions could help. Good luck!
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Carla’s Answer

Hi Lucy! To begin a career in computer science, you might want to start off by taking a few introductory courses. There are several sites that offer courses and there is so much information out there. Microsoft has a student hub that might help you see what is out there. https://learn.microsoft.com/en-us/training/
As noted in the other answers, too you might want to consider studying computer science, computer engineering or other technology related major in college. In the working world, it is so easy to get involved with technology and innovation because it is everywhere; there is also so much out there to dive into! Another helpful hint might be to find someone who is in the field of computer science who can become a mentor to you; someone who can tell you what it's like to be in that field. I wish you lots of good luck with your exploration!
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Rebecca’s Answer

Thank you for your question. I am glad to hear that you have interest in computer science. In fact, there are many careers in Computer Science, e.g. Web Developer, Apps Developer, ERP Developer, System Administrator, Application Support, ,etc.
Below are my suggestions :
1. Explore the entry criteria of Computer Science in colleges and work hard on your academic to meet the criteria
2. Attend information session hosts by Computer Science department. Speak to Professors and Alumni if possible.
3. You can find out more on computer science careers after your start the course in the college and determine what you have interest
4. Speak to someone who are working in these careers
5. Seek guidance from your mentor, school career counsellor, your parents, etc.
Hope this helps! Good Luck!
May Almighty God bless you!
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Kameswari Naga Shruthi’s Answer

Embarking on the adventure to become a professional computer scientist is a thrilling voyage, and here are some friendly tips to kickstart your journey:

1. Stay Inquisitive: Keep your curiosity alive and always question how things function. Computer scientists are natural explorers, always on the hunt for new discoveries.
2. Education: Dive into the world of math and science and gradually learn to craft computer programs. This can be an exciting adventure, particularly when you create something awe-inspiring!
3. Regular Practice: Just like mastering a sport or a musical instrument, regular practice of coding and problem-solving is crucial.
4. Unleash Creativity: Dream up new and inventive ways to tackle problems. Often, the most effective solutions are born from creative thinking.
5. Collaborate: Teaming up with others accelerates your learning and enables you to tackle larger problems. The best ideas frequently emerge from teamwork.
6. Stay Resilient: Don’t lose heart when faced with challenges. Every stumble is an opportunity to learn something new.

By adhering to these steps and maintaining your curiosity and determination, you're well on your way to becoming a professional computer scientist. Keep expanding your knowledge and cherish the journey!


Here are some online courses tailored for aspiring computer scientists:

1. Introduction to Computer Science
• CS50’s Introduction to Computer Science (Harvard University via edX)
2. Programming Fundamentals
• Python for Everybody (University of Michigan via Coursera)
• Java Programming and Software Engineering Fundamentals (Duke University via Coursera)
3. Data Structures and Algorithms
• Algorithms Specialization (Stanford University via Coursera)
• Data Structures and Algorithm Specialization (University of California San Diego via Coursera)
4. Mathematics for Computer Science
• Mathematics for Computer Science (MIT OpenCourseWare)
5. Web Development
• The Web Developer Bootcamp (Udemy)
• HTML, CSS, and Javascript for Web Developers (Johns Hopkins University via Coursera)
6. Database Management
• Databases and SQL for Data Science (IBM via Coursera)
• Introduction to Databases (Stanford University via edX)
7. Software Engineering
• Software Development Lifecycle Specialization (University of Minnesota via Coursera)
• Software Engineering: Introduction (University of British Columbia via edX)
8. Operating Systems
• Operating Systems and You: Becoming a Power User (Google via Coursera)
• Operating Systems (Stanford University via edX)
9. Computer Networks
• Computer Networking (Stanford University via Coursera)
• Introduction to Computer Networking (Stanford University via OpenClassroom)
10. Artificial Intelligence and Machine Learning
• AI For Everyone (deeplearning.ai via Coursera)
• Machine Learning (Stanford University via Coursera)