6 answers
Syeda
Student
Narowal, Punjab, Pakistan
1
Question
Updated
842 views
What is my duty?
I am Student of BSCS from University of Narowal, Pakistan
I want to be a data scientist
#AI
#MachineLearning
6 answers
Lilian Ta
Finance
7
Answers
Sydney, New South Wales, Australia
Updated
Lilian’s Answer
Hi Syeda, I am going to take a guess that you are seeking to understand what the responsibilities or duties are of a typical data scientist? It is broad but generally your responsibility would be to work with the company leaders or someone within the business and understand what question they are seeking to answer with data. Then work with a data engineer to ensure that data exists and then cleanse the data and apply your statistical and programming knowledge to find an algorithm or model that can help make a prediction, classify, etc. depending on what the original question or problem was. You will often be asked to visualise the data or explain your findings to people who don't necessarily understand data science terminology so you need to act as a translator as well.
Thank you Lilian
Syeda
Al Fernando Williams
Sales Leader
6
Answers
Dublin, County Dublin
Updated
Al Fernando’s Answer
Hi Lilian, I'll take a more general approach to your question. You're on track following your desire to be a data scientist.
Your duty in this scenario is to seek information sources and people around you that can help you improve in this over time. It's your duty to seek knowledge as you're doing on this platform and translate that into action. I'm sure you'll be great :)
Your duty in this scenario is to seek information sources and people around you that can help you improve in this over time. It's your duty to seek knowledge as you're doing on this platform and translate that into action. I'm sure you'll be great :)
Tianxin Shao
Technical Program Management
2
Answers
Shanghai, China
Updated
Tianxin’s Answer
Hi Syeda, I am going to guess you are in dilemma whether seeking DS (Data Scientist) or other job like SE (Software Engineer).
As far as I know, DS is a glorious career, high salary and many company have this job position, they need him to research ML/AI solution to help data analysis, target classify or prediction, this will be helpful for drafting decision and strategy. But the number of DS requirement is so small, far less than SE.
If you are good at Statistics, and have some coding and presentation skill sets, DS is a best option; But if you are not good at statistics, or afraid of presentation, CS may be better.
As far as I know, DS is a glorious career, high salary and many company have this job position, they need him to research ML/AI solution to help data analysis, target classify or prediction, this will be helpful for drafting decision and strategy. But the number of DS requirement is so small, far less than SE.
If you are good at Statistics, and have some coding and presentation skill sets, DS is a best option; But if you are not good at statistics, or afraid of presentation, CS may be better.
doddegowda D
5
Answers
Updated
doddegowda’s Answer
Hi Syeda
Data scientists are a new breed of analytical data expert who have the technical skills to solve complex problems – and the curiosity to explore what problems need to be solved. They're part mathematician, part computer scientist and part trend-spotter.
Once you compete your current course you can opt for DS course. Here are the few links which you can follow:
https://www.mastersindatascience.org/careers/data-scientist/
https://datasciencedegree.wisconsin.edu/data-science/what-do-data-scientists-do/
Best Wishes
Data scientists are a new breed of analytical data expert who have the technical skills to solve complex problems – and the curiosity to explore what problems need to be solved. They're part mathematician, part computer scientist and part trend-spotter.
Once you compete your current course you can opt for DS course. Here are the few links which you can follow:
https://www.mastersindatascience.org/careers/data-scientist/
https://datasciencedegree.wisconsin.edu/data-science/what-do-data-scientists-do/
Best Wishes
niyaz ahamed
Training
6
Answers
Bengaluru, Karnataka, India
Updated
niyaz’s Answer
The best way after completing BSCS graduation getting Data science training is really good for the IT career. As a Data Scientist we can get lot of opportunities in all the fields. Nowadays Data science technology has implemented in IT, Marketing, Retailing, Sales, Distribution, Manufacturing and many. Then this Data science technology has get into the Transport, Healthcare and eCommerce. So, Wherever, we can able to do the analytics of data to improve our business strategy. This strategy makes the insights of Business.
So Data Scientist is the good option to do after completion of Graduation. Basic programming like Python or R Programming is required to establish the Data Science algorithms.
To learn Data Science you can reach https://www.tibacademy.in/data-science-training-in-bangalore.
So Data Scientist is the good option to do after completion of Graduation. Basic programming like Python or R Programming is required to establish the Data Science algorithms.
To learn Data Science you can reach https://www.tibacademy.in/data-science-training-in-bangalore.
James Constantine Frangos
Consultant Dietitian & Software Developer since 1972 => Nutrition Education => Health & Longevity => Self-Actualization.
6075
Answers
Gold Coast, Queensland, Australia
Updated
James Constantine’s Answer
Dear Syeda,
As you embark on your journey towards achieving a Bachelor of Science in Computer Science (BSCS) degree at the University of Narowal, Pakistan, and aspire to become a data scientist, here are some actionable steps you can take:
1. Strive for Academic Excellence: Ensure you maintain an outstanding academic record. Regularly attend classes, submit assignments promptly, and actively engage in class discussions. This will solidify your understanding of computer science principles and the mathematics vital for data science.
2. Enhance Your Technical Skills: Master programming languages like Python, R, or Java, which are integral to data science. Get comfortable with data science tools such as NumPy, Pandas, Scikit-learn, TensorFlow, and Keras. Additionally, acquire statistical concepts and techniques to effectively analyze and interpret data.
3. Engage in Practical Projects: Apply your theoretical knowledge to solve real-world problems through project work. Join competitions or hackathons centered around data science challenges to gain hands-on experience and build a portfolio that showcases your abilities.
4. Network with Professionals: Establish connections with professionals in the data science field. Attend networking events, use social media platforms like LinkedIn, or join professional organizations like the Institute for Operations Research and the Management Sciences (INFORMS) or the International Machine Learning Society (IMLS). These connections could lead to job or mentorship opportunities that can shape your career.
5. Stay Informed: Keep abreast of the latest trends and advancements in data science. Regularly read industry publications like KDnuggets or Data Science Central, and follow influential figures in the field on social media platforms like Twitter or Medium. This will keep you updated on new techniques and technologies, giving you an advantage when job hunting.
6. Uphold Ethical Standards: Be aware of the ethical considerations related to data privacy, security, and bias when working with large datasets. Follow ethical guidelines set by professional organizations like INFORMS or IMLS to ensure your work is unbiased, respects individual privacy rights, and contributes positively to society.
7. Commit to Continuous Learning: Data science is a rapidly evolving field. Constantly expand your knowledge by learning new tools, algorithms, or programming languages relevant to data science to stay competitive throughout your career.
For authoritative references, you can visit:
Institute for Operations Research and the Management Sciences (INFORMS) - https://www.
International Machine Learning Society (IMLS) - https://www.
KDnuggets - https://www.
May God bless you on your journey!
Best regards,
JC.
As you embark on your journey towards achieving a Bachelor of Science in Computer Science (BSCS) degree at the University of Narowal, Pakistan, and aspire to become a data scientist, here are some actionable steps you can take:
1. Strive for Academic Excellence: Ensure you maintain an outstanding academic record. Regularly attend classes, submit assignments promptly, and actively engage in class discussions. This will solidify your understanding of computer science principles and the mathematics vital for data science.
2. Enhance Your Technical Skills: Master programming languages like Python, R, or Java, which are integral to data science. Get comfortable with data science tools such as NumPy, Pandas, Scikit-learn, TensorFlow, and Keras. Additionally, acquire statistical concepts and techniques to effectively analyze and interpret data.
3. Engage in Practical Projects: Apply your theoretical knowledge to solve real-world problems through project work. Join competitions or hackathons centered around data science challenges to gain hands-on experience and build a portfolio that showcases your abilities.
4. Network with Professionals: Establish connections with professionals in the data science field. Attend networking events, use social media platforms like LinkedIn, or join professional organizations like the Institute for Operations Research and the Management Sciences (INFORMS) or the International Machine Learning Society (IMLS). These connections could lead to job or mentorship opportunities that can shape your career.
5. Stay Informed: Keep abreast of the latest trends and advancements in data science. Regularly read industry publications like KDnuggets or Data Science Central, and follow influential figures in the field on social media platforms like Twitter or Medium. This will keep you updated on new techniques and technologies, giving you an advantage when job hunting.
6. Uphold Ethical Standards: Be aware of the ethical considerations related to data privacy, security, and bias when working with large datasets. Follow ethical guidelines set by professional organizations like INFORMS or IMLS to ensure your work is unbiased, respects individual privacy rights, and contributes positively to society.
7. Commit to Continuous Learning: Data science is a rapidly evolving field. Constantly expand your knowledge by learning new tools, algorithms, or programming languages relevant to data science to stay competitive throughout your career.
For authoritative references, you can visit:
Institute for Operations Research and the Management Sciences (INFORMS) - https://www.
International Machine Learning Society (IMLS) - https://www.
KDnuggets - https://www.
May God bless you on your journey!
Best regards,
JC.
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