Quora is a popular website used by millions to enquire about questions all across the globe. The website offers a unique platform for people to ask anything they want to know, which can be answered by random people who have the required prowess. Data science is a hot topic, and people have numerous questions and doubts regarding data science. So, in this article, we will be discussing the top 10 most viewed Data Science answers on Quora.
Table of Contents
- Top 10 Most Viewed Data science Answer:
- 1. What is Data Science?:
- 2. Is data science hard?:
- 3. What are the common Data Science interview questions?:
- 4. Who are the top Data Scientists?:
- 5. What is the best Data Science book?:
- 6. What are the best Data Science courses?:
- 7. How to judge a good data scientist?:
- 8. Do I need to be good at programming to succeed as a Data Scientist?:
- 9. What are the career opportunities in Data Science?:
- 10. What skills should be listed down on Resume for Data Science jobs?:
- Conclusion:
Top 10 Most Viewed Data science Answer:
1. What is Data Science?:
Not all people come from a technical background, and this is not possible for all to know the exact meaning of Data Science. However, people need to understand what it means by Data Science, and this need makes this question top of the list. Data science is a newly emerging field of Computer Science. This field is working with a considerable amount of data. The main motto of the area is to properly analyze and process the data and get the insights from the structured or unstructured database for broad application.
2. Is data science hard?:
Data Science is in high demand and offers a good number of job posts. So it is beneficial for students to start learning data science. Generally, beginners who want to start learning data science want to know about the difficulty of this subject. A student already familiar with mathematics, statistics, and coding will not face many problems in this field. But those who do not have any proper knowledge can find this subject a little more complicated. So it is better to learn the fundamentals of mathematics, statistics, and coding before starting a data science journey.
3. What are the common Data Science interview questions?:
As data science widens the path of jobs, people also search the vital interview question for better preparation. For example, some critical data science interview questions are the difference between supervised and unsupervised learning, how logistic regression is done, steps of the decision tree making process, building a random forest model, and avoiding overfitting any model, etc.
4. Who are the top Data Scientists?:
Aspiring data scientists need some role models for inspiration, which leads us to this question. Randy Lao, a data science mentor at an E-learning portal named Data Science Dream Job, is currently the topmost data scientist. Andriy Burkov, the director of the data science and machine learning team at Gartner, is also the top data scientist. Finally, Alex Sandy Pentland, co-leader of the World Economic Forum Big Data, is also a well-known data scientist.
5. What is the best Data Science book?:
Books are always a great way of learning. The best book on Data Science is R for Data Science by Hadley Wickham, one of the top books. Data science for beginners, python Data Science handbook, Practical Statistics for Data Scientists is some leading books for learning data science.
6. What are the best Data Science courses?:
In this remote learning age, there are lots of courses for data science available. Some of the best data science certification online courses are Python for Data Science and Machine Learning Bootcamp offered by Udemy, CS109 Data science provided by Harvard University, Dataquest, or courses on Coursera and EDX are also an excellent place to learn and become a certified data scientist.
7. How to judge a good data scientist?:
A good data scientist will know how to work with a vast data set. So any conceptual question on data handling can show the actual knowledge of the data scientist. Questions about the most critical data set processed and missing data handling can also be an excellent question to judge a good data scientist.
8. Do I need to be good at programming to succeed as a Data Scientist?:
Many people have this confusion about the need for coding in data science. But data science needs the skill of coding. R and Python are two programming languages required to work in the data science field.
9. What are the career opportunities in Data Science?:
A data scientist can have various job roles after a data science course. Data mining engineers, data architecture, and senior data scientists are examples of the different job roles offered by data science. According to research, more than 6500 job posts were there in data science in the year 2020. Furthermore, the number is likely to increase day by day. So it is safe to state that data science offers a good career opportunity.
10. What skills should be listed down on Resume for Data Science jobs?:
A resume is an essential part of getting a job. To get a data science-related job, it is necessary to include the proper skills related to data science in a resume. The skills of Python and R programming are essential to mention. Apart from that, the skill of data visualization, database management, knowledge of probability and statistics, knowledge of cloud computing and machine learning, and knowledge of mathematics should be mentioned in the resume for a data science job.
Conclusion:
These answers can help you get an overall concept about data science and clear some of their common doubts. If the answers intrigue you in becoming a data science expert, you can learn from the fantastic courses offered by Global Tech Council.
