Top 10 Most Viewed Data Science Answers on Quora

Top 10 Most Viewed Data Science Answers on Quora
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The search for most-viewed data science questions with answers on Quora stops here

Data science is ruling the world with the emergence of Artificial Intelligence and the real-time data-driven world. There has been an increase in searching questions and answers by the data scientists as well as the data science aspirants to kick-start their career. Analytics Insight presents to you a glimpse of the top 10 most viewed data science answers on Quora.

Question 1: What are the major differences between Python and R for data science?

Answer: Yes, it is one of the most popular data science questions on Quora because the aspirants or the interns in the field of data science are required to know the differences between Python and R to deal with any data science task. Both Python and R have vast software ecosystems with open source programming languages. The ideal solution for readers is to gain basic knowledge on both software for future use. Hence, to know the major differences between Python and R for data science, click here.

Question 2: How can I become a data scientist?

Answer: Data science aspirants are always a bit overwhelmed as well as intimidated by the huge opportunities available in the field of data science. On Quora, this question is one of the most popular questions from beginners who have just graduated from college and have an aim to become a data scientist in the future. To know more details about what the suggestion is click here.

Question 3: I need to learn data science from scratch, where do I start?

Data science is the hottest trend in recent years due to the introduction of Artificial Intelligence in the operating system. Several data science aspirants are learning the technical issues from various educational institutions whereas some desire to learn from scratch without any professional institutions. Thus, click here to know from where you will start the process of learning data science on your own.

Question 4: How does Airbnb hire data scientists?

Answer: Airbnb is trending right now with OYO rooms as the transportation system has experienced a massive improvement in these recent years. There is a huge increase in the number of travellers, whether it is for professional or personal life, with a demand for standard quality room within their budget for a few days. Data scientists also want to work for this trendy popular firm to study the market pattern. Click here to know the interview process of Airbnb to hire data scientists.

Question 5: How much Machine Learning is needed for becoming a data scientist?

Answer: Machine Learning is an integral part of Artificial Intelligence algorithm which provides immense help in analysing real-time data. ML has the capability to read and study data before applying mathematical calculations to generate business insights. There is a need for data scientists to learn ML to ease their process in the workflow. To know more about the importance of gaining knowledge on ML, click here.

Question 6: Why is Python more popular than R as a tool for data analysis whereas very few ask for R in data science jobs?

Answer: Data scientist and data analyst are a bit different from each other whereas some people still do not know the difference. There are different approaches with the software programs in both the jobs. In case of data scientist job profile, Python works better for the efficiency of the workflow and in case of data analyst job profile, R works better where Python is unnecessary. If you click here, you will get to know why there is confusion regarding two jobs with Python and R.

Question 7: What is a data scientist interview at Google look like?

Answer: Google, the most popular American multinational tech giant in Silicon Valley, deals with innumerable sets of large-scale real-time data every second on a daily basis. It is one of the lucrative firms to work as data scientist with amazing employee work environment. It is, indeed, one of the most popular questions on Quora for recruitment process in data scientist profile. Experienced data scientists also feel intimidated before applying to Google. So without being further late, click here to know about the data scientist interview process at Google.

Question 8: How do I prepare for a data science interview?

Answer: Cracking interviews are hard irrespective of any job profile. This makes all candidates get tense regarding how to prepare for a job interview. This question is popular because it happens with every other candidate who wants to sit for data science interview. They want to perform at their level best to receive the offer letter so they do some research on how to prepare for data science interview. To know the procedure of getting yourself prepared for the interview, click here

Question 9: Which is the best data science and AI certification for working professionals?

Answer: There is an increase in competition among the candidates for data science job profiles in recent years. This has been an observation that the more experience and knowledge a candidate possesses the more probability of getting recruited by hi-tech companies. Thus, there has been a tremendous demand for certificate courses to enhance the skills on a particular field. Various courses are being offered by hi-tech companies to candidates based on their experience and knowledge related to the field. Click here to clear your doubts regarding which certification course is best for data science and AI.

Question 10: What are the best books on data science?

Answer: Avid readers always are in search for books on their interest whenever there is free time in this busy world. There are bookworms who have earned a huge interest in the field of data science and eager to know more on it. They prefer clear the concept from popular books written by well-known authors for better understanding. Varieties of books are available in the market as well as digital libraries for readers to get access to whatever they want. Click here to get access to some of the best books on data science but whatever is best for you may not be best for someone else. Thus, search for more books with easy style of writing for you to understand in the beginning.

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