In this Data Science interview prep live session, Chirasmita Mallick, Senior Data Scientist at G2 & Mentor at Springboard, discusses the top 13 most asked Data Science interview questions and the best ways to answer them. Cracking a data science interview is the first step in cracking rewarding and lucrative data scientist jobs and this session prepares you for it. This session is suitable for technology professionals who are just starting with data science tutorials and also for those who are preparing for data science jobs. You will also find expert tips on building a data scientist resume in this live session.
How to Become a Data Scientist? http://bit.ly/2tW1nZy
What are the required skills for data science? http://bit.ly/2SkS9iX
What Does a Data Scientist Do? http://bit.ly/2Hi15PL
Data Scientist Job Descriptions: How to write an effective Data Scientist resume? http://bit.ly/2SipGKB
Top 15 Open-Source Data Science Tools to Learn in 2020 http://bit.ly/2HpWkDL
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Springboard is an online learning platform that helps you master in-demand skills through a personal 1:1 mentor-led model and a project-driven curriculum. Over the last 6+ years, we have served 10K+ learners in 100+ countries. We are now in India and are offering Career Track programs in Data Science, Data Analytics, AI/ML and UI/UX Design along with job guarantee.
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We are excited that you showed interest in our live session with industry experts. If you have any concerns/questions in the Data Science, Data Analytics, AI/ML space, please leave it in the comments section below. Our mentors are here to help you 🙂
Mam, I didn't understand about the p_value …can you please explain once again?
Hi wanted to know like u said company hire for different specialzation like nlp so what alll areas other than nlp they hire…
Thank you mam for these interview questions…
Plz try to arrange more of seaaion like this and try to include scenario based or real life project questions..
It would help us to explore us more.
Hello Ma'am,
In which real world Scenario, RNN and LSTM RNN fits in?