How to Become a Data Scientist in 2017? | Data Scientist Career | Data Science Future

Описание: About the Webinar :
Agenda of this session will include answers to the following questions:
1. Why is it the best time to take up Data Science as a career?
2. How can you take the first step in Data Science? (After all, first step is always the hardest!)
3. How can you become better and progress fast?
4. How is life after becoming a Data Scientist?

About the Host :
Jesse Steinweg-Woods is soon-to-be a Senior Data Scientist at tronc, working on recommender systems for articles and understanding customer behavior. Previously, he worked at Argo Group Insurance on new pricing models that took advantage of machine learning techniques. He received his PhD in Atmospheric Science from Texas A&M University, and his research focused on numerical weather and climate prediction.

Slides: https://www.slideshare.net/HackerEart...

Questions Answered:

1. How can a college fresher (say, studying in sophomore or final year) become a data scientist ? What projects can they do ? What skills should they focus on ? How to start applying for jobs ?

2. How can an experienced professional make a career shift into data science ? Let's say, someone has 3 years of experience in Java, and he now wants to become a data scientist. Or, let's say, someone knows Hive, Pig, Flume, Hadoop, what could be natural career progression for him ?

3. How is a Machine Learning Engineer different from Data Scientist ?

4. How is a Statistician different from a Data Scientist ?

5. How is a Data Engineer different from a Data Scientist ?

6. What is the relationship between data science and machine learning ?

7. What are the most commonly used ML algorithms in industry today, so that students can master them first ?

8. What is the future of Data Scientist job ? Will it survive after 5 - 10 years or get automated?

9. Can data science be used in building geological applications ? If yes, what would be the starting point ?

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About us:
HackerEarth is the most comprehensive developer assessment software that helps companies to accurately measure the skills of developers during the recruiting process. More than 500 companies across the globe use HackerEarth to improve the quality of their engineering hires and reduce the time spent by recruiters on screening candidates. Over the years, we have also built a thriving community of 2.5M+ developers that come to HackerEarth to participate in hackathons and coding challenges to assess their skills and compete in the community.