How to Become a Data Scientist in 2017 ?
(如何在2017年成为一名数据科学家?)
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.
关于主讲人:
Jesse steinweg - woods即将成为tronc的一名资深数据科学家,致力于文章的推荐系统和理解客户行为。此前,他在Argo Group Insurance工作,主要利用机器学习技术采用了新的定价模型。他在德克萨斯A&M大学获得了大气科学博士学位,他研究领域是数值天气和气候预测。
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?
该讲座主要探讨了以下问题:
1.为什么现在是成为数据科学家的最佳时间?
2.如何在数据科学中迈出第一步?(毕竟,第一步总是最难的!)
3.怎么能变得更好,进步很快?
4.成为一名数据科学家后的生活怎样?
【视频讲解·中文字幕】
How to Become a Data Scientist in 2017 ?
如何在2017年成为一名数据科学家?(一)
如何在2017年成为一名数据科学家?(二)
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 ?
如何在2017年成为一名数据科学家?·pdf
CDA数据分析研究院团队译制
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