I don't think you need a bootcamp. Foundational DS concepts can be self-tough given the right resources (such as Manning's "Data Science Bookcamp" https://www.manning.com/books/data-science-bookcamp)
Manning has an early access book in the works, "Data Science Bookcamp: 10 Python Projects" "...you'll test and build your knowledge of Python and learn to handle the kind of open-ended problems that professional data scientists work on daily." https://www.manning.com/books/data-science-bookcamp
The following data science book also does a great job of balancing problem solving with underlying theory. https://www.manning.com/books/data-science-bookcamp And it starts with sample-space probability problems in Python, much…
After trying out various courses, playlists to learn, I found clicks by reading these sources: Data Science https://www.goodreads.com/book/show/17912916-data-science-fo... https://www.goodreads.com/book/show/148009.The_Elements_of_S... German language https://smartergerman.com/ Job Interview Prep https://www.goodreads.com/book/show/24263660-why-you…
…depends? 1. Programming Philosophy? - The Unix Philosophy - 97 Things every programmer should know 2. CS Fundamentals - The Elements of Computing Systems by Simon - Algorithms by Jeff Erickson 3. Data Science - Programming Collective Intelligence by Toby Segaran - Deep Learning by Ian Goodfellow & Yoshua Bengio
我觉得你不需要去上 bootcamp。只要有合适的资源（比如 Manning 出版的《Data Science Bookcamp》https://www.manning.com/books/data-science-bookcamp），DS 的基础概念完全可以自学搞定。
I don't think you need a bootcamp. Foundational DS concepts can be self-tough given the right resources (such as Manning's "Data Science Bookcamp" https://www.manning.com/books/data-science-bookcamp)
Manning 正在筹备一本抢先体验的新书《Data Science Bookcamp: 10 Python Projects》：“……你将检验并巩固自己的 Python 知识，学会解决专业数据科学家日常工作中遇到的各种开放式问题。”https://www.manning.com/books/data-science-bookcamp
Manning has an early access book in the works, "Data Science Bookcamp: 10 Python Projects" "...you'll test and build your knowledge of Python and learn to handle the kind of open-ended problems that professional data scientists work on daily." https://www.manning.com/books/data-science-bookcamp
《Data Science Bookcamp: 10 Python Projects》https://www.manning.com/books/data-science-bookcamp
Data Science Bookcamp: 10 Python Projects https://www.manning.com/books/data-science-bookcamp
下面这本数据科学书在平衡解决问题与底层理论方面也做得相当出色：https://www.manning.com/books/data-science-bookcamp。而且它是从 Python 中的样本空间概率问题入手的，非常……
The following data science book also does a great job of balancing problem solving with underlying theory. https://www.manning.com/books/data-science-bookcamp And it starts with sample-space probability problems in Python, much…
在试过各种课程和学习播放列表之后，我发现看这些资源才让我顿悟：数据科学 https://www.goodreads.com/book/show/17912916-data-science-fo... https://www.goodreads.com/book/show/148009.The_Elements_of_S... 德语 https://smartergerman.com/ 求职面试准备 https://www.goodreads.com/book/show/24263660-why-you…
After trying out various courses, playlists to learn, I found clicks by reading these sources: Data Science https://www.goodreads.com/book/show/17912916-data-science-fo... https://www.goodreads.com/book/show/148009.The_Elements_of_S... German language https://smartergerman.com/ Job Interview Prep https://www.goodreads.com/book/show/24263660-why-you…
……看情况？1. 编程哲学？ - 《Unix 编程哲学》 - 《程序员应该知道的 97 件事》 2. 计算机科学基础 - Simon 的《计算机系统要素》 - Jeff Erickson 的《算法》 3. 数据科学 - Toby Segaran 的《集体智慧编程》 - Ian Goodfellow 与 Yoshua Bengio 的《深度学习》
…depends? 1. Programming Philosophy? - The Unix Philosophy - 97 Things every programmer should know 2. CS Fundamentals - The Elements of Computing Systems by Simon - Algorithms by Jeff Erickson 3. Data Science - Programming Collective Intelligence by Toby Segaran - Deep Learning by Ian Goodfellow & Yoshua Bengio