A class for computer-literate people with no data science background who wish to learn Big Data programming.
This is a 6-week evening program providing a hands-on introduction to the Hadoop and Spark ecosystem of Big Data technologies. The course will cover these key components of Apache Hadoop: HDFS, MapReduce with streaming, Hive, and Spark. Programming will be done in Python. The course will begin with a review of Python concepts needed for our examples. The course format is interactive. Students will need to bring laptops to class.
This is an awesome program you will not regret attending! I was in the Jan-April 2016 cohort. The course covers everything you need to know to apply for data scientist jobs. We started from the fundamental of stats in R, and moved into machine learning in both R and Python. In the last two weeks we also got a fair exposure to big data tools like Hadoop and Spark. The instructors we have are AMAZING!!! They are super knowledgeable and also very passionate about data science. TAs are the most hard working group of people I know! They really try their best to help you. Students at the bootcamp are impressive as well. Most of them either have a phd degree or have significant/successful work experiences prior to joining the bootcamp. We did five projects during the bootcamp which you can totally show off during your job interviews! And you will have a least a few job interviews guaranteed during/after the bootcamp. They really tried their hardest to help you preparing and securing job interviews. I personally had at least 5 interviews while I was still in the bootcamp, and was hired only two weeks after the bootcamp ended. The program wasn’t easy, you will have a ton of homework and projects to do, but they are always there to support and help you. I would recommend this 12 weeks bootcamp to anyone who wants to be a data scientist or simply interested in data science.
The productivity of all the students including myself is one of the most remarkable things about my NYC Data Science Academy experience. The environment of top tier professors, hands on teaching assistants and extensive resources to learn from is inevitably going to prepare you well for a data science career if you are willing to put in the effort. You learn a wide array of tools and gain very good insight about the field itself. They're very proactive when it comes to helping you with your job search.
To get the most out of the class, you need to be familiar with Linux file systems, Linux command line interface (CLI) and the basic linux commands such as cd, ls, cp, etc. You also need to have basic programming skills in Python, and are comfortable with functional programming style, for example, how to use map() function to split a list of strings into a nested list. Object oriented programming (OOP) in python is not required.
Certificates are awarded at the end of the program at the satisfactory completion of the course. Students are evaluated on a pass/fail basis for their performance on the required homework and final project (where applicable). Students who complete 80% of the homework and attend a minimum of 85% of all classes are eligible for the certificate of completion.