You can learn data science – even if you are an absolute beginner. Our carefully-curated pre-bootcamp content will teach you the necessary programming, statistics, machine learning and data science concepts to set you up for success.
Data-related issues are often overlooked – even by practitioners. We emphasize on fundamentals of data exploration, visualization, feature engineering, quality, acquisition and sampling to give you a solid foundation to predictive analytics.
The curriculum covers a wide array of classification, regression, recommendation and unsupervised learning techniques. We emphasize on both of solid understanding of algorithms and their correct usage.
Evaluation and Parameter Tuning
Correct choice of metrics and parameter tuning are essential to building robust predictive models. A combination of lecture, discussion and hands-on labs will ensure that you have the ability to choose the right metrics for your model and you can tune your machine learning model to make it more generalizable.
Big Data and Streaming Analytics
Even data scientists need some data engineering skills. You will Hadoop cluster in the cloud and run Hive queries. You will also learn to build message queues and process data in real-time. At the end you will build an Internet of Things application.
All attendees compete in an in-class Kaggle competition. Attendees start with simple predictive models on day 2 culminating in models that perform clever feature engineering with a lot of parameter tuning. Winners are announced on the last day of the bootcamp.