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data-science

5 Day Data Science Training

Experienced data scientists from Data Science Dojo will help you build a strong foundation of theoretical concepts on data science and big data engineering, while helping you apply them to challenging datasets. This certificate program will help you gain multiple technical skills.

Start from any skill level, this program is offered with no pre-requisites and only 5 days of in-person training.


Class Name

Our comprehensive bootcamp curriculum teaches professionals how to extract actionable insights from data. A series of live instructor‐led tutorials will teach you the fundamentals of data science and introduce you to the basic functions of R Programming, Amazon and Azure tools for data science and engineering. Our carefully crafted curriculum provides the right mix of theory, hands‐on labs, math, science, and engineering. Our experienced instructors bring anecdotes from frontlines to solidify learning. At the end of the bootcamp, our experienced data scientists guide your participation in a Kaggle competition. Graduates receive invites to alumni‐exclusive events, tutorials and networking groups.

61220 | $2,900

Data Science Bootcamp - Spring 1

03/09/2020 - 03/11/2020
Mon, Tue, Wed 8:00 AM ‐ 6:00 PM (3 Session Total)
Continuing Education Staff
CE North Building

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What You Will Learn?


Getting Ready

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. 

Fundamentals

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.

Machine Learning

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.

Kaggle Competition

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.


See the Curriculum


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