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Data Science and Data Engineering Bootcamp DataScienceDojo

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Introduction

Welcome to Data Science Dojo! Learn data science and data engineering from a company that has trained over 2300 aspiring data scientists from more than 250 companies globally.

At Data Science Dojo, we believe that you do not need an advanced degree or months of training to get started with data science. Unlike other offerings, our trainings are short, hands-on and personal.
Our attendees come from diverse backgrounds, including software development, medicine, education, project management, public service, finance, and more. Our hands-on curriculum will get you started with practical data science and data engineering in just 5 days. Our experienced teaching team has iteratively refined the curriculum so you can tackle real world problems right away.

Learn the theory and practice of data science and engineering using state of the art tools:

  • Explore, visualize, and cluster data
  • Build and evaluate predictive models for classification and regression
  • Design online experiments
  • Build an end-to-end 'internet of things' (IoT) solution.
  • Through hands-on exercises, you will be exposed to a variety of technologies: Hive, Spark, Mahout, Hadoop, stream processors, data ingestors.

After the bootcamp, our mentors will guide you as you take on new data science problems through Kaggle competitions.


Requirements

Recommend knowledge of at least one programming/scripting language or computing environment and an interest in data science or data engineering. For newbies, we have a series of online tutorials that will prepare you for the bootcamp!


Duration

8:00 am - 6:00 pm, 10 hours a day, 5 days a week.

Format

  • 50% Lectures + 50% Labs + Exercises + Demos
  • 10 hours of preparatory work through videos and online training materials
  • 50 hours of in-class training
  • Mentored Kaggle project participation

Certificates

Once you have completed the 5-day training, you will be issued a certificate that you can print or add to your LinkedIn profile for others to see.

Note: that the certificate does not represent official academic credit.


Instructors

Raja Iqbal

Raja Iqbal, CEO and Chief Data Scientist
Raja has worked at Microsoft Bing and Bing Ads in various research and development roles in data science and machine learning.


David Langer

David Langer, Sr. Director, BI and Analytics
David is a master data scientist with a background as a data architect and programs manager.


Margaux Penwarden

Margaux Penwarden, Data Scientist
Margaux is a Data Scientist in the Data & Analytics team at BearingPoint, Paris. Margaux holds a Bachelor's in Computer Science and Mathematics from Télécom Paristech, and an Master's in Statistics from Imperial College, London. 


Phuc Duong

Phuc Duong, Senior Data Engineer
Phuc holds a Bachelors degree in Business with a focus on Information Systems and Accounting from the University of Washington.