OverviewData Science Dojo is a paradigm shift in data science learning. We offer short-term, in-person, hands-on data science training that will get you started with practical data science in just one week.
Learn and apply data science. 10 hours a day for 5 days. 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.- 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
- Be exposed to a variety of technologies: Hive, Hadoop, Mahout, Spark, stream processors and data ingestors
- Participate in a Kaggle competition
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Learning OutcomesAt the end of the bootcamp, every attendee will be able to:- Explore an unknown dataset
- Build, evaluate, fine-tune and deploy a predictive model as a service
- Build an end-to-end big data pipeline to handle large volumes of data - even if the data is arriving in real time
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Who should Attend?- Everyone is welcome to attend our bootcamp! Our attendees come from diverse backgrounds. They are software developers, program/product managers, management consultants, financial/business/data analysts, academic researchers, geophysicists, geochemists, policy analysts, engineers, statisticians – even veterinarians and medical doctors have successfully completed the bootcamp.
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Eligibility Criteria- While we do recommend having knowledge of at least one programming/scripting language or computing environment, many of our attendees come to us with little to no experience with programming. Our pre-bootcamp coursework includes tutorials on Introduction to R Programming to get you ramped up for the bootcamp!
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This course is endorsed under Critical Infocomm Technology Resource Programme Plus (CITREP+) Programme. To find out more about CITREP+ Funding, please refer to Programme Support under Training Course and Certification.
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Information is accurate as of 17 December 2019