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. Attendees will: use data visualization to parse data and extract useful features for machine learning, understand how to use text analytics and build and evaluate recommendation engines, create Hadoop clusters and run Hive queries on big data, build a real-time analytics pipeline for handling streaming data.
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.

The bootcamp covers several important machine learning and data science subjects to equip you in implementing predictive models and data pipelines end-to-end, understanding the underpinning theory and concepts, and ingraining the critical thinking process behind data science. The online course is instructor-led and taught live so you can still gain the advantage of being coached through your learning experience in a dynamic and interactive environment. We believe learning practical data science requires an attentive approach to teaching, so our online course follows the same principle as our in-person experience, where students are taught with live instructors, and will take part in the theory, practical exercises, activities, questions and answers, and more just like they would in a classroom.

Data Science Dojo’s course for managers and business leaders covers an overview of key machine learning and data science subjects to understand the landscape, business challenges, and important core concepts of machine learning and data science. The online course is instructor-led and taught live so you can still gain the advantage of being coached through your learning experience in a more dynamic, interactive environment than self-paced online courses. We believe learning data science properly requires an attentive approach to teaching, so our online course follows the same principle as our in-person experience, where students are taught with real instructors, and will take part in the theory, practical exercises, activities, questions and answers, and more like they would in a classroom.

Python has quickly become one of the most popular programming languages among individuals and organizations around the world. Its general purpose appeals to many different industries and allows professionals to transfer their skillset across careers, especially data science, machine learning, and artificial intelligence.
This Python course focuses specifically on data science. Throughout the course, you will practice the basics, learn more advanced techniques, and finish with a project to put all your newfound knowledge to use. With a remote, live lecture environment and taught in 5 days (3 hours per day), you can get started and polish your Python abilities for data science and analysis.