Learn Essential Skills to Kick-start Your Career
Data Science skills are in ever-increasing demand. Whether you are a data science beginner, a software engineer looking to augment skills, or even a business professional looking beyond the hype, our Kick-start track is for you.
Accelerated Learning Over 4 Packed Days
The Data Science Kick-start track offers many introductory level talks, tutorials, and workshops to get you started. Our expert speakers and presenters offer world-class instruction, and give you invaluable insights to help you learn what matters most. We cover the most important tools, topics, and techniques in use to ensure you hit the ground running.
Some of Our Current Speakers














Sessions on Data Science Kick-start Track
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Workshop: Deciphering the Black Box: Latest Tools and Techniques for Interpretability
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Talk: Adversarial Attacks on Deep Neural Networks
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Training: Integrating Pandas with Scikit-Learn, an Exciting New Workflow
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Workshop: Machine Learning for Digital Identity
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Talk: Adding Context and Cognition to Modern NLP Techniques
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Training: Good, Fast, Cheap: How to do Data Science with Missing Data
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Workshop: Open Data Hub workshop on OpenShift
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Talk: Practical AI Solutions within Healthcare and Biotechnology
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Training: Apache Spark for Fast Data Science (and Fast Python Integration!) at Scale
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Workshop: Reproducible Data Science Using Orbyter
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Talk: Combining Millions of Products into One Marketplace Using Computer Vision and Natural Language Processing
Why Attend?
Who Should Attend
The Data Science Kick-start track is ideal for anyone looking to learn the languages, tools, and topics of data science. Not only will you train in key areas of data science like deep learning and machine learning; you will also learn the tools and languages to implement modules such as TensorFlow, scikit-learn, Python, and R
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Beginners interested in getting started in data science
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Individuals seeking to better understand focus areas of data science such as deep learning, machine learning, text analytics etc.
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Software engineers and software architects looking to employ machine learning and data science in their programming
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Data wranglers and database specialists looking to leverage their existing data assets with data science tools and models
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Business professionals interested in data science and looking to gain a deeper understanding
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Experienced data scientists looking to enhance their data science skills
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Anyone interested in learning data science languages such as Python, R, and Julia
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Technologists looking to use the latest data science tools such as Apache Spark and TensorFlow to implement machine learning and deep learning
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Students and academics looking for more practical applied training in data science tools and techniques
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Industry experts looking to assess the impact of data science on their industry