Data Science
Boot Camp
July 20–31, 2020 | Online
  • Dynamic Visualization
  • Data Curation
  • Machine Learning
  • Statistical Methods
  • Image Analysis
  • Optimization
  • Network Analysis
  • Time Series
  • Semantic Text Analysis
  • Report Generation
  • Systems Modeling

A guided online introduction to applied multiparadigm data science

Used by leading organizations around the world, the Wolfram technology stack defines a new level of performance and automation for multiparadigm data science. Learn from the creators of Mathematica and Wolfram|Alpha how to leverage the capabilities of the Wolfram Language to deliver world-class data science results, routinely using the latest and most powerful techniques.

The Wolfram vision for multiparadigm data science »

What You'll Learn

In this two-week online boot camp, you'll connect remotely with our experts for a guided online introduction to applied multiparadigm data science and learn to create computational essays and reports that deliver impressive state-of-the-art analyses. You have the option to use your own dataset at camp, allowing you to make discoveries and develop results in an area that is of importance to you.



Introduction to the Wolfram Technology Stack Kelvin Mischo Senior Academic Key Account Manager, Wolfram Research
The Multiparadigm Data Science Workflow Abrita Chakravarty Training & Development Specialist, Wolfram Research
Data Science Is More than Just Statistics Jon McLoone Director of Technical Communication & Strategy, Wolfram Research Europe
Going from Raw to Computable Data:
The Art of Data Curation
Aaron Enright Senior Data Scientist, Wolfram|Alpha
Visualizing Data Quickly Luke Titus, PhD Wolfram Technology Engineer, Wolfram Research
Creating Compelling Reports Dylan Boliske Senior Developer, Wolfram Research
Data Science Case Studies Jofre Espigule-Pons Community Advancement Consultant, Wolfram Research
Architecture of Modern Machine Learning Etienne Bernard, PhD Lead Architect for Machine Learning, Wolfram Research
Applications of Neural Networks Tuseeta Banerjee, PhD Research Scientist, Wolfram Research
Building Applications with the Wolfram Cloud Joel Klein Manager of Distributed Systems Engineering, Wolfram Research
Working with SQL and Relational Databases Leonid Shifrin, PhD Connectivity Engineering Consultant, Wolfram Research
Graph Analytics Jaebum Jung, PhD Senior Kernel Developer, Wolfram Research
Statistical Tools for Data Science Gosia Konwerska, PhD Kernel Developer, Wolfram Research
Data Science Case Studies Andrew Steinacher Lead Developer, Wolfram|Alpha
Data Science Case Studies Brian Wood Technical Communications & Outreach Manager, Wolfram Research


Tech mentors will be available throughout the camp for guidance and assistance.

Week One

  • Introduction to the Wolfram technology stack
  • Notebook-based multiparadigm data science workflows
  • Computational essays
  • Visualizing data quickly
  • Going from raw to computable data
  • Multiparadigm toolset for question-driven data science

Week Two

  • Creating compelling reports
  • Building applications with the Wolfram Cloud
  • Applications of neural networks and machine learning
  • Graph analytics
  • Statistical tools for data science
  • Sharing of computational essays
  • Typical Daily Schedule

    10:30am–12:30pm (all times are US EDT)

    Topic introductions and concept lectures




    Exercises, explorations and application of concepts


Who is the Wolfram Data Science Boot Camp for?

Anyone who wants to be able to do the latest practical data science—at any stage of their career or education.

What do I need in order to participate?

A computer, a reliable internet connection, a problem or question, a sample dataset and the willingness to explore.

How much programming do I need to know before the boot camp?

None! The extreme automation of the Wolfram Language means it's easy for anyone to do high-level programming. If you have experience with the Wolfram Language, you'll be at an advantage. The first days of the boot camp will be devoted to introducing Wolfram Notebooks and the Wolfram technology stack. If needed, there will be tutors available to provide individual help for getting started.

Do I need to know math to do the boot camp?

You'll be able to go through the whole boot camp with high-school-level math (for example, you won't need to know calculus), but if you know more sophisticated math, there will be ample opportunities to make use of it.

What will I come away with from the boot camp?

In addition to practical knowledge of multiparadigm data science, you'll have computational essays you have written. All campers will receive a certificate of boot camp completion. Those who successfully complete graded exercises during the boot camp will become Wolfram Certified Level I in the area of multiparadigm data science. Campers who demonstrate applied expertise with a completed project will become Wolfram Certified Level II in the area of multiparadigm data science.

Can I bring proprietary data to the boot camp?

To optimize the peer learning experience, we suggest that data used during the boot camp is something that can be shared with other attendees. However, special arrangements can be made, and our instructors will be operating under our standard corporate NDA.

How does the boot camp compare to the Wolfram Summer School?

The Wolfram Summer School is a selective program for people with good Wolfram Language experience who want to carry out an original project using Wolfram methodologies. The Data Science Boot Camp is intended for a broader audience but concentrates specifically on data science.

How much does it cost?

The two-week program costs $2,000 for industry or commercial attendees, $1,000 for teachers or professors and $500 for students. This includes class materials and 90-day access to Wolfram|One.

Where will the boot camp take place?

The boot camp will be held online.

What is the cancellation policy?

A full refund will be given for a cancellation made by July 6.