A hands-on 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 three-week boot camp, you'll get hands-on experience using raw data (numerical, textual, visual, audio, ...) to create computational essays and reports that deliver impressive state-of-the-art analyses. You have the option to bring your own dataset to camp, allowing you to make discoveries and develop results in an area that is of importance to you.

Instructors

Going from Raw to Computable Data:
The Art of Data Curation Aaron Enright Senior Data Scientist, Wolfram|Alpha

Statistical Tools for Data Science Gosia Konwerska, PhD Kernel Developer, Wolfram Research

Creating Compelling Reports Michael Morrison Corporate Analysis, Wolfram Research

Visualization Techniques and Trends Brett Champion Lead Developer of Visualization Development, Wolfram Research

Architecture of Modern Machine Learning Etienne Bernard, PhD Lead Architect for Machine Learning, Wolfram Research

The Multiparadigm Data Science Workflow Abrita Chakravarty Training & Development Specialist, Wolfram Research

Applications of Neural Networks Tuseeta Banerjee, PhD Research Scientist, Wolfram Research

Data Science Case Study:
Public Relations Analysis Dylan Boliske Senior Developer, Wolfram Research

Introduction to the Wolfram
Technology Stack Kelvin Mischo Certified Instructor, Wolfram Research

Visualizing Data Quickly Luke Titus, PhD Wolfram Technology Engineer, Wolfram Research

Deploying Web Forms, Results
and Reports Chad Knutson, PhD Applications Developer, Wolfram Research

Data Science Case Studies:
Automotive Data Analysis
and Meal Tracking Andrew Steinacher Lead Developer, Wolfram|Alpha

Agenda

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

Week One

Introduction to the Wolfram technology stack
Introduction to data formats, structuring and organizing
Exploring data sources
Tech mentor discussions and project explorations
Using computational essays to communicate results

Week Two

Hands-on, in-depth training on data science concepts
Lectures and discussions on implementing data science concepts
Analyzing data using different algorithms and techniques
Independent project work, applying concepts

Week Three

Machine learning and neural networks
Visualizations
Designing reports and creating templates
Cloud deployment for sharing results
Project finalization and certification

Typical Daily Schedule

9–11:30am

Topic introductions and concept lectures

11:30am–1:30pm

Working lunches, discussions with instructors and group activities

1:30–5pm

Hands-on explorations and application of concepts and topics

FAQs

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 should I bring?

A laptop, 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 (from middle school up) to do high-level programming. It'll help if you have an organized, analytical mind, and it won't hurt if you're an experienced programmer (and if you happen to know a functional language, you'll be at an advantage), but we wont assume any specific programming experience. If needed, there will be tutors available to provide hands-on 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 hands-on knowledge of multiparadigm data science, you'll have computational essays you have written. Select computational essays can be posted on the boot camp website and can also be submitted in order for the attendee to pursue Wolfram certification as a Multiparadigm Data Science Associate. Consulting services are offered for a fee by Wolfram Technical Services outside the boot camp.

Can I bring proprietary data to the boot camp?

To optimize the peer learning experience, we suggest that data brought to 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 three-week program costs $4,000 for industry or commercial attendees, $2,000 for teachers or professors and $1,000 for students. This includes class materials and 90-day access to Wolfram|One. High-speed internet is available. We will provide coffee and beverages throughout the day and group lunches.

Where will the boot camp take place?

The boot camp will be held at Wolfram corporate headquarters, 100 Trade Center Drive, Champaign, Illinois.

Do you have lodging available?

Since Champaign is a college town, there are many inexpensive options for housing available, especially during the summer.