Big Data Day Camp
Big Data Tools & Techniques - OCTOBER 25-26, 2018
Amazon Web Services
Introduction to AWS Basics - OCTOBER 22, 2018
Distinguished Speakers in Communication Theory & Systems
Seminar Series Fall 2018 | OCTOBER 1 to DECEMBER 3

2018-19 Schedule

October 25-26, 2018
Big Data Tools and Techniques

January 17-18, 2019
IoT Tools and Techniques

March 14, 2019
Dashboards and Data Visualization Using Tableau

March 15, 2019
Deep Learning

May 16-17, 2019
Tech Trends Studio – Vendor expo and hands-on presentations

Big Data Day Camp Series at Qualcomm Institute, UC San Diego

Who is this for? Industry professionals, researchers and graduate students.
Learn how to use data to make wise, actionable data driven decisions!

How is it structured? Qualcomm Institute’s series of day camps provide participants with practical, hands-on learning experiences, including:

  • How to conquer technical Big Data obstacles
  • Introduction to Big Data platforms including Hadoop, Spark and Kafka
  • Essential skills to design, build, test and evaluate predictive models
  • How to match appropriate Big Data tools to suitable projects
  • Classification, regression, clustering and recommendation system
  • Ways to apply machine learning algorithms to real data and interpret the results
  • Resources, skills, and plans that you can take with you to your next data science project

Instructed by Dr. Natasha Balac. LinkedIn

Registration for Big Data Tools & Techniques (Oct 25-26) Now Open


8:30am: Welcome and Introduction
9:00am: Data Modelling in the Age of Big Data
10:00am: Data Science Industry Landscape: Who Does What?
11:00am: Intro to Big Data Concepts, Tools and Technologies (HDFS, Hadoop, Spark, etc)
12:00pm: Lunch Break
1:00pm: Intro to Basic Machine Learning Concepts and Methods
2:00pm: Analytics Platform Introduction and Tutorial
3:00pm: Data Preparation and Munging (Lecture + Hand-on)
3:45pm: Basic Algorithms: Naïve Bayes and K-Nearest Neighbor (Lecture + Hand-on)
4:30pm: Quick Recap of the Day

8:30am: Supervised Learning: Decision Trees and Regression Trees (Lecture + Hand-on)
9:30am: Market Basket Analysis and Recommendation Engines (Lecture + Hand-on)
10:30am: Unsupervised Learning: Clustering Methods (Lecture + Hand-on)
11:15am: QI Tour
12:00am: Lunch
1:00pm: Model Evaluation and Validation
1:45pm: Data Mining Process Standardization – Putting CRISP-DM to work
2:00pm: Navigating the World of Data Science Tools
2:30pm: Hands-on Project: Small Group Team work on the Case Study and Discussion
4:30pm: Final Discussion, Overview and Conclusion


Space is limited to 25 attendees for each camp.

Industry rate for each day camp is $750.

Graduate students, postdoctoral fellows, faculty and national lab employees qualify for an educational rate of $600, a $150 savings. Please enter your academic organization, title and valid email address when registering.

Reserved parking is available, but limited, and will be assigned on a first-come, first-serve basis.

Contact Us

We're not around right now. But you can send us an email and we'll get back to you, asap.

Not readable? Change text. captcha txt

Start typing and press Enter to search