Big Data Day Camp
BIG DATA TOOLS & TECHNIQUES - OCTOBER 1-2, 2019
Amazon Web Services
INTRODUCTION TO AWS BASICS - OCTOBER 8, 2019
Distinguished Speakers in Communication Theory & Systems
Seminar Series Fall 2018
logo-daycamp

2019-2020 Schedule

October 1-2, 2019
Big Data Tools & Techniques

October 29-30, 2019
Machine Learning Workshop

January 14-15, 2020
AWS IoT/5G Workshop

March 5-6, 2020
Big Data Advanced Workshop

April 1-2, 2020
Tableau Training

April 30 – May 1, 2020
Data Engineering Workshop

REGISTRATION

Early Bird Registration for Industry Professionals is at $850. See workshop descriptions for deadline.

 

Industry Registration

$950 (Early Bird rate is $850)

Academic Registration

  • Faculty, Staff, and Post-Docs qualify for an educational rate of $500
  • Students qualify for a rate of $350

Location

UC San Diego Extension – University City Center
6256 Greenwich Dr.
San Diego, CA 92122

Instructor

Natasha Balac
Director, Interdisciplinary Center for Data Science (ICData) at UC San Diego
Read More

October 1-2, 2019
Big Data Tools & Techniques

Two Day Workshop
8:30 AM – 5:00 PM

Who is this for? Data analytics and technology practitioners, data scientists, IT and BI professionals, analytics project leaders.

Learn how to use data to make wise, actionable data driven decisions! The future is Big Data, and the critical value and demand for Data Scientists, Machine Learning Engineers, and Data Engineers is clear, as demonstrated by the number of job postings and three-figure compensations.

How is it structured? This workshop will provide participants with practical, hands-on learning experiences, including:

  • How to conquer technical Big Data obstacles
  • Introduction to Big Data platforms and best practices
  • How to select the most appropriate Big Data technology
  • Essential skills to design, build, test and evaluate machine learning models
  • Ways to advance analytics and interpret the results
  • Resources, skills, and strategy for your  next Big Data project

Early Bird Industry Registration Ends September 15th.

October 29-30, 2019
Machine Learning Workshop

Two Day Workshop
8:30 AM – 5:00 PM

Who is this for? Data analysts and technology practitioners, data scientists, IT and BI professionals, software engineers, data engineers, analytics project leaders, scientists, engineers, and managers.

Learn how to use data to make actionable data driven decisions! Big data is not a hype any more it’s a reality! The demand for Data Scientists, Machine Learning Engineers, and Data Engineers is unprecedented, as demonstrated by the ever-growing number of job postings and increasing compensations.  Whether you are thinking about changing your current career or augmenting your skills – this workshop is for you. No previous programming knowledge required.

How is it structured? This workshop will provide participants with practical, hands-on learning experiences, including:

  • Introduction to Machine Learning platforms and best practices
  • Prepare data and build predictive models
  • How to select the most appropriate method
  • Essential skills to design, train, test and evaluate machine learning models
  • Approaches to advance analytics and interpret the results

Early Bird Industry Registration Ends October 13th.

DAY 1 - 8:30AM to 5:00PM

8:30AM – Welcome and Introduction

9:00AM – Data Modeling 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

12:00PM – Lunch Break

1:00PM – Analytics Platform Introduction and Tutorial

2:00PM – Hands-on Exercises Data Load and Manipulation

3:00PM – Data Preparation and Munging (Lecture + Hands-on)

3:45PM – Basic Algorithms: Naive Bayes and K-Nearest Neighbor (Lecture + Hands-on)

4:30PM – Quick Recap of the Day

5:00PM – End of Day 1

DAY 2 - 8:30AM to 5:00PM

8:30AM – Supervised Learning: Decision Trees and Regression Trees (Lecture + Hands-on)

9:30AM – Market Basket Analysis and Recommendation Engines (Lecture + Hands-on)

10:30AM – Unsupervised Learning: Clustering Methods (Lecture + Hands-on)

11:15AM – QI Tour

12:00PM – 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

5:00PM – Workshop ends

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