Data Science Boot Camp Dates: December 2 & 9, 2017, Location: Plug & Play Tech Center, Sunnyvale

Data science, is an interdisciplinary field about scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured. With availability of huge amounts of data and various software tools and technologies, almost every industry needs a data scientist as there are lots of interesting use cases. As rightly pointed out by Hal Varian, Google’s Chief Economist, “…the ability to take data—to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it—that’s going to be a hugely important skill in the next decades…”. The Harvard Business Review calls it “The Sexiest Job of the 21st Century”. Also, both government and industry have indicated that there is a dire need for data scientists for new and emerging jobs. What Do We Deliver? • The Boot Camp is designed to

addresses current market needs • Educational content delivery through

lectures, and hands-on training for DNN using Tensor flow

• Personalized training for job seekers to make them employment ready and grow professionally

• Advice and mentoring on emerging technologies such as using Python to develop deep learning model

Why Data Science? How Do We Deliver This? • Developing partnerships and

collaborations with corporations and academia using a public private partnership model.

• Bringing world class teaching talent to job seekers by drawing on a team of an experienced multi-disciplinary faculty from both academia and industry located in Silicon Valley and other high tech centers around the globe.

• Advising on emerging technologies staffed by a team of multi-disciplinary international faculty.

• Focussing on Data Science and emerging technologies, where there is a significant shortage of skills.

Topics Covered • Computer Programming and

Software Tools for Data Science: Python, Spark, SQL, NoSQL, etc.

• Statistical Tools & Techniques for Data Science: Statistical Inference, A/B Testing, Sampling, etc.

• Machine Learning: Supervised and Unsupervised Learning, SVM, Deep Learning, Tensor Flow

• Business Analytics – Data Wrangling, Analysis, Visualization and Decision Making

• Development Process: Design, Experiment, Deployment

Key Features • Learn from the experts

• Special training programs

for professional development that bridge the gap between academia and industry

• A platform for job seekers

to learn, discuss and disseminate knowledge through lectures, webinars and hands on training to hone technical skills

• Online collaboration

using Whiteboard, Desktop Sharing

• Establish relationship with industry for greater engagement and job opportunities

• Keep-up-to-date with

latest developments in this field

• Jump-start a career in

Data Science • A certificate of

recognition will be given to all candidates upon successful completion

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Program Director: Professor Subhankar Dhar, Email: subhankardhar@gmail.com

Learning Objectives Instructors

Highlights

• Expose to a good understanding of the applications of data science in business

• Understand the process of designing, implementing, and communicating the results of a data science project with appropriate stakeholders

• Be familiar with various toolkits and related packages most commonly used in data science

• Understand the landscape of data science tools and their applications, and identify and dig into new technologies and algorithms needed for the job at hand

• Know the fundamentals of data visualization

• Have introductory exposure to modern big data tools and architecture, such as Spark – and know when these tools are necessary and utilize them in a big data project.

• Analyze large datasets to get insights and make business decisions

Registration Early Bird Special ends Nov 25, 2017 • TiE Members: $149.50 • Non-Members: $299

After Nov 25, 2017 • TiE Members: $199.50 • Non-TiE members: $399 Just go to the following website https://tieeco.org/event/data-science-boot-camp and complete the registration process online. You can also contact us through email if you need further information. Venue: Plug and Play Tech Center 440 N Wolfe Rd, Sunnyvale, CA 94085 Date & Time: December 2 & 9 (Saturdays), 2017 Time: 10 am – 4 pm Note: All participants must bring their own laptop to work on lab exercises

The duration of Boot Camp is two days covering the following major areas:

• Day 1: Practical introduction to some of the most common programming languages such as Python used in data science, common multivariate statistical techniques used to visualize high-dimensional data

• Day 2: Conceptual introduction to the ideas behind turning data into actionable knowledge, Data Capture, Data Cleansing and Basic Exploratory Analysis, Machine Learning, SVM, Deep Learning, Tensor Flow

Intended Audience

Professor Subhankar Dhar San Jose State University

Professor Rao Vemuri University of California, Davis

Dr. Bibhrajit Halder Former Architect, Apple

Dr. Suman Bhattacharya Senior Data Scientist, Uber

• Students in Computer Science, Engineering, Information Systems & Technology, Mathematics, Statistics, Physics and related scientific disciplines who want to have a successful career in this field

• Fresh graduates who wish to launch a career in Data Science

• Working professionals who want to work in this emerging area

• Professionals who want to keep up-to-date with the latest developments in this field

Prerequisites • Some knowledge of basic statistics

is presumed • A working knowledge of a high-level

computer programming language is desirable