Touch of Data
Sense of Future

Education

May
20

Data Scientist

Summer immersion Program offer the same coverage with Our
Jun
03

Big Data Engineer

In our 16-week real internship projects, trainees will apply
Feb
11

Data Analyst in SQL

Our SQL course focuses on programming with T-SQL. It's
Feb
13

Growth Hacking

This training program is growth hacking boot camp and
Feb
26

Algorithm

Part I focuses on elementary data structures, sorting, and
Jun
17

Business Analyst

8-week training to transform you into a business analyst
Feb
25

Natural Language Processing

Topics related with Syntactic Processing, Semantic Analysis, Information Retrieval,
May
13

Python & Analysis

The class aims to introduce python to students who
Jan
28

Programming in Java

Pre-requirement class for Big Data Engineer Bootcamp This course
Jun
17

Data Scientist Basics

Data Scientist Basics This Program is designed to follow
Jun
03

Quantitative Finance Interview Training

We will cover 100 interview questions in quantitative finance

Alumni Network

FAQ

I'm a Master student, can I apply for this Data Scientist program?

Sure, of course.

We have a lot of master students in Data Scientist program with different academic backgrounds. They got very good position as ‘Data Scientist’ or ‘Data Analyst’ after they graduate from our program. ‘Phd’ is not a requirement to apply for this 20 weeks training.

What's difference between Data Engineer and Data Scientist? Which one should I apply?

We had some discussion on this issue.

In general, if you are a students in CS/EE, we will suggest you to consider ‘Data Engineer’ track first, because Data Engineer requires more programming skills. But you are welcome to join the ‘Data Scientist’ track too. For the ‘Data Scientist’ track, we have real diversity in academic background. You will find students with major in Chemical Engineer, Mechanical Engineer, Environmental Engineer, Statistics, Math, Finance, Economics, Physics, and etc.

Is this just a programming training course?

Programming is an important part of our training package. However, we will start easy, and provide more courses like python/java programming to help you get used to it.

You will get intensive training in python/java programming in the Data Scientist/Data Engineer track. In addition to big data tools, you’ll learn techniques and fundamental concepts from industry experts. Our aim is to lead you learn how to excavate value from big data and leverage it. Besides, we have a 10-week internship or end to end project to help you get hands-on experience.

Why can't I learn it myself by taking free online courses?

The free/cheap online courses are not practical. They teach the entry-level knowledge of data engineer/scientist. While everyone can take it and pass it easily, how could you stand out among your competitors?

In Data Application Lab, we provide real project or even internship opportunities for you to get hands-on experience. This project is not the ‘capstone’ project which can be done in 2 weeks. We will give you 10 weeks, under the guidance of our TA and Instructors, to complete the End-to-End project. This project is ‘high-profile’ that it can be used as your Demo for interview. You won’t use college courses’ project for your job interview, will you?

You can learn knowledge from both Coursera as well as from us. However, if your goal is to find a job, only we can help.

Is Data Scientist program about machine learning?

No, no, no. This is the biggest misunderstanding for the ‘self-taught’ data scientist amateurs.

Data scientist usually have to spend 80% of their time doing data cleaning, data ETL. Machine Learning is only the last part of the stream-line in data application development in real companies.

In our program, we will cover topics like machine learning, but also other necessary topics like data ETL in Hadoop ecosystem, Spark machine learning, and guide you through the real ‘End2End’ project. You will then know that, data scientist is way beyond Machine Learning

What is 'Lambda' architecture in Data Engineer track?

‘Lambda’ data architecture is the vastest used data architecture in Silicon Valley for real-time streaming. Whether you can build a data application based on ‘Lambda’ architecture, is a criterion to differentiate ‘ready to use’ Data Engineer from ‘book-collector’ Data Engineer.

The Data Engineer program is very practical. We focus on real-time data streaming in Hadoop and Spark, which is also the real need from companies in all industry. You can learn knowledge from both Coursera as well as from us. However, if your goal is to find a job, only we can help.

OFFICE

Downtown L.A.

555 West 5th,
Los Angeles, CA 90013

Greater L.A.

925 S Atlantic Blvd
Monterey park, CA 91754

Silicon Valley

43002 Christy St
Fremont, CA 94538