*Please note, we have two sessions, one on a weekday or weekend, you can choose either one for the class:
Weekday Session:Tue 4/7 7PM to 10 PM (PST) to Thur 4/9 7PM to 10PM (PST)
Weekend Session:Sat 4/11 9AM to 5PM (PST) to Sun 4/12 9AM to 5PM (PST)
Google Cloud for Data Scientists
Data Science is all the rage today, & Google is one of the major promoters of it. Google Cloud Platform (GCP) is one of the leading platforms for Data Science.
In this course, the students will learn to do Data Science with Python, & the capabilities of Google Cloud specific to Data Science.
What you will learn:
Understand Google Cloud's features for Data Science
Process of doing Data Science
Using Google Compute Engine
Using Google Cloud Storage
Visualizing data using Google Data Studio
Running SQL queries using Big Query
Data analytics with Python
Running Python code on Google Cloud
Large scale data analytics with Apache Spark
Running Spark using Google DataProc
Data Analysts, Data Scientists
Three to four days depending on the agenda
Lectures & hands*on labs. (50%, 50%)
Interested in Data Science (data science overview is included as needed)
Some basic knowledge of Python is highly recommended but not mandatory.
Our labs utilize Python language. But Python is a very easy language to learn. So even you don't have previous exposure to Python, you will be able to complete the labs.
Some programming experience is highly recommended
Zero Install: There is no need to install any software on students' machines!
Students will need the following
A reasonably modern laptop
Unrestricted connection to the Internet. Laptops with overly restrictive VPNs or firewalls may not work properly
A Google Cloud account is highly recommended.
All our course dates are available to take live online from your home or office FYI. We do list them as live online versus remote classroom for the Live Online dates.
Expert instructors: the instructors who teach our online classes are the same instructors we send out to teach private groups. The are no less than outstanding.
Interactive Learning: our classes are very hands on. The teaching process is generally as follows:
Instructor explains new concept
Instructor shows demo & answers questions
Students do exercise with instructor available for help
Instructor reviews solution & answer questions
During exercises, the instructor is able to (with your permission) see your computer, so he or she can provide one-on-one assistance to help you debug a problem or work through a solution.
Convenient: no travel.
About the Instructor:Sujee Maniyam is a seasoned practitioner & founder of Elephant Scale. He teaches & consults in AI (machine learning & deep learning) & Big Data technologies (Hadoop, Spark, NoSQL & Cloud). He is an open source contributor & author of 'Hadoop illuminated' (an open-source book on Hadoop) & 'HBase Design Patterns'. Sujee is a frequent speaker at various conferences & meetups. He also advises & mentors various firms.If you have any questions please contact: Thomas@ElephantScale.org
*Please note, if we do not meet a class minimum we will cancel the class & issue an immediate refund*