Name: Data Science & Data Engineering Workshop
Start: 2019-05-11T09:00:00+08:00
End: 2019-05-11T17:00:00+08:00
Location: Fortune Building

This is a paid workshop. Please purchase the tickets at eventbrite using the url below.
https://www.eventbrite.hk/e/data-science-engineering-workshop-tickets-56778228209

If you want to build a lucrative career in Machine Learning and AI, come join us and hear from our speakers. The workshop is designed to give you the solid foundation to kick start your career in Machine Learning & Data Engineering. The workshop will be fully interactive and provide hands-on coding experience using Apache Spark and Databricks Unifiied Analytics Platform. Please note that you will be allowed to attend one of the two workshops listed below.

Workshop Option 1: Data Science Workshop with Apache Spark

Speaker’s Bio
Hien Luu
Engineering Manager @ LinkedIn
LinkedIn : https://www.linkedin.com/in/hienluu/
Twitter handle: @hluu

Hien Luu is an engineering manager at LinkedIn and he is a Big Data and Machine Learning enthusiast. He is particularly passionate about the intersection between Big Data and Artificial Intelligence. Teaching is one his passions and he is currently teaching Apache Spark course at UCSC Silicon Valley Extension school. He has given presentations at various conferences like QCon SF, QCon London, Hadoop Summit, JavaOne, ArchSummit and Lucene/Solr Revolution.

Workshop Details
Title: Introduction to Machine Learning & Data Science with Apache Spark
Target audience:
Data Engineer, Data Analyst, Machine Learning Engineer, Data Scientist and Technical manager
Prerequisites
Basic programming experience
Basic familiarity & usage of Apache Spark is useful
Participants should bring their laptop
Participants need to signup for free Databricks Community Edition account - https://community.cloud.databricks.com/
Workshop exercises will be done in Scala

Workshop duration: 8 hrs with 1 hr lunch break and 2 breaks

Instructor language: English

This workshop will cover the following topics:

- Introduction to Machine Learning
- Machine Learning Development Process
- Apache Spark Overview
- Core concepts in Apache Spark MLlib component
- Data exploratory analysis and feature engineering
- Develop Machine Learning applications using following algorithms
- Classification & Regression

Workshop Option 2: Data Engineering Workshop with Apache Spark

Speaker’s Bio
Ganesh Chand
Data Engineer @ Databricks
LinkedIn : https://www.linkedin.com/in/chandganesh/
Twitter handle: @geechand

Ganesh Chand is a data engineer and consultant at Databricks with 10+ years of industry experience. He is particularly passionate about solving world’s toughest data engineering problems using latest and greatest open source technologies such as Apache Spark, Apache Kafka etc. He also runs Kathmandu Apache Spark meetup group and has given numerous presentations on Apache Spark and functional programming using Scala.

Workshop Details
Title: Introduction to Data Engineering with Apache Spark

Target audience:
Data Engineer, Data Analyst, Product Manager and Technical manager

Prerequisites
- Basic programming and SQL experience
- Basic familiarity & usage of Apache Spark is useful
- Participants should bring their laptop
- Participants need to signup for free Databricks Community Edition
account - https://community.cloud.databricks.com/
- Workshop exercises will be done in Scala

Workshop duration: 8 hrs with 1 hr lunch break and 2 breaks

Instructor language: English

This workshop will cover the following topics:

- Introduction to Data Engineering
- Data engineering - past, present and future
- SQL Overview
- Apache Spark Overview
- Introduction to DataFrame and Dataset API
- Running interactive / ad-hoc queries
- We’ll build an end-to-end ETL pipeline

Neetam Limbu

Hong Kong Data science Lab

Technology

Artificial Intelligence

Python

Cloud Computing

Scala

Big Data

Machine Learning

Data Analytics

Data Visualization

Predictive Analytics

Data Mining

Data Science

Apache Spark

Apache Kafka

Data Engineering

Data Science & Data Engineering Workshop

Fortune Building

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Data Science & Data Engineering Workshop

Hong Kong Data science Lab

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