Cloudera Data Scientist Training

Data Scientist Training

Summary

This four-day workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges.

Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment.

Description

The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful.

Duration

4 Days

Objectives

The workshop includes brief lectures, interactive demonstrations, hands-on exercises, and discussions covering topics including:

• Overview of data science and machine learning at scale

• Overview of the Hadoop ecosystem

• Working with HDFS data and Hive tables using Hue

• Introduction to Cloudera Data Science Workbench

• Overview of Apache Spark 2

• Reading and writing data

• Inspecting data quality

• Cleansing and transforming data

• Summarizing and grouping data

• Combining, splitting, and reshaping data

• Exploring data

• Configuring, monitoring, and troubleshooting Spark applications

• Overview of machine learning in Spark MLlib

• Extracting, transforming, and selecting features

• Building and evaluating regression models

• Building and evaluating classification models

• Building and evaluating clustering models

• Cross-validating models and tuning hyperparameters

• Building machine learning pipelines

• Deploying machine learning models

Technologies

Participants gain practical skills and hands-on experience with data science tools including:

• Spark, Spark SQL, and Spark MLlib

• PySpark and sparklyr

• Cloudera Data Science Workbench (CDSW)

• Hue

Prerequisites

Workshop participants should have a basic understanding of Python or R and some experience exploring and analyzing data and developing statistical or machine learning models. Knowledge of Hadoop or Spark is not required.

Setup Requirements

Strong internet connection is required throughout the class.

For VIRTUAL deliveries of this course, please note:

The interactive demonstrations and exercises will be conducted using Cloudera Data Science Workbench (CDSW). The learning experience will be enhanced if the student has two monitors: one to display the instructor's CDSW environment and the other to display the student's CDSW environment.

Upcoming Classes

Australia

Location Oct 2018 Nov 2018 Dec 2018 Jan 2019
Sydney, Australia (Training Choice - Cloudera) Oct 23 – Oct 26

Classes in bold are guaranteed to run!

Italy

Location Oct 2018 Nov 2018 Dec 2018 Jan 2019
Rome, Italy (GCI) Nov 6 – Nov 9

Classes in bold are guaranteed to run!

Online

Instructor-led online training

Location Oct 2018 Nov 2018 Dec 2018 Jan 2019
Virtual Classroom, AMER (Cloudera) Nov 6 – Nov 9
Dec 4 – Dec 7
Jan 15 – Jan 18
Virtual Classroom, EMEA (PUE) Nov 19 – Nov 22
Virtual Classroom, EMEA (Cloudera) Jan 8 – Jan 11

Classes in bold are guaranteed to run!

United States

Location Oct 2018 Nov 2018 Dec 2018 Jan 2019
San Francisco, CA (ExitCertified) Nov 13 – Nov 16
Herndon, VA (ExitCertified) Dec 11 – Dec 14

Classes in bold are guaranteed to run!

Germany

Location Oct 2018 Nov 2018 Dec 2018 Jan 2019
Frankfurt, Germany (ExperTeach) Nov 20 – Nov 23

Classes in bold are guaranteed to run!

Singapore

Location Oct 2018 Nov 2018 Dec 2018 Jan 2019
Singapore, Singapore (SoftSource) Nov 20 – Nov 23

Classes in bold are guaranteed to run!

Spain

Location Oct 2018 Nov 2018 Dec 2018 Jan 2019
Madrid, Spain (PUE) Nov 26 – Nov 29

Classes in bold are guaranteed to run!

Czech Republic

Location Oct 2018 Nov 2018 Dec 2018 Jan 2019
Prague, Czech Republic (Compendium) Dec 3 – Dec 6

Classes in bold are guaranteed to run!

United Kingdom

Location Oct 2018 Nov 2018 Dec 2018 Jan 2019
London, England (Training Room Hire) Dec 11 – Dec 14

Classes in bold are guaranteed to run!

Onsite Training

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Public Training

SYDNEY, NSW

Virtual Classroom, AMER (Cloudera)

Virtual Classroom, EMEA (PUE)

DIETZENBACH

Madrid, Madrid

London

Virtual Classroom, EMEA (Cloudera)

Prague

San Francisco, CA

Rome, Italy

Singapore, Singapore

Herndon, VA


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