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.
This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of a big data ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges.
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
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
Participants gain practical skills and hands-on experience with data science tools including:
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.
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 require
On successful completion of the training program, participants will receive the certificate of participation from Cloudera.